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Browsing by Author "Rajsic, Sasa (57196448260)"

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    Publication
    Alcohol use and burden for 195 countries and territories, 1990-2016: A systematic analysis for the Global Burden of Disease Study 2016
    (2018)
    Griswold, Max G. (57203935463)
    ;
    Fullman, Nancy (57211064970)
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    Hawley, Caitlin (57196078801)
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    Arian, Nicholas (57199421908)
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    Zimsen, Stephanie R. M. (57196078433)
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    Tymeson, Hayley D. (57194139009)
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    Venkateswaran, Vidhya (59829999400)
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    Tapp, Austin Douglas (57204244942)
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    Forouzanfar, Mohammad H. (57202562738)
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    Salama, Joseph S. (57202975625)
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    Abate, Kalkidan Hassen (57207943858)
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    Abate, Degu (57204237665)
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    Abay, Solomon M. (35306466900)
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    Abbafati, Cristiana (54917122400)
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    Abdulkader, Rizwan Suliankatchi (57195295816)
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    Abebe, Zegeye (57193002719)
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    Aboyans, Victor (56214736500)
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    Abrar, Mohammed Mehdi (59776872400)
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    Acharya, Pawan (56435749900)
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    Adetokunboh, Olatunji O. (56598104300)
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    Adhikari, Tara Ballav (57209325586)
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    Adsuar, Jose C. (21738958900)
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    Afarideh, Mohsen (56227034300)
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    Agardh, Emilie Elisabet (57202373873)
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    Agarwal, Gina (57220151944)
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    Aghayan, Sargis Aghasi (57202646096)
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    Agrawal, Sutapa (57202841733)
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    Ahmed, Muktar Beshir (57207802317)
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    Akibu, Mohammed (57217239713)
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    Akinyemiju, Tomi (57202561503)
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    Akseer, Nadia (57207801968)
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    Al Asfoor, Deena H. (58083209400)
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    Al-Aly, Ziyad (9738161500)
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    Alahdab, Fares (55135922900)
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    Alam, Khurshid (57203681299)
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    Albujeer, Ammar (57194179553)
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    Alene, Kefyalew Addis (57202583764)
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    Ali, Raghib (57196506541)
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    Ali, Syed Danish (57191597869)
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    Alijanzadeh, Mehran (56236864700)
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    Aljunid, Syed Mohamed (6504304159)
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    Alkerwi, Ala'A (57197724313)
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    Allebeck, Peter (7005187575)
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    Alvis-Guzman, Nelson (57210741239)
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    Amare, Azmeraw T. (57202220009)
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    Aminde, Leopold N. (56287711300)
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    Ammar, Walid (57208159281)
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    Amoako, Yaw Ampem (44960986700)
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    Amul, Gianna Gayle Herrera (57193319949)
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    Andrei, Catalina Liliana (36543507200)
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    Angus, Colin (55601225500)
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    Ansha, Mustafa Geleto (57195329453)
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    Antonio, Carl Abelardo T. (55247644500)
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    Aremu, Olatunde (57214958833)
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    Ärnlöv, Johan (6602512227)
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    Artaman, Al (57217223811)
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    Aryal, Krishna K. (57203859052)
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    Assadi, Reza (57203677411)
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    Ausloos, Marcel (7101798907)
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    Avila-Burgos, Leticia (8530790100)
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    Avokpaho, Euripide F. G. A. (57209842037)
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    Awasthi, Ashish (58420926700)
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    Ayele, Henok Tadesse (55573710400)
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    Ayer, Rakesh (56051098100)
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    Ayuk, Tambe B. (57203307639)
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    Azzopardi, Peter S. (56861081000)
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    Badali, Hamid (15123728900)
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    Badawi, Alaa (57216776029)
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    Banach, Maciej (22936699500)
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    Barker-Collo, Suzanne Lyn (57193065514)
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    Barrero, Lope H. (57208560675)
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    Basaleem, Huda (6505771974)
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    Baye, Estifanos (57185636200)
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    Bazargan-Hejazi, Shahrzad (57205912040)
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    Bedi, Neeraj (57988442200)
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    Béjot, Yannick (14038743100)
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    Belachew, Abate Bekele (57201657313)
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    Belay, Saba Abraham (57203298880)
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    Bennett, Derrick A. (57650836400)
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    Bensenor, Isabela M. (7004830338)
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    Bernabe, Eduardo (57194696150)
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    Bernstein, Robert S. (56971681200)
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    Beyene, Addisu Shunu (57209036705)
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    Beyranvand, Tina (57203000763)
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    Bhaumik, Soumyadeeep (55643126300)
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    Bhutta, Zulfiqar A. (24342648300)
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    Biadgo, Belete (55672090500)
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    Bijani, Ali (23134684900)
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    Bililign, Nigus (57216264444)
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    Birlik, Sait Mentes (57190275478)
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    Birungi, Charles (57195448297)
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    Bizuneh, Hailemichael (57195417986)
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    Bjerregaard, Peter (7103370134)
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    Bjørge, Tone (7004208100)
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    Borges, Guilherme (35373585600)
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    Bosetti, Cristina (7005452936)
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    Boufous, Soufiane (6507794444)
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    Bragazzi, Nicola Luigi (57212030091)
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    Brenner, Hermann (7201832825)
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    Butt, Zahid A. (57202522739)
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    Cahuana-Hurtado, Lucero (57207890731)
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    Calabria, Bianca (57205464614)
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    Campos-Nonato, Ismael R. (57203424784)
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    Rincon, Julio Cesar Campuzano (57203662782)
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    Carreras, Giulia (57221176357)
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    Carrero, Juan J. (16834646800)
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    Carvalho, Félix (7103070417)
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    Castañeda-Orjuela, Carlos A. (35769124700)
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    Rivas, Jacqueline Castillo (57222007846)
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    Catalá-López, Ferrán (57202553733)
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    Chang, Jung-Chen (57202568248)
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    Charlson, Fiona J. (57191632086)
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    Chattopadhyay, Aparajita (14827821600)
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    Chaturvedi, Pankaj (35547314900)
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    Chowdhury, Rajiv (57216138475)
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    Christopher, Devasahayam J. (57209863533)
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    Chung, Sheng-Chia (56008137900)
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    Ciobanu, Liliana G. (57201603453)
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    Claro, Rafael M. (16834671700)
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    Conti, Sara (24329297700)
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    Cousin, Ewerton (57194620705)
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    Criqui, Michael H. (7005209601)
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    Dachew, Berihun Assefa (56289825700)
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    Dargan, Paul I. (57212154356)
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    Daryani, Ahmad (16021522200)
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    Das Neves, José (57208073193)
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    Davletov, Kairat (6602803024)
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    De Castro, Filipa (16063510700)
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    De Courten, Barbora (57208309416)
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    De Neve, Jan-Walter (57039962400)
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    Degenhardt, Louisa (7004040033)
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    Demoz, Gebre Teklemariam (57202214514)
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    Des Jarlais, Don C. (56990451200)
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    Dey, Subhojit (25958052600)
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    Dhaliwal, Rupinder Singh (36808106600)
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    Dharmaratne, Samath Dhamminda (57216324802)
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    Dhimal, Meghnath (54941157300)
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    Doku, David Teye (36015210300)
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    Doyle, Kerrie E. (55693710800)
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    Dubey, Manisha (57219898654)
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    Dubljanin, Eleonora (55957442600)
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    Duncan, Bruce B. (35476478500)
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    Ebrahimi, Hedyeh (57195329214)
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    Edessa, Dumessa (56922334200)
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    El Sayed Zaki, Maysaa (57203666922)
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    Ermakov, Sergei Petrovich (7006796196)
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    Erskine, Holly E. (57202798676)
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    Esteghamati, Alireza (11240321100)
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    Faramarzi, Mahbobeh (8928307700)
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    Farioli, Andrea (57207608705)
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    Faro, Andre (36770969600)
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    Farvid, Maryam S. (57216534761)
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    Farzadfar, Farshad (57195049611)
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    Feigin, Valery L. (57203677957)
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    Felisbino-Mendes, Mariana Santos (24343786400)
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    Fernandes, Eduarda (34770207500)
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    Ferrari, Alize J. (57195348907)
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    Ferri, Cleusa P. (7103090584)
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    Fijabi, Daniel Obadare (56133163100)
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    Filip, Irina (55570061400)
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    Finger, Jonas David (55520957700)
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    Fischer, Florian (55508208800)
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    Flaxman, Abraham D. (6602883567)
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    Franklin, Richard Charles (7201428429)
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    Futran, Neal D. (35554564000)
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    Gallus, Silvano (7005387365)
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    Ganji, Morsaleh (57211874807)
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    Gankpe, Fortune Gbetoho (57201341525)
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    Gebregergs, Gebremedhin Berhe (57078990000)
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    Gebrehiwot, Tsegaye Tewelde (57216482917)
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    Geleijnse, Johanna M. (35195702500)
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    Ghadimi, Reza (57202290802)
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    Ghandour, Lilian A. (7801515572)
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    Ghimire, Mamata (57190385188)
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    Gill, Paramjit Singh (7202766660)
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    Ginawi, Ibrahim Abdelmageed (57192378390)
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    Giref, Ababi Zergaw Z. (57219994468)
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    Gona, Philimon N. (57219703762)
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    Gopalani, Sameer Vali (57190277891)
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    Gotay, Carolyn C. (35480913900)
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    Goulart, Alessandra C. (57201181348)
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    Greaves, Felix (57211346256)
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    Grosso, Giuseppe (57196998256)
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    Guo, Yuming (55712472800)
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    Gupta, Rahul (57204120071)
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    Gupta, Rajeev (55705295300)
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    Gupta, Vipin (57199940653)
