Browsing by Author "Larsen, Thomas Stauffer (35405235400)"

The International Prognostic Index (IPI) has been used for risk stratification for a long time in diffuse large B cell lymphoma (DLBCL). Based on new clinical and biological prognostic markers, many new prognostic models have been described. This review aims to present the progress in development and validation of these prognostic models. A comprehensive literature review was performed to identify studies that proposed a new prognostic model in DLBCL. A total of 38 studies met the inclusion criteria. The IPI, revised IPI (R-IPI), and National Comprehensive Cancer Network (NCCN)-IPI were the most studied prognostic indexes, externally validated and commonly used to compare to other models. Despite an increasing number of prognostic models have been proposed lately, most of them lack external validation. Further studies, that combine biological and clinical markers with prognostic significance, are needed to determine the optimal prognostic tool for more personalized treatment approach to DLBCL patients. © 2018 Elsevier B.V.

Over the years, a rising incidence of liver cirrhosis and lymphoma has been observed. Therefore, the risk of having cirrhosis as a comorbidity increases, thus challenging treatment approaches as data on the management of these patients is lacking. We performed a systematic review to summarize papers that analyzed patients with liver cirrhosis that occurred before and/or concomitantly to lymphoma. We identified 153 papers (230 patients) through Pubmed and/or Embase search. Publications comprised predominantly of case reports and/or case series. Most patients had HCV-related cirrhosis (62.6%), and aggressive lymphoma histology (59.6%). Data on liver status was available in 55.7% of all patients, with 46.1% having decompensated liver cirrhosis. These patients experienced more often treatment reductions and/or modifications, treatment side effects, and inferior survival than those with compensated cirrhosis (median 18 months vs. median not reached). Dose reductions and/or treatment modifications primarily due to concomitant liver disease were common. Moreover, liver toxicity was observed in 33.6% of patients with provided information on treatment side effects, ranging from mild toxicity to liver failure with fatal outcomes. Again, despite treatment modification/reduction, patients with decompensated liver cirrhosis developed hepatic toxicity more frequently than patients with compensated liver disease. Although patients suffering from cirrhosis and lymphoma can tolerate standard chemoimmunotherapy, a cautious multidisciplinary approach is needed to evaluate the risks and benefits. © 2022

Over the years, a rising incidence of liver cirrhosis and lymphoma has been observed. Therefore, the risk of having cirrhosis as a comorbidity increases, thus challenging treatment approaches as data on the management of these patients is lacking. We performed a systematic review to summarize papers that analyzed patients with liver cirrhosis that occurred before and/or concomitantly to lymphoma. We identified 153 papers (230 patients) through Pubmed and/or Embase search. Publications comprised predominantly of case reports and/or case series. Most patients had HCV-related cirrhosis (62.6%), and aggressive lymphoma histology (59.6%). Data on liver status was available in 55.7% of all patients, with 46.1% having decompensated liver cirrhosis. These patients experienced more often treatment reductions and/or modifications, treatment side effects, and inferior survival than those with compensated cirrhosis (median 18 months vs. median not reached). Dose reductions and/or treatment modifications primarily due to concomitant liver disease were common. Moreover, liver toxicity was observed in 33.6% of patients with provided information on treatment side effects, ranging from mild toxicity to liver failure with fatal outcomes. Again, despite treatment modification/reduction, patients with decompensated liver cirrhosis developed hepatic toxicity more frequently than patients with compensated liver disease. Although patients suffering from cirrhosis and lymphoma can tolerate standard chemoimmunotherapy, a cautious multidisciplinary approach is needed to evaluate the risks and benefits. © 2022

