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Browsing by Author "Roost Clausen, Michael (58039350000)"

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    Publication
    Prognostic indices in diffuse large B-cell lymphoma: a population-based comparison and validation study of multiple models
    (2023)
    Jelicic, Jelena (56180044800)
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    Juul-Jensen, Karen (57218352166)
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    Bukumiric, Zoran (36600111200)
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    Roost Clausen, Michael (58039350000)
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    Ludvigsen Al-Mashhadi, Ahmed (57189056494)
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    Pedersen, Robert Schou (57200904293)
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    Poulsen, Christian Bjørn (8773152900)
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    Brown, Peter (56437846200)
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    El-Galaly, Tarec Christoffer (22634515900)
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    Stauffer Larsen, Thomas (35405235400)
    Currently, the International Prognostic Index (IPI) is the most used and reported model for prognostication in patients with newly diagnosed diffuse large B-cell lymphoma (DLBCL). IPI-like variations have been proposed, but only a few have been validated in different populations (e.g., revised IPI (R-IPI), National Comprehensive Cancer Network IPI (NCCN-IPI)). We aimed to validate and compare different IPI-like variations to identify the model with the highest predictive accuracy for survival in newly diagnosed DLBCL patients. We included 5126 DLBCL patients treated with immunochemotherapy with available data required by 13 different prognostic models. All models could predict survival, but NCCN-IPI consistently provided high levels of accuracy. Moreover, we found similar 5-year overall survivals in the high-risk group (33.4%) compared to the original validation study of NCCN-IPI. Additionally, only one model incorporating albumin performed similarly well but did not outperform NCCN-IPI regarding discrimination (c-index 0.693). Poor fit, discrimination, and calibration were observed in models with only three risk groups and without age as a risk factor. In this extensive retrospective registry-based study comparing 13 prognostic models, we suggest that NCCN-IPI should be reported as the reference model along with IPI in newly diagnosed DLBCL patients until more accurate validated prognostic models for DLBCL become available. [Figure not available: see fulltext.] © 2023, Springer Nature Limited.
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    Validation of prognostic models in elderly patients with diffuse large B-cell lymphoma in a real-world nationwide population-based study – development of a clinical nomogram
    (2025)
    Jelicic, Jelena (56180044800)
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    Juul-Jensen, Karen (57218352166)
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    Bukumiric, Zoran (36600111200)
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    Runason Simonsen, Mikkel (59177988400)
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    Kragh Jørgensen, Rasmus Rask (58838186100)
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    Roost Clausen, Michael (58039350000)
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    Ludvigsen Al-Mashhadi, Ahmed (57189056494)
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    Schou Pedersen, Robert (59178141900)
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    Bjørn Poulsen, Christian (59177988500)
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    Ortved Gang, Anne (58039201900)
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    Brown, Peter (56437846200)
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    El-Galaly, Tarec Christoffer (22634515900)
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    Stauffer Larsen, Thomas (35405235400)
    The International Prognostic Index (IPI) is the most frequently used tool for prognostication in patients with newly diagnosed diffuse large B-cell lymphoma (DLBCL) of all ages. This study validated and compared six models developed for patients above 60 with International Prognostic Indices (IPI, R-IPI, NCCN-IPI). Moreover, we created a clinical nomogram with an online tool for individualized predictions. A total of 2,835 patients aged over 60 with newly diagnosed DLBCL treated with potentially curative immunochemotherapy were identified in the Danish Lymphoma Registry. A nomogram was developed by combining NCCN-IPI variables (excluding extranodal localization), albumin, and platelet levels in 1,970 patients and verified the results in the remaining 956 patients. Compared to other models, the elderly IPI (E-IPI) and age-adjusted IPI (aaIPI) showed better accuracy and discriminatory ability. However, the models failed to identify a high-risk group with a 3-year overall survival rate below 40%. Our nomogram-based model demonstrated superior discriminatory ability and provided more precise individual predictions than all other models based on a risk stratification system. Most clinical prognostic models fail to accurately predict patient outcomes in patients over 60 years old. Therefore, nomogram-based models should be considered in this population to prevent information loss due to variable dichotomization. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

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