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    Gutiérrez, Reyna Alma (57200298415)
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    Gvs, Murthy (57204244144)
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    Hafezi-Nejad, Nima (57216814261)
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    Hagos, Tekleberhan Beyene (57204236893)
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    Hailu, Gessessew Bugssa (57219637263)
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    Hamadeh, Randah R. (57202769526)
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    Hamidi, Samer (24366336000)
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    Hankey, Graeme J. (7102816661)
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    Harb, Hilda L. (57221443122)
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    Harikrishnan, Sivadasanpillai (57202524069)
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    Haro, Josep Maria (57215877903)
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    Hassen, Hamid Yimam (57188660707)
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    Havmoeller, Rasmus (57212075728)
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    Hay, Simon I. (7101875313)
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    Heibati, Behzad (55341086000)
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    Henok, Andualem (57196451824)
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    Heredia-Pi, Ileana (36941085200)
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    Hernández-Llanes, Norberto Francisco (56725650800)
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    Herteliu, Claudiu (26035943100)
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    Ts Tsegaw Hibstu, Desalegn (57207864315)
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    Hoogar, Praveen (57204240256)
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    Horita, Nobuyuki (57217110823)
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    Hosgood, H. Dean (56353204400)
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    Hosseini, Mostafa (57204569481)
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    Hostiuc, Mihaela (51763789200)
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    Hu, Guoqing (57218106596)
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    Huang, Hsiang (57202278530)
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    Husseini, Abdullatif (6603689690)
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    Idrisov, Bulat (57208773503)
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    Ileanu, Bogdan Vasile (57202148423)
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    Ilesanmi, Olayinka Stephen (54782692800)
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    Irvani, Seyed Sina Naghibi (57202975543)
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    Islam, Sheikh Mohammed Shariful (56400111100)
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    Jackson, Maria D. (55456026100)
    ;
    Jakovljevic, Mihajlo (14318929700)
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    Jalu, Moti Tolera (57200541197)
    ;
    Jayatilleke, Achala Upendra (57204797176)
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    Jha, Ravi Prakash (58586863400)
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    Jonas, Jost B. (7202492953)
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    Jozwiak, Jacek Jerzy (21833993700)
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    Kabir, Zubair (57207901718)
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    Kadel, Rajendra (57196080325)
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    Kahsay, Amaha (57216608121)
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    Kapil, Umesh (7102150974)
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    Kasaeian, Amir (57195540738)
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    Kassa, Tesfaye D. Dessale (58686045600)
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    Katikireddi, Srinivasa Vittal (6508254091)
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    Kawakami, Norito (35377339000)
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    Kebede, Seifu (9841418000)
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    Kefale, Adane Teshome (57194507694)
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    Keiyoro, Peter Njenga (57203177260)
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    Kengne, Andre Pascal (7801322838)
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    Khader, Yousef (55654192600)
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    Khafaie, Morteza Abdullatif (55608324700)
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    Khalil, Ibrahim A. (58255049500)
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    Khan, Md Nuruzzaman (57209404949)
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    Khang, Young-Ho (57198904674)
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    Khater, Mona M. (57203308114)
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    Khubchandani, Jagdish (57211720011)
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    Kim, Cho-Il (57199973023)
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    Kim, Daniel (57223019104)
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    Kim, Yun Jin (57211086375)
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    Kimokoti, Ruth W. (8647554600)
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    Kisa, Adnan (6603346067)
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    Kivimäki, Mika (7004391239)
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    Kochhar, Sonali (57214107714)
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    Kosen, Soewarta (57211346192)
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    Koul, Parvaiz A. (14022262900)
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    Koyanagi, Ai (57197741912)
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    Krishan, Kewal (57202279708)
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    Defo, Barthelemy Kuate (6602271655)
    ;
    Bicer, Burcu Kucuk (57204528360)
    ;
    Kulkarni, Veena S. (57200084922)
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    Kumar, Pushpendra (57208849920)
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    Lafranconi, Alessandra (55767061200)
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    Balaji, Arjun Lakshmana (57191592736)
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    Lalloo, Ratilal (57189334553)
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    Lallukka, Tea (6508300634)
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    Lam, Hilton (35484312600)
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    Lami, Faris Hasan (57200737005)
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    Lan, Qing (23970641100)
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    Lang, Justin J. (57189384487)
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    Lansky, Sonia (56038709700)
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    Larsson, Anders O. (56381985300)
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    Latifi, Arman (57203006419)
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    Leasher, Janet L. (57197789738)
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    Lee, Paul H. (57200302692)
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    Leigh, James (7202089604)
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    Leinsalu, Mall (6603447541)
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    Leung, Janni (57214397752)
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    Levi, Miriam (54893035000)
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    Li, Yichong (57218426673)
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    Lim, Lee-Ling (56988527400)
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    Linn, Shai (7102590173)
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    Liu, Shiwei (57209574351)
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    Lobato-Cordero, Andrea (57191440283)
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    Lopez, Alan D. (7401455668)
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    Lotufo, Paulo A. (7003331101)
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    Macarayan, Erlyn Rachelle King (56330601800)
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    Machado, Isis Eloah (56048981000)
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    Madotto, Fabiana (16029150500)
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    Abd El Razek, Hassan Magdy (57195948985)
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    Abd El Razek, Muhammed Magdy (57192379650)
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    Majdan, Marek (36147855100)
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    Majdzadeh, Reza (9246620000)
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    Majeed, Azeem (7102027801)
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    Malekzadeh, Reza (7005197760)
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    Malta, Deborah Carvalho (15835283500)
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    Mapoma, Chabila Christopher (57208956832)
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    Martinez-Raga, Jose (57202861191)
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    Maulik, Pallab K. (7005919685)
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    Mazidi, Mohsen (57200232563)
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    McKee, Martin (7202304775)
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    Mehta, Varshil (57158753300)
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    Meier, Toni (36678887300)
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    Mekonen, Tesfa (56118971700)
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    Meles, Kidanu Gebremariam (57951018400)
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    Melese, Addisu (56901393600)
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    Memiah, Peter T. N. (57217207827)
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    Mendoza, Walter (57216905642)
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    Mengistu, Desalegn Tadese (57194776802)
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    Mensah, George A. (57196028147)
    ;
    Meretoja, Tuomo J. (57202554188)
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    Mezgebe, Haftay Berhane (57222113213)
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    Miazgowski, Tomasz (6701404689)
    ;
    Miller, Ted R. (7403948600)
    ;
    Mini, Gk (12800865800)
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    Mirica, Andreea (57188983765)
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    Mirrakhimov, Erkin M. (57216202888)
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    Moazen, Babak (57204324006)
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    Mohammad, Karzan Abdulmuhsin (57205300378)
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    Mohammadifard, Noushin (23110866700)
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    Mohammed, Shafiu (57838689000)
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    Monasta, Lorenzo (7801520497)
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    Moraga, Paula (46761426800)
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    Morawska, Lidia (7004773965)
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    Mousavi, Seyyed Meysam (56165159700)
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    Mukhopadhyay, Satinath (36342847700)
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    Musa, Kamarul Imran (57194536466)
    ;
    Naheed, Aliya (57202560989)
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    Naik, Gurudatta (56020694000)
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    Najafi, Farid (21743304900)
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    Nangia, Vinay (57201490837)
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    Nansseu, Jobert Richie (55548984700)
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    Nayak, Mudavath Siva Durga Prasad (58594293800)
    ;
    Nejjari, Chakib (6602168304)
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    Neupane, Subas (57215632313)
    ;
    Neupane, Sudan Prasad (55270561200)
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    Ngunjiri, Josephine W. (57195296110)
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    Nguyen, Cuong Tat (56531347200)
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    Nguyen, Long Hoang (56567321800)
    ;
    Nguyen, Trang Huyen (59142352200)
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    Ningrum, Dina Nur Anggraini (57195329470)
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    Nirayo, Yirga Legesse (57201651103)
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    Noubiap, Jean Jacques (55490374000)
    ;
    Ofori-Asenso, Richard (57209300265)
    ;
    Ogbo, Felix Akpojene (57200737136)
    ;
    Oh, In-Hwan (57204090669)
    ;
    Oladimeji, Olanrewaju (57216495380)
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    Olagunju, Andrew T. (26029995700)
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    Olivares, Pedro R. (7003510190)
    ;
    Olusanya, Bolajoko Olubukunola (57218504682)
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    Olusanya, Jacob Olusegun (57222488860)
    ;
    Oommen, Anu Mary (57044459700)
    ;
    Oren, Eyal (36815569400)
    ;
    Orpana, Heather M. (6507559930)
    ;
    Ortega-Altamirano, Doris D. V. (6505938824)
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    Ortiz, Justin R. (57201758478)
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    Ota, Erika (57202554474)
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    Owolabi, Mayowa Ojo (57222581892)
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    Oyekale, Abayomi Samuel (57200949556)
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    Mahesh, P.A. (57202421244)
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    Pana, Adrian (57191837583)
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    Park, Eun-Kee (57216814178)
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    Parry, Charles D. H. (7102561312)
    ;
    Parsian, Hadi (55991107900)
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    Patle, Ajay (57203309187)
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    Patton, George C. (7102184358)
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    Paudel, Deepak (57207871851)
    ;
    Petzold, Max (7003628893)
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    Phillips, Michael R. (57202563610)
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    Pillay, Julian David (57197803061)
    ;
    Postma, Maarten J. (7006296502)
    ;
    Pourmalek, Farshad (8309390500)
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    Prabhakaran, Dorairaj (7004283783)
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    Qorbani, Mostafa (24831040300)
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    Radfar, Amir (57194428768)
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    Rafay, Anwar (57212263323)
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    Rafiei, Alireza (13205769200)
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    Rahim, Fakher (23052247800)
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    Rahimi-Movaghar, Afarin (8696686900)
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    Rahman, Mahfuzar (35571661300)
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    Rahman, Muhammad Aziz (55327627600)
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    Rai, Rajesh Kumar (51864423900)
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    Rajsic, Sasa (57196448260)
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    Raju, Sree Bhushan (8983666100)
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    Ram, Usha (26653819000)
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    Rana, Saleem M. (57204884092)
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    Ranabhat, Chhabi Lal (56719695500)
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    Rawaf, David Laith (57209228052)
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    Rawaf, Salman (6602475959)
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    Reiner, Robert C. (57203229088)
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    Reis, Cesar (56611469700)