Background: Several clinical prognostic models for diffuse large B-cell lymphoma (DLBCL) have been proposed, including the most commonly used International Prognostic Index (IPI), the National Comprehensive Cancer Network IPI (NCCN-IPI), and models incorporating beta-2 microglobulin (β2M). However, the role of β2M in DLBCL patients is not fully understood. Methods: We identified 6075 patients with newly diagnosed DLBCL treated with immunochemotherapy registered in the Danish Lymphoma Registry. Results: A total of 3232 patients had data available to calculate risk scores from each of the nine considered risk models for DLBCL, including a model developed from our population. Three of four models with β2M and NCCN-IPI performed better than the International Prognostic Indexes (IPI, age-adjusted IPI, and revised IPI). Five-year overall survival for high- and low-risk patients were 43.6% and 86.4% for IPI and 34.9% and 96.2% for NCCN-IPI. In univariate analysis, higher levels of β2M were associated with inferior survival, higher tumor burden (advanced clinical stage and bulky disease), previous malignancy and increased age, and creatinine levels. Furthermore, we developed a model (β2M-NCCN-IPI) by adding β2M to NCCN-IPI (c-index 0.708) with improved discriminatory ability compared to NCCN-IPI (c-index 0.698, p < 0.05) and 5-year OS of 33.1%, 56.2%, 82.4%, and 96.4% in the high, high-intermediate, low-intermediate and low-risk group, respectively. Conclusion: International Prognostic Indices, except for NCCN-IPI, fail to accurately discriminate risk groups in the rituximab era. β2M, a readily available marker, could improve the discriminatory performance of NCCN-IPI and should be re-evaluated in the development setting of future models for DLBCL. © 2024 The Author(s). Cancer Medicine published by John Wiley & Sons Ltd.

Background: Several clinical prognostic models for diffuse large B-cell lymphoma (DLBCL) have been proposed, including the most commonly used International Prognostic Index (IPI), the National Comprehensive Cancer Network IPI (NCCN-IPI), and models incorporating beta-2 microglobulin (β2M). However, the role of β2M in DLBCL patients is not fully understood. Methods: We identified 6075 patients with newly diagnosed DLBCL treated with immunochemotherapy registered in the Danish Lymphoma Registry. Results: A total of 3232 patients had data available to calculate risk scores from each of the nine considered risk models for DLBCL, including a model developed from our population. Three of four models with β2M and NCCN-IPI performed better than the International Prognostic Indexes (IPI, age-adjusted IPI, and revised IPI). Five-year overall survival for high- and low-risk patients were 43.6% and 86.4% for IPI and 34.9% and 96.2% for NCCN-IPI. In univariate analysis, higher levels of β2M were associated with inferior survival, higher tumor burden (advanced clinical stage and bulky disease), previous malignancy and increased age, and creatinine levels. Furthermore, we developed a model (β2M-NCCN-IPI) by adding β2M to NCCN-IPI (c-index 0.708) with improved discriminatory ability compared to NCCN-IPI (c-index 0.698, p < 0.05) and 5-year OS of 33.1%, 56.2%, 82.4%, and 96.4% in the high, high-intermediate, low-intermediate and low-risk group, respectively. Conclusion: International Prognostic Indices, except for NCCN-IPI, fail to accurately discriminate risk groups in the rituximab era. β2M, a readily available marker, could improve the discriminatory performance of NCCN-IPI and should be re-evaluated in the development setting of future models for DLBCL. © 2024 The Author(s). Cancer Medicine published by John Wiley & Sons Ltd.

Background and Aim: Based on advances in the diagnosis, classification, and management of diffuse large B-cell lymphoma (DLBCL), a number of new prognostic models have been proposed. The aim of this study was to review and compare different prognostic models of DLBCL based on the statistical methods used to evaluate the performance of each model, as well as to analyze the possible limitations of the methods. Methods and Results: A literature search identified 46 articles that proposed 55 different prognostic models for DLBCL by combining different clinical, laboratory, and other para-meters of prognostic significance. In addition, six studies used nomograms, which avoid risk categorization, to create prognostic models. Only a minority of studies assessed discrimination and/or calibration to compare existing models built upon different statistical methods in the process of development of a new prognostic model. All models based on nomograms reported the c-index as a measure of discrimination. There was no uniform evaluation of the performance in other prognostic models. We compared these models of DLBCL by calculat-ing differences and ratios of 3-year overall survival probabilities between the high-and the low-risk groups. We found that the highest and lowest ratio between low-and high-risk groups was 6 and 1.31, respectively, while the difference between these groups was 18.9% and 100%, respectively. However, these studies had limited duration of follow-up and the number of patients ranged from 71 to 335. Conclusion: There is no universal statistical instrument that could facilitate a comparison of prognostic models in DLBCL. However, when developing a prognostic model, it is recom-mended to report its discrimination and calibration in order to facilitate comparisons between different models. Furthermore, prognostic models based on nomograms are becoming more appealing owing to individualized disease-related risk estimations. However, they have not been validated yet in other study populations. © 2020 Jelicic et al.