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    Renzaho, Andre M. N. (6505786588)
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    Rezai, Mohammad Sadegh (55273796300)
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    Roever, Leonardo (56641632800)
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    Ronfani, Luca (6602565620)
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    Room, Robin (57202570958)
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    Roshandel, Gholamreza (14034446800)
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    Rostami, Ali (59144808300)
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    Roth, Gregory A. (55074747400)
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    Roy, Ambuj (7402704658)
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    Sabde, Yogesh Damodar (54793337800)
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    Saddik, Basema (23020079300)
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    Safiri, Saeid (56009654100)
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    Sahebkar, Amirhossein (26639699900)
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    Salomon, Joshua A. (56745638600)
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    Salvi, Sundeep Santosh (7005258777)
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    Sanabria, Juan (7006262917)
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    Sanchez-Niño, Maria Dolores (57202569015)
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    Santomauro, Damian Francesco (56912450700)
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    Santos, Itamar S. (57198312911)
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    Santric Milicevic, Milena M. M. (57211144346)
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    Sarker, Abdur Razzaque (55908816200)
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    Sarmiento-Suárez, Rodrigo (57204744430)
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    Sarrafzadegan, Nizal (6701751316)
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    Sartorius, Benn (12788526800)
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    Satpathy, Maheswar (57202563691)
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    Sawhney, Monika (57217153893)
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    Saxena, Sonia (57203151746)
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    Saylan, Mete (56253241700)
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    Schaub, Michael P. (57117394900)
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    Schmidt, Maria Inês (7404398885)
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    Schneider, Ione J. C. (57201292772)
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    Schöttker, Ben (37665918200)
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    Schutte, Aletta Elisabeth (57216814352)
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    Schwendicke, Falk (55639536600)
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    Sepanlou, Sadaf G. (36248136000)
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    Shaikh, Masood Ali (57203122601)
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    Sharif, Mehdi (16022734200)
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    She, Jun (57209122131)
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    Sheikh, Aziz (7202522962)
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    Shen, Jiabin (57199271940)
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    Shiferaw, Mekonnen Sisay (57205232012)
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    Shigematsu, Mika (23968093000)
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    Shiri, Rahman (57200737050)
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    Shishani, Kawkab (14025005500)
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    Shiue, Ivy (35811219800)
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    Shukla, Sharvari Rahul (55760856000)
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    Sigfusdottir, Inga Dora (57195363778)
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    Silva, Diego Augusto Santos (36985158000)
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    Da Silva, Natacha Torres (57207324515)
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    Silveira, Dayane Gabriele Alves (57190284103)
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    Sinha, Dhirendra Narain (7201637609)
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    Sitas, Freddy (7003393668)
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    Filho, Adauto Martins Soares (49961178500)
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    Soofi, Moslem (56373891000)
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    Sorensen, Reed J. D. (24170882700)
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    Soriano, Joan B. (7101973935)
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    Sreeramareddy, Chandrashekhar T. (57212263335)
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    Steckling, Nadine (57199195462)
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    Stein, Dan J. (55769747595)
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    Sufiyan, Mu'Awiyyah Babale (58294633600)
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    Sur, Patrick J. (57218360398)
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    Sykes, Bryan L. (57211183396)
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    Tabarés-Seisdedos, Rafael (6602981102)
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    Tabuchi, Takahiro (55177892400)
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    Tekle, Merhawi Gebremedhin (57204237146)
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    Thomas, Nihal (7401830494)
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    Topor-Madry, Roman (57211182892)
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    Topouzis, Fotis (57194262710)
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    Tran, Bach Xuan (57209107515)
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    Troeger, Christopher E. (57195223624)
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    Ukwaja, Kingsley Nnanna (57202824584)
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    Uthman, Olalekan A. (23026328100)
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    Valdez, Pascual R. (57202115577)
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    Van Boven, Job F. M. (53464198500)
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    Vasankari, Tommi Juhani (57200592416)
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    Venketasubramanian, Narayanaswamy (56804702100)
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    Vladimirov, Sergey Konstantinovitch (57195959162)
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    Weldegwergs, Kidu Gidey (57203308107)
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    Whiteford, Harvey A. (55906494000)
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    Wyper, Grant M. A. (56503829800)
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    Xu, Gelin (57203583113)
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    Yamada, Tomohide (37662679800)
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    Yano, Yuichiro (57196965200)
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    Ye, Pengpeng (57202839295)
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    Yimer, Ebrahim M. (57202256312)
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    Yip, Paul (7102503720)
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    Yirsaw, Biruck Desalegn (49664327400)
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    Yisma, Engida (55556060700)
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    Yonemoto, Naohiro (57204947657)
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    Yoon, Seok-Jun (24823148900)
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    Yotebieng, Marcel (26325950800)
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    Younis, Mustafa Z. (8549393000)
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    Zachariah, Geevar (55421383400)
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    Zaidi, Zoubida (57197376721)
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    Zamani, Mohammad (59866744200)
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    Zhang, Xueying (56283378700)
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    Zodpey, Sanjay (7003415080)
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    Mokdad, Ali H. (7004813962)
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    Naghavi, Mohsen (57207906323)
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    Murray, Christopher J. L. (55481130700)
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    Gakidou, Emmanuela (57202567277)
    Background: Alcohol use is a leading risk factor for death and disability, but its overall association with health remains complex given the possible protective effects of moderate alcohol consumption on some conditions. With our comprehensive approach to health accounting within the Global Burden of Diseases, Injuries, and Risk Factors Study 2016, we generated improved estimates of alcohol use and alcohol-attributable deaths and disability-adjusted lifeyears (DALYs) for 195 locations from 1990 to 2016, for both sexes and for 5-year age groups between the ages of 15 years and 95 years and older. Methods: Using 694 data sources of individual and population-level alcohol consumption, along with 592 prospective and retrospective studies on the risk of alcohol use, we produced estimates of the prevalence of current drinking, abstention, the distribution of alcohol consumption among current drinkers in standard drinks daily (defined as 10 g of pure ethyl alcohol), and alcohol-attributable deaths and DALYs. We made several methodological improvements compared with previous estimates: first, we adjusted alcohol sales estimates to take into account tourist and unrecorded consumption; second, we did a new meta-analysis of relative risks for 23 health outcomes associated with alcohol use; and third, we developed a new method to quantify the level of alcohol consumption that minimises the overall risk to individual health. Findings: Globally, alcohol use was the seventh leading risk factor for both deaths and DALYs in 2016, accounting for 2·2% (95% uncertainty interval [UI] 1·5-3·0) of age-standardised female deaths and 6·8% (5·8-8·0) of agestandardised male deaths. Among the population aged 15-49 years, alcohol use was the leading risk factor globally in 2016, with 3·8% (95% UI 3·2-4·3) of female deaths and 12·2% (10·8-13·6) of male deaths attributable to alcohol use. For the population aged 15-49 years, female attributable DALYs were 2·3% (95% UI 2·0-2·6) and male attributable DALYs were 8·9% (7·8-9·9). The three leading causes of attributable deaths in this age group were tuberculosis (1·4% [95% UI 1·0-1·7] of total deaths), road injuries (1·2% [0·7-1·9]), and self-harm (1·1% [0·6-1·5]). For populations aged 50 years and older, cancers accounted for a large proportion of total alcohol-attributable deaths in 2016, constituting 27·1% (95% UI 21·2-33·3) of total alcohol-attributable female deaths and 18·9% (15·3-22·6) of male deaths. The level of alcohol consumption that minimised harm across health outcomes was zero (95% UI 0·0-0·8) standard drinks per week. Interpretation: Alcohol use is a leading risk factor for global disease burden and causes substantial health loss. We found that the risk of all-cause mortality, and of cancers specifically, rises with increasing levels of consumption, and the level of consumption that minimises health loss is zero. These results suggest that alcohol control policies might need to be revised worldwide, refocusing on efforts to lower overall population-level consumption. Funding Bill & Melinda Gates Foundation. Copyright © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
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    Anti-Xa-guided Anticoagulation With Unfractionated Heparin and Thrombosis During Extracorporeal Membrane Oxygenation Support: A Systematic Review and Meta-analysis
    (2024)
    Rajsic, Sasa (57196448260)
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    Breitkopf, Robert (16023790100)
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    Treml, Benedikt (12771135100)
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    Jadzic, Dragana (56806949900)
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    Innerhofer, Nicole (55880894100)
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    Eckhardt, Christine (57227703500)
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    Oberleitner, Christoph (57919218300)
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    Nawabi, Fariha (59154599600)
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    Bukumiric, Zoran (36600111200)
    Objective: The initiation of extracorporeal membrane oxygenation (ECMO) triggers complex coagulation processes necessitating systemic anticoagulation. Therefore, anticoagulation monitoring is crucial to avoid adverse events such as thrombosis and hemorrhage. The main aim of this work was to analyze the association between anti-Xa levels and thrombosis occurrence during ECMO support. Design: Systematic literature review and meta-analysis (Scopus and PubMed, up to July 29, 2023). Setting: All retrospective and prospective studies. Participants: Patients receiving ECMO support. Intervention: Anticoagulation monitoring during ECMO support. Measurements and Main Results: A total of 16 articles with 1,968 patients were included in the review and 7 studies in the meta-analysis (n = 374). Patients with thrombosis had significantly lower mean anti-Xa values (standardized mean difference -0.36, 95% confidence interval [CI] -0.62 to -0.11, p < 0.01). Furthermore, a positive correlation was observed between unfractionated heparin infusion and anti-Xa levels (pooled estimate of correlation coefficients 0.31, 95% CI 0.19 to 0.43, p < 0.001). The most common adverse events were major bleeding (42%) and any kind of hemorrhage (36%), followed by thromboembolic events (30%) and circuit or oxygenator membrane thrombosis (19%). More than half of the patients did not survive to discharge (52%). Conclusions: This work revealed significantly lower levels of anti-Xa in patients experiencing thromboembolic events and a positive correlation between anti-Xa and unfractionated heparin infusion. Considering the contemplative limitations of conventional monitoring tools, further research on the role of anti-Xa is warranted. New trials should be encouraged to confirm these findings and determine the most suitable monitoring strategy for patients receiving ECMO support. © 2024 The Author(s)
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    Anticoagulation Monitoring Using Activated Clotting Time in Patients Receiving Extracorporeal Membrane Oxygenation: A Meta-Analysis of Correlation Coefficients
    (2024)
    Rajsic, Sasa (57196448260)
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    Schwaiger, Daniel (57564559100)
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    Schausberger, Lukas (57211587543)
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    Breitkopf, Robert (16023790100)
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    Treml, Benedikt (12771135100)
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    Jadzic, Dragana (56806949900)
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    Oberleitner, Christoph (57919218300)
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    Bukumiric, Zoran (36600111200)
    Objective: Extracorporeal membrane oxygenation (ECMO) requires systemic anticoagulation to maintain the circuit patency. However, the use of anticoagulation carries a risk of severe hemorrhage, necessitating rigorous monitoring. Activated clotting time (ACT) is a widely used monitoring tool; however, the evidence of its correlation with unfractionated heparin (UFH) infusion dose is limited. Here we aimed to analyze the correlation between ACT and UFH infusion during ECMO. Design: Systematic literature review and meta-analysis of correlation coefficients (Scopus and PubMed, up to July 13, 2024). PROSPERO: CRD42023448888 Setting: All retrospective and prospective studies Participants: Patients receiving ECMO support Intervention: Anticoagulation monitoring during ECMO support Measurements and Main Results: Nineteen studies were included in the analysis, and the meta-analysis encompassed 16 studies. The vast majority of studies (n = 15) found a weak correlation, and no study reported a strong correlation between ACT and UFH infusion dose. The meta-analysis (n = 12,625 samples) identified a weak correlation, with a pooled estimate of correlation coefficients of 0.132 (95% confidence interval 0.03-0.23). The most common adverse events were hemorrhage (pooled incidence, 45%) and thrombosis (30%), and 47% of the patients died during their hospital stay. Conclusions: Even though ACT is a widely used UFH monitoring tool in ECMO patients, our meta-analysis found a weak correlation between ACT and UFH infusion dose. New trials are needed to investigate the role of emerging tools and to clarify the most appropriate monitoring strategy for patients receiving ECMO support. © 2024 The Author(s)
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    aPTT-guided anticoagulation monitoring during ECMO support: A systematic review and meta-analysis
    (2023)
    Rajsic, Sasa (57196448260)
    ;
    Treml, Benedikt (12771135100)
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    Jadzic, Dragana (56806949900)
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    Breitkopf, Robert (16023790100)
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    Oberleitner, Christoph (57919218300)
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    Bachler, Mirjam (36661909800)
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    Bösch, Johannes (57221443759)
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    Bukumiric, Zoran (36600111200)
    Introduction: The initiation of the extracorporeal membrane oxygenation (ECMO) is associated with complex coagulatory and inflammatory processes and consequently needed anticoagulation. Systemic anticoagulation bears an additional risk of serious bleeding, and its monitoring is of immense importance. Therefore, our work aims to analyze the association of anticoagulation monitoring with bleeding during ECMO support. Material and methods: Systematic literature review and meta-analysis, complying with the PRISMA guidelines (PROSPERO-CRD42022359465). Results: Seventeen studies comprising 3249 patients were included in the final analysis. Patients experiencing hemorrhage had a longer activated partial thromboplastin time (aPTT), a longer ECMO duration, and higher mortality. We could not find strong evidence of any aPTT threshold association with the bleeding occurrence, as less than half of authors reported a potential relationship. Finally, we identified the acute kidney injury (66%, 233/356) and hemorrhage (46%, 469/1046) to be the most frequent adverse events, while almost one-half of patients did not survive to discharge (47%, 1192/2490). Conclusion: The aPTT-guided anticoagulation is still the standard of care in ECMO patients. We did not find strong evidence supporting the aPTT-guided monitoring during ECMO. Based on the weight of the available evidence, further randomized trials are crucial to clarify the best monitoring strategy. © 2023 The Authors
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    Association of Activated Clotting Time–Guided Anticoagulation with Complications during Extracorporeal Membrane Oxygenation Support: A Systematic Review and Meta-Analysis
    (2024)
    Schwaiger, Daniel (57564559100)
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    Schausberger, Lukas (57211587543)
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    Treml, Benedikt (12771135100)
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    Jadzic, Dragana (56806949900)
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    Innerhofer, Nicole (55880894100)
    ;
    Oberleitner, Christoph (57919218300)
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    Bukumiric, Zoran (36600111200)
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    Rajsic, Sasa (57196448260)
    Objective: Extracorporeal membrane oxygenation (ECMO) requires systemic anticoagulation to reduce the risk of thromboembolic events. Despite its historic role, activated clotting time (ACT) remains a widely used heparin monitoring method. Systematic evidence on the association of ACT-guided monitoring with hemorrhagic or thromboembolic complications does not exist. Design: Systematic literature review and meta-analysis (Scopus and PubMed, July 2023). Setting: All cohort studies. Participants: Patients receiving ECMO support. Intervention: Anticoagulation monitoring with ACT. Measurements and Main Results: We identified 3,177 publications, with 8 studies reporting the average ACT values for patients with and without bleeding. Meta-analysis revealed no significant difference in the compared groups (SMD = 0.69; 95% CI −0.05 to 1.43, p = 0.069; I2 = 87.4%). Three studies (n = 117 patients) reported on the average ACT values for patients with thrombosis, without significant differences in ACT between patients with and without thrombosis (SMD = 0.47; 95% CI −0.50 to 1.44, p = 0.342; I2 = 81.1%). Conclusions: Even though ACT is a widely used heparin monitoring tool, the evidence on its association with hemorrhagic or thromboembolic events is still controversial and limited. Further studies are essential to elucidate the role of ACT in anticoagulation monitoring during ECMO support. © 2024 The Author(s)
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    Association of anti-factor Xa-guided anticoagulation with hemorrhage during ECMO support: A systematic review and meta-analysis
    (2024)
    Rajsic, Sasa (57196448260)
    ;
    Breitkopf, Robert (16023790100)
    ;
    Treml, Benedikt (12771135100)
    ;
    Jadzic, Dragana (56806949900)
    ;
    Innerhofer, Nicole (55880894100)
    ;
    Eckhardt, Christine (57227703500)
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    Oberleitner, Christoph (57919218300)
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    Bukumiric, Zoran (36600111200)
    Background: The use of extracorporeal membrane oxygenation (ECMO) is associated with complex hemostatic changes. Systemic anticoagulation is initiated to prevent clotting in the ECMO system, but this comes with an increased risk of bleeding. Evidence on the use of anti-Xa-guided monitoring to prevent bleeding during ECMO support is limited. Therefore, we aimed to analyze the association between anti-factor Xa-guided anticoagulation and hemorrhage during ECMO. Methods: A systematic review and meta-analysis was performed (up to August 2023). PROSPERO: CRD42023448888. Results: Twenty-six studies comprising 2293 patients were included in the analysis, with six works being part of the meta-analysis. The mean anti-Xa values did not show a significant difference between patients with and without hemorrhage (standardized mean difference −0.05; 95% confidence interval [CI]: −0.19; 0.28, p =.69). We found a positive correlation between anti-Xa levels and unfractionated heparin dose (UFH; pooled estimate of correlation coefficients 0.44; 95% CI: 0.33; 0.55, p <.001). The most frequent complications were any type of hemorrhage (pooled 36%) and thrombosis (33%). Nearly half of the critically ill patients did not survive to hospital discharge (47%). Conclusions: The most appropriate tool for anticoagulation monitoring in ECMO patients is uncertain. Our analysis did not reveal a significant difference in anti-Xa levels in patients with and without hemorrhagic events. However, we found a moderate correlation between anti-Xa and the UFH dose, supporting its utilization in monitoring UFH anticoagulation. Given the limitations of time-guided monitoring methods, the role of anti-Xa is promising and further research is warranted. © 2024 The Authors. Clinical Cardiology published by Wiley Periodicals, LLC.
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    Association of aPTT-Guided Anticoagulation Monitoring with Thromboembolic Events in Patients Receiving V-A ECMO Support: A Systematic Review and Meta-Analysis
    (2023)
    Rajsic, Sasa (57196448260)
    ;
    Breitkopf, Robert (16023790100)
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    Treml, Benedikt (12771135100)
    ;
    Jadzic, Dragana (56806949900)
    ;
    Oberleitner, Christoph (57919218300)
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    Oezpeker, Ulvi Cenk (36644664200)
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    Innerhofer, Nicole (55880894100)
    ;
    Bukumiric, Zoran (36600111200)
    Background: The initiation of extracorporeal membrane oxygenation (ECMO) is associated with complex inflammatory and coagulatory processes, raising the need for systemic anticoagulation. The balance of anticoagulatory and procoagulant factors is essential, as therapeutic anticoagulation confers a further risk of potentially life-threatening bleeding. Therefore, our study aims to systematize and analyze the most recent evidence regarding anticoagulation monitoring and the thromboembolic events in patients receiving veno-arterial ECMO support. Methods: Using the PRISMA guidelines, we systematically searched the Scopus and PubMed databases up to October 2022. A weighted effects model was employed for the meta-analytic portion of the study. Results: Six studies comprising 1728 patients were included in the final analysis. Unfractionated heparin was used for anticoagulation, with an activated partial thromboplastin time (aPTT) monitoring goal set between 45 and 80 s. The majority of studies aimed to investigate the incidence of adverse events and potential risk factors for thromboembolic and bleeding events. None of the authors found any association of aPTT levels with the occurrence of thromboembolic events. Finally, the most frequent adverse events were hemorrhage (pooled 43%, 95% CI 28.4; 59.5) and any kind of thrombosis (pooled 36%, 95% CI 21.7; 53.7), and more than one-half of patients did not survive to discharge (pooled 54%). Conclusions: Despite the tremendous development of critical care, aPTT-guided systemic anticoagulation is still the standard monitoring tool. We did not find any association of aPTT levels with thrombosis. Further evidence and new trials should clarify the true incidence of thromboembolic events, along with the best anticoagulation and monitoring strategy in veno-arterial ECMO patients. © 2023 by the authors.
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    Cytomegalovirus Disease as a Risk Factor for Invasive Fungal Infections in Liver Transplant Recipients under Targeted Antiviral and Antimycotic Prophylaxis
    (2023)
    Breitkopf, Robert (16023790100)
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    Treml, Benedikt (12771135100)
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    Bukumiric, Zoran (36600111200)
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    Innerhofer, Nicole (55880894100)
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    Fodor, Margot (57201556783)
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    Radovanovic Spurnic, Aleksandra (57191847101)
    ;
    Rajsic, Sasa (57196448260)
    Cytomegalovirus (CMV) infection is the most common opportunistic infection that occurs following orthotopic liver transplantation (OLT). In addition to the direct infection-related symptoms, it also triggers an immunological response that may contribute to adverse clinical outcomes. CMV disease has been described as a predictor of invasive fungal infections (IFIs) but its role under an antiviral prophylaxis regimen is unclear. Methods: We retrospectively analyzed the medical records of 214 adult liver transplant recipients (LTRs). Universal antiviral prophylaxis was utilized in recipients with CMV mismatch; intermediate- and low-risk patients received pre-emptive treatment. Results: Six percent of patients developed CMV disease independent of their serostatus. The occurrence of CMV disease was associated with elevated virus load and increased incidence of leucopenia and IFIs. Furthermore, CMV disease was associated with higher one-year mortality and increased relapse rates within the first year of OLT. Conclusions: CMV disease causes significant morbidity and mortality in LTRs, directly affecting transplant outcomes. Due to the increased risk of IFIs, antifungal prophylaxis for CMV disease may be appropriate. Postoperative CMV monitoring should be considered after massive transfusion, even in low-risk serostatus constellations. In case of biliary complications, biliary CMV monitoring may be appropriate in the case of CMV-DNA blood-negative patients. © 2023 by the authors.
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    ECMO Predictors of Mortality: A 10-Year Referral Centre Experience
    (2022)
    Treml, Benedikt (12771135100)
    ;
    Breitkopf, Robert (16023790100)
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    Bukumirić, Zoran (36600111200)
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    Bachler, Mirjam (36661909800)
    ;
    Boesch, Johannes (57221443759)
    ;
    Rajsic, Sasa (57196448260)
    Background: Extracorporeal membrane oxygenation (ECMO) is a specialised life support modality for patients with refractory cardiac or respiratory failure. Multiple studies strived to evaluate the benefits of ECMO support, but its efficacy remains controversial with still inconsistent and sparse information. Methods: This retrospective analysis included patients with ECMO support, admitted between January 2010 and December 2019 at a tertiary university ECMO referral centre in Austria. The primary endpoint of the study was overall all-cause three-month mortality with risk factors and predictors of mortality. Secondary endpoints covered the analysis of demographic and clinical characteristics of patients needing ECMO, including incidence and type of adverse events during support. Results: In total, 358 patients fulfilled inclusion criteria and received ECMO support due to cardiogenic shock (258, 72%), respiratory failure (88, 25%) or hypothermia (12, 3%). In total, 41% (145) of patients died within the first three months, with the median time to death of 9 (1–87) days. The multivariate analysis identified hypothermia (HR 3.8, p < 0.001), the Simplified Acute Physiology Score III (HR 1.0, p < 0.001), ECMO initiation on weekends (HR 1.6, p = 0.016) and haemorrhage during ECMO support (HR 1.7, p = 0.001) as factors with higher risk for mortality. Finally, the most frequent adverse event was haemorrhage (160, 45%) followed by thrombosis. Conclusions: ECMO is an invasive advanced support system with a high risk of complications. Nevertheless, well-selected patients can be successfully rescued from life-threatening conditions by prolonging the therapeutic window to either solve the underlying problem or install a long-term assist device. Hypothermia, disease severity, initiation on weekends and haemorrhage during ECMO support increase the risk for mortality. In the case of decision making in a setting of limited (ICU) resources, the reported risk factors for mortality may be contemplable, especially when judging a possible ECMO support termination. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
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    Publication
    ECMO Support in Refractory Cardiogenic Shock: Risk Factors for Mortality
    (2022)
    Rajsic, Sasa (57196448260)
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    Breitkopf, Robert (16023790100)
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    Bukumiric, Zoran (36600111200)
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    Treml, Benedikt (12771135100)
    Background: Veno-arterial extracorporeal membrane oxygenation (va-ECMO) is a specialized temporary support for patients with refractory cardiogenic shock. The true value of this potentially lifesaving modality is still a subject of debate. Therefore, we aimed to investigate the overall in-hospital mortality and identify potential risk factors for mortality. Methods: We retrospectively analyzed the data of 453 patients supported with va-ECMO over a period of 14 years who were admitted to intensive care units of a tertiary university center in Austria. Results: We observed in-hospital mortality of 40% for patients with refractory cardiogenic shock. Hemorrhage, ECMO initiation on weekends, higher SAPS III score, and sepsis were identified as significant risk factors for mortality. Hemorrhage was the most common adverse event (46%), with major bleeding events dominating in deceased patients. Thromboembolic events occurred in 25% of patients, followed by sepsis (18%). Conclusions: Although the rates of complications are substantial, a well-selected proportion of patients with refractory cardiogenic shock can be rescued from probable death. The reported risk factors could be used to increase the awareness of clinicians towards the development of new therapeutic concepts that may reduce their incidence. © 2022 by the authors.
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    Erratum: Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017 (The Lancet (2018) 392(10159) (1736–1788)(S0140673618322037)(10.1016/S0140-6736(18)32203-7))
    (2018)
    Roth, Gregory A. (55074747400)
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    GBD 2017 Causes of Death Collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392: 1736–88—The bottom row in figure 7 was cut off. This correction has been made to the online version as of Nov 9, 2018, and has been made to the printed Article. © 2018 Elsevier Ltd
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    Erratum: Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017 (The Lancet (2018) 392(10159) (1923–1994), (S0140673618322256), (10.1016/S0140-6736(18)32225-6))
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    Thomas, Matthew Lloyd (57191835351)
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    Thomas, Nihal (7401830494)
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    Thurston, George D. (7102270013)
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    Tilahun, Binyam (57212075730)
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    Tillmann, Taavi (57190211142)
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    To, Quyen G. (55827789100)
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    Tobollik, Myriam (56549045300)
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    Tonelli, Marcello (7103102534)
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    Topor-Madry, Roman (57211182892)
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    Torre, Anna E. (57196074351)
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    Tortajada-Girbés, Miguel (16242320900)
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    Touvier, Mathilde (8877033300)
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    Tovani-Palone, Marcos Roberto (56644977900)
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    Towbin, Jeffrey A. (7102520568)
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    Tran, Bach Xuan (57209107515)
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    Tran, Khanh Bao (57201651536)
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    Truelsen, Thomas Clement (57202824565)
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    Truong, Nu Thi (57204178907)
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    Tsadik, Afewerki Gebremeskel (57204562442)
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    Tudor Car, Lorainne (48561867100)
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    Tuzcu, E. Murat (7005951350)
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    Tymeson, Hayley D. (57194139009)
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    Tyrovolas, Stefanos (57207793475)
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    Ukwaja, Kingsley N. (57202824584)
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    Ullah, Irfan (56992676600)
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    Updike, Rachel L. (57204698680)
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    Usman, Muhammad Shariq (57203046075)
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    Uthman, Olalekan A. (23026328100)
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    Vaduganathan, Muthiah (16417973600)
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    Vaezi, Afsane (55698015300)
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    Valdez, Pascual R. (57202115577)
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    Van Donkelaar, Aaron (15926418500)
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    Varavikova, Elena (7801408611)
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    Varughese, Santosh (22942817500)
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    Vasankari, Tommi Juhani (23096834700)
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    Venkateswaran, Vidhya (59829999400)
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    Venketasubramanian, Narayanaswamy (56804702100)
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    Villafaina, Santos (57195804127)
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    Violante, Francesco S. (7003555890)
    Background The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 comparative risk assessment (CRA) is a comprehensive approach to risk factor quantification that offers a useful tool for synthesising evidence on risks and risk–outcome associations. With each annual GBD study, we update the GBD CRA to incorporate improved methods, new risks and risk–outcome pairs, and new data on risk exposure levels and risk–outcome associations. Methods We used the CRA framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or groups of risks from 1990 to 2017. This study included 476 risk–outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk and exposure estimates from 46 749 randomised controlled trials, cohort studies, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. We explored the relationship between development and risk exposure by modelling the relationship between the Socio-demographic Index (SDI) and risk-weighted exposure prevalence and estimated expected levels of exposure and risk-attributable burden by SDI. Finally, we explored temporal changes in risk-attributable DALYs by decomposing those changes into six main component drivers of change as follows: (1) population growth; (2) changes in population age structures; (3) changes in exposure to environmental and occupational risks; (4) changes in exposure to behavioural risks; (5) changes in exposure to metabolic risks; and (6) changes due to all other factors, approximated as the risk-deleted death and DALY rates, where the risk-deleted rate is the rate that would be observed had we reduced the exposure levels to the TMREL for all risk factors included in GBD 2017. Findings In 2017, 34·1 million (95% uncertainty interval [UI] 33·3–35·0) deaths and 1·21 billion (1·14–1·28) DALYs were attributable to GBD risk factors. Globally, 61·0% (59·6–62·4) of deaths and 48·3% (46·3–50·2) of DALYs were attributed to the GBD 2017 risk factors. When ranked by risk-attributable DALYs, high systolic blood pressure (SBP) was the leading risk factor, accounting for 10·4 million (9·39–11·5) deaths and 218 million (198–237) DALYs, followed by smoking (7·10 million [6·83–7·37] deaths and 182 million [173–193] DALYs), high fasting plasma glucose (6·53 million [5·23–8·23] deaths and 171 million [144–201] DALYs), high body-mass index (BMI; 4·72 million [2·99–6·70] deaths and 148 million [98·6–202] DALYs), and short gestation for birthweight (1·43 million [1·36–1·51] deaths and 139 million [131–147] DALYs). In total, risk-attributable DALYs declined by 4·9% (3·3–6·5) between 2007 and 2017. In the absence of demographic changes (ie, population growth and ageing), changes in risk exposure and risk-deleted DALYs would have led to a 23·5% decline in DALYs during that period. Conversely, in the absence of changes in risk exposure and risk-deleted DALYs, demographic changes would have led to an 18·6% increase in DALYs during that period. The ratios of observed risk exposure levels to exposure levels expected based on SDI (O/E ratios) increased globally for unsafe drinking water and household air pollution between 1990 and 2017. This result suggests that development is occurring more rapidly than are changes in the underlying risk structure in a population. Conversely, nearly universal declines in O/E ratios for smoking and alcohol use indicate that, for a given SDI, exposure to these risks is declining. In 2017, the leading Level 4 risk factor for age-standardised DALY rates was high SBP in four super-regions: central Europe, eastern Europe, and central Asia; north Africa and Middle East; south Asia; and southeast Asia, east Asia, and Oceania. The leading risk factor in the high-income super-region was smoking, in Latin America and Caribbean was high BMI, and in sub-Saharan Africa was unsafe sex. O/E ratios for unsafe sex in sub-Saharan Africa were notably high, and those for alcohol use in north Africa and the Middle East were notably low. Interpretation By quantifying levels and trends in exposures to risk factors and the resulting disease burden, this assessment offers insight into where past policy and programme efforts might have been successful and highlights current priorities for public health action. Decreases in behavioural, environmental, and occupational risks have largely offset the effects of population growth and ageing, in relation to trends in absolute burden. Conversely, the combination of increasing metabolic risks and population ageing will probably continue to drive the increasing trends in non-communicable diseases at the global level, which presents both a public health challenge and opportunity. We see considerable spatiotemporal heterogeneity in levels of risk exposure and risk-attributable burden. Although levels of development underlie some of this heterogeneity, O/E ratios show risks for which countries are overperforming or underperforming relative to their level of development. As such, these ratios provide a benchmarking tool to help to focus local decision making. Our findings reinforce the importance of both risk exposure monitoring and epidemiological research to assess causal connections between risks and health outcomes, and they highlight the usefulness of the GBD study in synthesising data to draw comprehensive and robust conclusions that help to inform good policy and strategic health planning. Copyright © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
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    Extracorporeal membrane oxygenation for cardiogenic shock: a meta-analysis of mortality and complications
    (2022)
    Rajsic, Sasa (57196448260)
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    Treml, Benedikt (12771135100)
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    Jadzic, Dragana (56806949900)
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    Breitkopf, Robert (16023790100)
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    Oberleitner, Christoph (57919218300)
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    Popovic Krneta, Marina (57428070900)
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    Bukumiric, Zoran (36600111200)
    Background: Venoarterial extracorporeal membrane oxygenation (va-ECMO) is an advanced life support for critically ill patients with refractory cardiogenic shock. This temporary support bridges time for recovery, permanent assist, or transplantation in patients with high risk of mortality. However, the benefit of this modality is still subject of discussion and despite the continuous development of critical care medicine, severe cardiogenic shock remains associated with high mortality. Therefore, this work aims to analyze the current literature regarding in-hospital mortality and complication rates of va-ECMO in patients with cardiogenic shock. Methods: We conducted a systematic review and meta-analysis of the most recent literature to analyze the outcomes of va-ECMO support. Using the PRISMA guidelines, Medline (PubMed) and Scopus (Elsevier) databases were systematically searched up to May 2022. Meta-analytic pooled estimation of publications variables was performed using a weighted random effects model for study size. Results: Thirty-two studies comprising 12756 patients were included in the final analysis. Between 1994 and 2019, 62% (pooled estimate, 8493/12756) of patients died in the hospital. More than one-third of patients died during ECMO support. The most frequent complications were renal failure (51%, 693/1351) with the need for renal replacement therapy (44%, 4879/11186) and bleeding (49%, 1971/4523), bearing the potential for permanent injury or death. Univariate meta-regression analyses identified age over 60 years, shorter ECMO duration and presence of infection as variables associated with in-hospital mortality, while the studies reporting a higher incidence of cannulation site bleeding were unexpectedly associated with a reduced in-hospital mortality. Conclusions: Extracorporeal membrane oxygenation is an invasive life support with a high risk of complications. We identified a pooled in-hospital mortality of 62% with patient age, infection and ECMO support duration being associated with a higher mortality. Protocols and techniques must be developed to reduce the rate of adverse events. Finally, randomized trials are necessary to demonstrate the effectiveness of va-ECMO in cardiogenic shock. © 2022, The Author(s).
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    Global, regional, and national age-sex-specific mortality and life expectancy, 1950-2017: A systematic analysis for the Global Burden of Disease Study 2017
    (2018)
    Dicker, Daniel (57196026676)
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    Ayala Quintanilla, Beatriz Paulina (55598298700)
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    Cahuana-Hurtado, Lucero (57207890731)
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    Sharif-Alhoseini, Mahdi (35108018000)
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    Sharma, Jayendra (57195329457)
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    She, Jun (57209122131)
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    Sheikh, Aziz (7202522962)
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    Shi, Peilin (57203064901)
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    Shifa, Girma Temam (57211793093)
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    Shiferaw, Mekonnen Sisay (57205232012)
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    Shigematsu, Mika (23968093000)
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    Shiri, Rahman (57200737050)
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    Shirkoohi, Reza (12776374400)
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    Shiue, Ivy (35811219800)
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    Shokraneh, Farhad (36146063000)
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    Shrime, Mark G. (57204703404)
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    Shukla, Sharvari Rahul (55760856000)
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    Si, Si (56706979500)
    Background: Assessments of age-specifc mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Afairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally. Methods: The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specifc mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in diferent components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950. Findings: Globally, 18·7% (95% uncertainty interval 18·4-19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2-59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5-49·6) to 70·5 years (70·1-70·8) for men and from 52·9 years (51·7-54·0) to 75·6 years (75·3-75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5-51·7) for men in the Central African Republic to 87·6 years (86·9-88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3-238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6-42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2-5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development. Interpretation: This analysis of age-sex-specifc mortality shows that there are remarkably complex patterns in population mortality across countries. The fndings of this study highlight global successes, such as the large decline in under-5 mortality, which refects signifcant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing. © 2018 The Author(s).
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    Publication
    Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017
    (2018)
    Roth, Gregory A. (55074747400)
    ;
    Abate, Degu (57204237665)
    ;
    Abate, Kalkidan Hassen (57207943858)
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    Abay, Solomon M. (35306466900)
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    Abbafati, Cristiana (54917122400)
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    Abbasi, Nooshin (57212442022)
    ;
    Abbastabar, Hedayat (57212441848)
    ;
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    Whiteford, Harvey A. (55906494000)
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    Widecka, Justyna (15047205800)
    Background: Global development goals increasingly rely on country-specific estimates for benchmarking a nation's progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated global, regional, national, and, for selected locations, subnational cause-specific mortality beginning in the year 1980. Here we report an update to that study, making use of newly available data and improved methods. GBD 2017 provides a comprehensive assessment of cause-specific mortality for 282 causes in 195 countries and territories from 1980 to 2017. Methods: The causes of death database is composed of vital registration (VR), verbal autopsy (VA), registry, survey, police, and surveillance data. GBD 2017 added ten VA studies, 127 country-years of VR data, 502 cancer-registry country-years, and an additional surveillance country-year. Expansions of the GBD cause of death hierarchy resulted in 18 additional causes estimated for GBD 2017. Newly available data led to subnational estimates for five additional countries—Ethiopia, Iran, New Zealand, Norway, and Russia. Deaths assigned International Classification of Diseases (ICD) codes for non-specific, implausible, or intermediate causes of death were reassigned to underlying causes by redistribution algorithms that were incorporated into uncertainty estimation. We used statistical modelling tools developed for GBD, including the Cause of Death Ensemble model (CODEm), to generate cause fractions and cause-specific death rates for each location, year, age, and sex. Instead of using UN estimates as in previous versions, GBD 2017 independently estimated population size and fertility rate for all locations. Years of life lost (YLLs) were then calculated as the sum of each death multiplied by the standard life expectancy at each age. All rates reported here are age-standardised. Findings: At the broadest grouping of causes of death (Level 1), non-communicable diseases (NCDs) comprised the greatest fraction of deaths, contributing to 73·4% (95% uncertainty interval [UI] 72·5–74·1) of total deaths in 2017, while communicable, maternal, neonatal, and nutritional (CMNN) causes accounted for 18·6% (17·9–19·6), and injuries 8·0% (7·7–8·2). Total numbers of deaths from NCD causes increased from 2007 to 2017 by 22·7% (21·5–23·9), representing an additional 7·61 million (7·20–8·01) deaths estimated in 2017 versus 2007. The death rate from NCDs decreased globally by 7·9% (7·0–8·8). The number of deaths for CMNN causes decreased by 22·2% (20·0–24·0) and the death rate by 31·8% (30·1–33·3). Total deaths from injuries increased by 2·3% (0·5–4·0) between 2007 and 2017, and the death rate from injuries decreased by 13·7% (12·2–15·1) to 57·9 deaths (55·9–59·2) per 100 000 in 2017. Deaths from substance use disorders also increased, rising from 284 000 deaths (268 000–289 000) globally in 2007 to 352 000 (334 000–363 000) in 2017. Between 2007 and 2017, total deaths from conflict and terrorism increased by 118·0% (88·8–148·6). A greater reduction in total deaths and death rates was observed for some CMNN causes among children younger than 5 years than for older adults, such as a 36·4% (32·2–40·6) reduction in deaths from lower respiratory infections for children younger than 5 years compared with a 33·6% (31·2–36·1) increase in adults older than 70 years. Globally, the number of deaths was greater for men than for women at most ages in 2017, except at ages older than 85 years. Trends in global YLLs reflect an epidemiological transition, with decreases in total YLLs from enteric infections, respiratory infections and tuberculosis, and maternal and neonatal disorders between 1990 and 2017; these were generally greater in magnitude at the lowest levels of the Socio-demographic Index (SDI). At the same time, there were large increases in YLLs from neoplasms and cardiovascular diseases. YLL rates decreased across the five leading Level 2 causes in all SDI quintiles. The leading causes of YLLs in 1990—neonatal disorders, lower respiratory infections, and diarrhoeal diseases—were ranked second, fourth, and fifth, in 2017. Meanwhile, estimated YLLs increased for ischaemic heart disease (ranked first in 2017) and stroke (ranked third), even though YLL rates decreased. Population growth contributed to increased total deaths across the 20 leading Level 2 causes of mortality between 2007 and 2017. Decreases in the cause-specific mortality rate reduced the effect of population growth for all but three causes: substance use disorders, neurological disorders, and skin and subcutaneous diseases. Interpretation: Improvements in global health have been unevenly distributed among populations. Deaths due to injuries, substance use disorders, armed conflict and terrorism, neoplasms, and cardiovascular disease are expanding threats to global health. For causes of death such as lower respiratory and enteric infections, more rapid progress occurred for children than for the oldest adults, and there is continuing disparity in mortality rates by sex across age groups. Reductions in the death rate of some common diseases are themselves slowing or have ceased, primarily for NCDs, and the death rate for selected causes has increased in the past decade. Funding: Bill & Melinda Gates Foundation. © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
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    Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2016: A systematic analysis for the Global Burden of Disease Study 2016
    (2017)
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    Xu, Gelin (57203583113)
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    Yadgir, Simon (57192837280)
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    Yakob, Bereket (57203811497)
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    Yan, Lijing L. (57198311895)
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    Yaseri, Mehdi (23029507000)
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    Yimam, Hassen Hamid (57196325590)
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    Yip, Paul (7102503720)
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    Yoon, Seok-Jun (24823148900)
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    Yotebieng, Marcel (26325950800)
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    Younis, Mustafa Z. (8549393000)
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    Zaidi, Zoubida (57197376721)
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    El Sayed Zaki, Maysaa (57203666922)
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    Zavala-Arciniega, Luis (57196083471)
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    Zhang, Xueying (56283378700)
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    Zimsen, Stephanie Raman M. (57196078433)
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    Zipkin, Ben (57200737130)
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    Zodpey, Sanjay (7003415080)
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    Lim, Stephen S. (57201800433)
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    Murray, Christopher J.L. (55481130700)
    Background: The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and attributable burden of disease. By providing estimates over a long time series, this study can monitor risk exposure trends critical to health surveillance and inform policy debates on the importance of addressing risks in context. Methods: We used the comparative risk assessment framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2016. This study included 481 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk (RR) and exposure estimates from 22 717 randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources, according to the GBD 2016 source counting methods. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. Finally, we explored four drivers of trends in attributable burden: population growth, population ageing, trends in risk exposure, and all other factors combined. Findings: Since 1990, exposure increased significantly for 30 risks, did not change significantly for four risks, and decreased significantly for 31 risks. Among risks that are leading causes of burden of disease, child growth failure and household air pollution showed the most significant declines, while metabolic risks, such as body-mass index and high fasting plasma glucose, showed significant increases. In 2016, at Level 3 of the hierarchy, the three leading risk factors in terms of attributable DALYs at the global level for men were smoking (124.1 million DALYs [95% UI 111.2 million to 137.0 million]), high systolic blood pressure (122.2 million DALYs [110.3 million to 133.3 million], and low birthweight and short gestation (83.0 million DALYs [78.3 million to 87.7 million]), and for women, were high systolic blood pressure (89.9 million DALYs [80.9 million to 98.2 million]), high body-mass index (64.8 million DALYs [44.4 million to 87.6 million]), and high fasting plasma glucose (63.8 million DALYs [53.2 million to 76.3 million]). In 2016 in 113 countries, the leading risk factor in terms of attributable DALYs was a metabolic risk factor. Smoking remained among the leading five risk factors for DALYs for 109 countries, while low birthweight and short gestation was the leading risk factor for DALYs in 38 countries, particularly in sub-Saharan Africa and South Asia. In terms of important drivers of change in trends of burden attributable to risk factors, between 2006 and 2016 exposure to risks explains an 9.3% (6.9-11.6) decline in deaths and a 10.8% (8.3-13.1) decrease in DALYs at the global level, while population ageing accounts for 14.9% (12.7-17.5) of deaths and 6.2% (3.9-8.7) of DALYs, and population growth for 12.4% (10.1-14.9) of deaths and 12.4% (10.1-14.9) of DALYs. The largest contribution of trends in risk exposure to disease burden is seen between ages 1 year and 4 years, where a decline of 27.3% (24.9-29.7) of the change in DALYs between 2006 and 2016 can be attributed to declines in exposure to risks. Interpretation: Increasingly detailed understanding of the trends in risk exposure and the RRs for each risk-outcome pair provide insights into both the magnitude of health loss attributable to risks and how modification of risk exposure has contributed to health trends. Metabolic risks warrant particular policy attention, due to their large contribution to global disease burden, increasing trends, and variable patterns across countries at the same level of development. GBD 2016 findings show that, while it has huge potential to improve health, risk modification has played a relatively small part in the past decade. © The Author(s). Published by Elsevier Ltd.
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    Publication
    Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2016: A systematic analysis for the Global Burden of Disease Study 2016
    (2017)
    Hay, Simon I. (7101875313)
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    Abajobir, Amanuel Alemu (57203613441)
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    Abate, Kalkidan Hassen (57207943858)
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    Abdulle, Abdishakur M. (6603592018)
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    Murray, Christopher J. L. (55481130700)
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    Adedji, I.A. (57207919805)
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    Murdoch, M.E. (57202097865)
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    Bryane, C.E.G. (57207920084)
    Background: Measurement of changes in health across locations is useful to compare and contrast changing epidemiological patterns against health system performance and identify specific needs for resource allocation in research, policy development, and programme decision making. Using the Global Burden of Diseases, Injuries, and Risk Factors Study 2016, we drew from two widely used summary measures to monitor such changes in population health: disability-adjusted life-years (DALYs) and healthy life expectancy (HALE). We used these measures to track trends and benchmark progress compared with expected trends on the basis of the Socio-demographic Index (SDI). Methods: We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 for all-cause mortality, cause-specific mortality, and non-fatal disease burden to derive HALE and DALYs by sex for 195 countries and territories from 1990 to 2016. We calculated DALYs by summing years of life lost and years of life lived with disability for each location, age group, sex, and year. We estimated HALE using age-specific death rates and years of life lived with disability per capita. We explored how DALYs and HALE difered from expected trends when compared with the SDI: the geometric mean of income per person, educational attainment in the population older than age 15 years, and total fertility rate. Findings: The highest globally observed HALE at birth for both women and men was in Singapore, at 75·2 years (95% uncertainty interval 71·9-78·6) for females and 72·0 years (68·8-75·1) for males. The lowest for females was in the Central African Republic (45·6 years [42·0-49·5]) and for males was in Lesotho (41·5 years [39·0-44·0]). From 1990 to 2016, global HALE increased by an average of 6·24 years (5·97-6·48) for both sexes combined. Global HALE increased by 6·04 years (5·74-6·27) for males and 6·49 years (6·08-6·77) for females, whereas HALE at age 65 years increased by 1·78 years (1·61-1·93) for males and 1·96 years (1·69-2·13) for females. Total global DALYs remained largely unchanged from 1990 to 2016 (-2·3% [-5·9 to 0·9]), with decreases in communicable, maternal, neonatal, and nutritional (CMNN) disease DALYs ofset by increased DALYs due to non-communicable diseases (NCDs). The exemplars, calculated as the fve lowest ratios of observed to expected age-standardised DALY rates in 2016, were Nicaragua, Costa Rica, the Maldives, Peru, and Israel. The leading three causes of DALYs globally were ischaemic heart disease, cerebrovascular disease, and lower respiratory infections, comprising 16·1% of all DALYs. Total DALYs and age-standardised DALY rates due to most CMNN causes decreased from 1990 to 2016. Conversely, the total DALY burden rose for most NCDs; however, age-standardised DALY rates due to NCDs declined globally. Interpretation: At a global level, DALYs and HALE continue to show improvements. At the same time, we observe that many populations are facing growing functional health loss. Rising SDI was associated with increases in cumulative years of life lived with disability and decreases in CMNN DALYs ofset by increased NCD DALYs. Relative compression of morbidity highlights the importance of continued health interventions, which has changed in most locations in pace with the gross domestic product per person, education, and family planning. The analysis of DALYs and HALE and their relationship to SDI represents a robust framework with which to benchmark location-specific health performance. Country-specific drivers of disease burden, particularly for causes with higher-than-expected DALYs, should inform health policies, health system improvement initiatives, targeted prevention eforts, and development assistance for health, including fnancial and research investments for all countries, regardless of their level of sociodemographic development. The presence of countries that substantially outperform others suggests the need for increased scrutiny for proven examples of best practices, which can help to extend gains, whereas the presence of underperforming countries suggests the need for devotion of extra attention to health systems that need more robust support. © The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
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    Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990-2016: A systematic analysis for the Global Burden of Disease Study 2016
    (2017)
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    Santric Milicevic, Milena M. (57211144346)
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    Sartorius, Benn (12788526800)
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    Satpathy, Maheswar (57202563691)
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    Sawhney, Monika (57217153893)
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    Saxena, Sonia (57203151746)
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    Schmidt, Maria Inês (7404398885)
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    Schneider, Ione J.C. (57201292772)
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    Schöttker, Ben (37665918200)
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    Schwebel, David C. (6603681532)
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    Schwendicke, Falk (55639536600)
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    Seedat, Soraya (7003445887)
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    Sepanlou, Sadaf G. (36248136000)
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    Servan-Mori, Edson E. (57202594826)
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    Setegn, Tesfaye (37075667700)
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    Shackelford, Katya Anne (57202959163)
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    Shaheen, Amira (57202560956)
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    Shaikh, Masood Ali (57203122601)
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    Shamsipour, Mansour (57197846052)
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    Shariful Islam, Sheikh Mohammed (56400111100)
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    Sharma, Jayendra (57195329457)
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    Sharma, Rajesh (58228412600)
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    She, Jun (57209122131)
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    Shi, Peilin (57203064901)
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    Shields, Chloe (57196083232)
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    Shigematsu, Mika (23968093000)
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    Shinohara, Yukito (57203303862)
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    Shiri, Rahman (57200737050)
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    Shirkoohi, Reza (12776374400)
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    Shirude, Shreya (57216599051)
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    Shishani, Kawkab (14025005500)
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    Shrime, Mark G. (57204703404)
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    Sibai, Abla Mehio (7005466998)
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    Sigfusdottir, Inga Dora (57195363778)
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    Silva, Diego Augusto Santos (36985158000)
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    Silva, João Pedro (7403023631)
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    Silveira, Dayane Gabriele Alves (57190284103)
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    Singh, Jasvinder A. (7404421736)
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    Singh, Narinder Pal (57211864736)
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    Sinha, Dhirendra Narain (7201637609)
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    Skiadaresi, Eirini (37100428500)
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    Skirbekk, Vegard (57202564482)
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    Slepak, Erica Leigh (57205356367)
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    Sligar, Amber (57190284582)
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    Smith, David L. (55574206203)
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    Smith, Mari (57195484737)
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    Sobaih, Badr H.A. (57202564080)
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    Sobngwi, Eugene (6701427993)
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    Sorensen, Reed J.D. (57196918748)
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    Sousa, Tatiane Cristina Moraes (57195329460)
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    Sposato, Luciano A. (25640261000)
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    Sreeramareddy, Chandrashekhar T. (57212263335)
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    Srinivasan, Vinay (57196077031)
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    Stanaway, Jeffrey D. (57201210928)
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    Stathopoulou, Vasiliki (57195644148)
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    Steel, Nicholas (6603791873)
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    Stein, Dan J. (55769747595)
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    Stein, Murray B. (7402996817)
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    Steiner, Caitlyn (57205358084)
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    Steiner, Timothy J. (16837503200)
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    Steinke, Sabine (57203777687)
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    Stokes, Mark Andrew (7102859000)
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    Stovner, Lars Jacob (57201788390)
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    Strub, Bryan (57211781720)
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    Subart, Michelle (57194140438)
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    Sufiyan, Muawiyyah Babale (58294633600)
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    Suliankatchi Abdulkader, Rizwan (57195295816)
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    Sunguya, Bruno F. (57209060557)
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    Sur, Patrick J. (57218360398)
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    Swaminathan, Soumya (7102380757)
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    Sykes, Bryan L. (57211183396)
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    Sylte, Dillon O. (57211183601)
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    Tabarés-Seisdedos, Rafael (6602981102)
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    Taffere, Getachew Redae (59807215200)
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    Takala, Jukka S. (35425471300)
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    Tandon, Nikhil (7101833756)
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    Tavakkoli, Mohammad (57202524239)
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    Taveira, Nuno (6602731390)
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    Taylor, Hugh R. (55550572900)
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    Tehrani-Banihashemi, Arash (57204006020)
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    Tekelab, Tesfalidet (56721378300)
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    Temam Shifa, Girma (57217000284)
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    Thomas, Katie E. (56239717800)
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    Tyrovolas, Stefanos (57207793475)
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    Uneke, Chigozie Jesse (57202824589)
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    Updike, Rachel (57204698680)
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    Uthman, Olalekan A. (23026328100)
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    Uzochukwu, Benjamin S. Chudi (57211633289)
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    Van Boven, Job F.M. (53464198500)
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    Varughese, Santosh (22942817500)
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    Vasankari, Tommi (23096834700)
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    Venkatesh, S. (57201538443)
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    Venketasubramanian, Narayanaswamy (56804702100)
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    Vidavalur, Ramesh (57201445172)
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    Violante, Francesco S. (7003555890)
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    Vladimirov, Sergey K. (57195959162)
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    Wang, Yuan-Pang (8576812100)
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    Weaver, Marcia (7201548872)
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    Westerman, Ronny (57218361023)
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    Whiteford, Harvey A. (55906494000)
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    Wiysonge, Charles Shey (6507441509)
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    Wolfe, Charles D.A. (57202754705)
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    Woodbrook, Rachel (57200298006)
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    Woolf, Anthony D. (7102882171)
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    Workicho, Abdulhalik (56720337100)
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    Wulf Hanson, Sarah (57212263269)
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    Xavier, Denis (55403963100)
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    Xu, Gelin (57203583113)
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    Yadgir, Simon (57192837280)
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    Yaghoubi, Mohsen (56402926900)
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    Yakob, Bereket (57203811497)
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    Yan, Lijing L. (35933756700)
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    Yano, Yuichiro (57196965200)
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    Ye, Pengpeng (57202839295)
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    Yimam, Hassen Hamid (57196325590)
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    Yip, Paul (7102503720)
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    Yonemoto, Naohiro (57204947657)
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    Yoon, Seok-Jun (24823148900)
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    Yotebieng, Marcel (26325950800)
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    Younis, Mustafa Z. (8549393000)
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    Zaidi, Zoubida (57197376721)
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    Zaki, Maysaa El Sayed (57203666922)
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    Zegeye, Elias Asfaw (57209171278)
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    Zenebe, Zerihun Menlkalew (57200737185)
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    Zhang, Xueying (56283378700)
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    Zhou, Maigeng (57054557200)
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    Zipkin, Ben (57200737130)
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    Zodpey, Sanjay (7003415080)
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    Zuhlke, Liesl Joanna (57209027746)
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    Murray, Christopher J.L. (55481130700)
    Background As mortality rates decline, life expectancy increases, and populations age, non-fatal outcomes of diseases and injuries are becoming a larger component of the global burden of disease. The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016. Methods We estimated prevalence and incidence for 328 diseases and injuries and 2982 sequelae, their non-fatal consequences. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between incidence, prevalence, remission, and cause of death rates for each condition. For some causes, we used alternative modelling strategies if incidence or prevalence needed to be derived from other data. YLDs were estimated as the product of prevalence and a disability weight for all mutually exclusive sequelae, corrected for comorbidity and aggregated to cause level. We updated the Socio-demographic Index (SDI), a summary indicator of income per capita, years of schooling, and total fertility rate. GBD 2016 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER). Findings Globally, low back pain, migraine, age-related and other hearing loss, iron-deficiency anaemia, and major depressive disorder were the five leading causes of YLDs in 2016, contributing 57·6 million (95% uncertainty interval [UI] 40·8-75·9 million [7·2%, 6·0-8·3]), 45·1 million (29·0-62·8 million [5·6%, 4·0-7·2]), 36·3 million (25·3-50·9 million [4·5%, 3·8-5·3]), 34·7 million (23·0-49·6 million [4·3%, 3·5-5·2]), and 34·1 million (23·5-46·0 million [4·2%, 3·2-5·3]) of total YLDs, respectively. Age-standardised rates of YLDs for all causes combined decreased between 1990 and 2016 by 2·7% (95% UI 2·3-3·1). Despite mostly stagnant age-standardised rates, the absolute number of YLDs from non-communicable diseases has been growing rapidly across all SDI quintiles, partly because of population growth, but also the ageing of populations. The largest absolute increases in total numbers of YLDs globally were between the ages of 40 and 69 years. Age-standardised YLD rates for all conditions combined were 10·4% (95% UI 9·0-11·8) higher in women than in men. Iron-deficiency anaemia, migraine, Alzheimer's disease and other dementias, major depressive disorder, anxiety, and all musculoskeletal disorders apart from gout were the main conditions contributing to higher YLD rates in women. Men had higher age-standardised rates of substance use disorders, diabetes, cardiovascular diseases, cancers, and all injuries apart from sexual violence. Globally, we noted much less geographical variation in disability than has been documented for premature mortality. In 2016, there was a less than two times difference in age-standardised YLD rates for all causes between the location with the lowest rate (China, 9201 YLDs per 100 000, 95% UI 6862-11943) and highest rate (Yemen, 14 774 YLDs per 100 000, 11 018-19 228). Interpretation The decrease in death rates since 1990 for most causes has not been matched by a similar decline in age-standardised YLD rates. For many large causes, YLD rates have either been stagnant or have increased for some causes, such as diabetes. As populations are ageing, and the prevalence of disabling disease generally increases steeply with age, health systems will face increasing demand for services that are generally costlier than the interventions that have led to declines in mortality in childhood or for the major causes of mortality in adults. Up-todate information about the trends of disease and how this varies between countries is essential to plan for an adequate health-system response. © The Author(s). Published by Elsevier Ltd.
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    Global, regional, and national under-5 mortality, adult mortality, age-specific mortality, and life expectancy, 1970-2016: A systematic analysis for the Global Burden of Disease Study 2016
    (2017)
    Wang, Haidong (16507828100)
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    Abajobir, Amanuel Alemu (57203613441)
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    Abate, Kalkidan Hassen (57207943858)
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    Abbafati, Cristiana (54917122400)
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    Bell, Michelle L. (7401466450)
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    Campos-Nonato, Ismael Ricardo (57203424784)
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    Car, Josip (6701783618)
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    Castañeda-Orjuela, Carlos A. (35769124700)
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    Castro, Franz F. (57204567353)
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    Catalá-López, Ferrán (57202553733)
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    Chen, Honglei (35331605500)
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    Chiang, Peggy Pei-Chia (59846886500)
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    Chisumpa, Vesper Hichilombwe (56761895800)
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    Chitheer, Abdulaal A. (57209314488)
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    Christensen, Hanne (57202099623)
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    Christopher, Devasahayam Jesudas (57209863533)
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    Ciobanu, Liliana G. (57201603453)
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    Cirillo, Massimo (35247478400)
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    Cohen, Aaron J. (7404780942)
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    Coresh, Josef (7005367498)
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    Cromwell, Elizabeth A. (15727546000)
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    Crump, John A. (57202595111)
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    Dandona, Lalit (7007017243)
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    Dargan, Paul I. (57212154356)
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    Ram, Usha (26653819000)
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    Rana, Saleem M. (57204884092)
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    Rego, Maria Albertina Santiago (35099389600)
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    Islam, Sheikh Mohammed Shariful (56400111100)
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    El Sayed Zaki, Maysaa (57203666922)
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    Zenebe, Zerihun Menlkalew (57200737185)
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    Zhang, Anthony Lin (56391112900)
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    Zhang, Xueying (56283378700)
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    Zodpey, Sanjay (7003415080)
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    Zuhlke, Liesl Joanna (57209027746)
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    Lopez, Alan D. (7401455668)
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    Murray, Christopher J.L. (55481130700)
    Background: Detailed assessments of mortality patterns, particularly age-specific mortality, represent a crucial input that enables health systems to target interventions to specific populations. Understanding how all-cause mortality has changed with respect to development status can identify exemplars for best practice. To accomplish this, the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) estimated age-specific and sex-specific all-cause mortality between 1970 and 2016 for 195 countries and territories and at the subnational level for the five countries with a population greater than 200 million in 2016. Methods: We have evaluated how well civil registration systems captured deaths using a set of demographic methods called death distribution methods for adults and from consideration of survey and census data for children younger than 5 years. We generated an overall assessment of completeness of registration of deaths by dividing registered deaths in each location-year by our estimate of all-age deaths generated from our overall estimation process. For 163 locations, including subnational units in countries with a population greater than 200 million with complete vital registration (VR) systems, our estimates were largely driven by the observed data, with corrections for small fluctuations in numbers and estimation for recent years where there were lags in data reporting (lags were variable by location, generally between 1 year and 6 years). For other locations, we took advantage of different data sources available to measure under-5 mortality rates (U5MR) using complete birth histories, summary birth histories, and incomplete VR with adjustments; we measured adult mortality rate (the probability of death in individuals aged 15-60 years) using adjusted incomplete VR, sibling histories, and household death recall. We used the U5MR and adult mortality rate, together with crude death rate due to HIV in the GBD model life table system, to estimate age-specific and sex-specific death rates for each location-year. Using various international databases, we identified fatal discontinuities, which we defined as increases in the death rate of more than one death per million, resulting from conflict and terrorism, natural disasters, major transport or technological accidents, and a subset of epidemic infectious diseases; these were added to estimates in the relevant years. In 47 countries with an identified peak adult prevalence for HIV/AIDS of more than 0.5% and where VR systems were less than 65% complete, we informed our estimates of age-sex-specific mortality using the Estimation and Projection Package (EPP)-Spectrum model fitted to national HIV/AIDS prevalence surveys and antenatal clinic serosurveillance systems. We estimated stillbirths, early neonatal, late neonatal, and childhood mortality using both survey and VR data in spatiotemporal Gaussian process regression models. We estimated abridged life tables for all location-years using age-specific death rates. We grouped locations into development quintiles based on the Socio-demographic Index (SDI) and analysed mortality trends by quintile. Using spline regression, we estimated the expected mortality rate for each age-sex group as a function of SDI. We identified countries with higher life expectancy than expected by comparing observed life expectancy to anticipated life expectancy on the basis of development status alone. Findings: Completeness in the registration of deaths increased from 28% in 1970 to a peak of 45% in 2013; completeness was lower after 2013 because of lags in reporting. Total deaths in children younger than 5 years decreased from 1970 to 2016, and slower decreases occurred at ages 5-24 years. By contrast, numbers of adult deaths increased in each 5-year age bracket above the age of 25 years. The distribution of annualised rates of change in age-specific mortality rate differed over the period 2000 to 2016 compared with earlier decades: increasing annualised rates of change were less frequent, although rising annualised rates of change still occurred in some locations, particularly for adolescent and younger adult age groups. Rates of stillbirths and under-5 mortality both decreased globally from 1970. Evidence for global convergence of death rates was mixed; although the absolute difference between age-standardised death rates narrowed between countries at the lowest and highest levels of SDI, the ratio of these death rates - a measure of relative inequality - increased slightly. There was a strong shift between 1970 and 2016 toward higher life expectancy, most noticeably at higher levels of SDI. Among countries with populations greater than 1 million in 2016, life expectancy at birth was highest for women in Japan, at 86.9 years (95% UI 86.7-87.2), and for men in Singapore, at 81.3 years (78.8-83.7) in 2016. Male life expectancy was generally lower than female life expectancy between 1970 and 2016, and the gap between male and female life expectancy increased with progression to higher levels of SDI. Some countries with exceptional health performance in 1990 in terms of the difference in observed to expected life expectancy at birth had slower progress on the same measure in 2016. Interpretation Globally, mortality rates have decreased across all age groups over the past five decades, with the largest improvements occurring among children younger than 5 years. However, at the national level, considerable heterogeneity remains in terms of both level and rate of changes in age-specific mortality; increases in mortality for certain age groups occurred in some locations. We found evidence that the absolute gap between countries in age-specific death rates has declined, although the relative gap for some age-sex groups increased. Countries that now lead in terms of having higher observed life expectancy than that expected on the basis of development alone, or locations that have either increased this advantage or rapidly decreased the deficit from expected levels, could provide insight into the means to accelerate progress in nations where progress has stalled. Copyright © The Author(s).
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    Idiopathic premature ventricular complexes treatment: Comparison of flecainide, propafenone, and sotalol
    (2023)
    Kojić, Dejan (57211564921)
    ;
    Radunović, Anja (58188995200)
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    Bukumirić, Zoran (36600111200)
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    Rajsic, Sasa (57196448260)
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    Sušić, Maša (58521465200)
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    Marić, Marija (58521851200)
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    Žugić, Vasko (57640909700)
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    Jurčević, Ružica (6508010057)
    ;
    Tomović, Milosav (35491861700)
    Background: Beta-blockers (BB) or dihydropyridine calcium channel blockers (CCBs) are still the first choices in the treatment of idiopathic premature ventricular complexes (PVCs), with low-modest efficacy. Antiarrhythmic drugs (AADs) of Ic class are moderate to highly efficient but the evidence on their benefits is still limited. Aim: To compare effectiveness and safety of flecainide, propafenone, and sotalol in the treatment of symptomatic idiopathic PVCs. Methods: Our single-center retrospective study analyzed 104 consecutive patients with 130 medication episodes of frequent idiopathic PVCs treated with AADs flecainide, propafenone (Ic class) or sotalol (III class). The primary outcome was complete/near complete reduction of PVCs after medication episode (PVCs burden reduction >99%), and the secondary outcome was significant PVC burden reduction (≥80%). Results: The complete/near complete PVCs burden reduction occurred in 31% and was significant in 43% of treated patients. A reduction of PVC burden for >99% was achieved in 56% of patients on flecainide, in 11% of patients on propafenone (p =.002), and in 21% of patients receiving sotalol (p =.031). There was no difference between propafenone and sotalol (p =.174). A reduction of PVC burden for ≥80% was achieved in 64% of patients on flecainide, in 30% of patients on propafenone (p =.009), and 33% of patients on sotalol (p =.020). There was no difference between propafenone and sotalol (p =.661). Conclusions: The efficacy of AADs class Ic and III in the treatment of idiopathic PVCs was modest. Flecainide was the most effective AAD in the achievement of complete/near complete or significant PVC burden reduction, compared to propafenone and sotalol. © 2023 The Authors. Clinical Cardiology published by Wiley Periodicals LLC.
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