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Prognostic indices in diffuse large B-cell lymphoma: a population-based comparison and validation study of multiple models

Authors :
Jelena Jelicic
Karen Juul-Jensen
Zoran Bukumiric
Michael Roost Clausen
Ahmed Ludvigsen Al-Mashhadi
Robert Schou Pedersen
Christian Bjørn Poulsen
Peter Brown
Tarec Christoffer El-Galaly
Thomas Stauffer Larsen
Source :
Blood Cancer Journal, Vol 13, Iss 1, Pp 1-12 (2023)
Publication Year :
2023
Publisher :
Nature Publishing Group, 2023.

Abstract

Abstract 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.

Details

Language :
English
ISSN :
20445385
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Blood Cancer Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.8b627bc21d06479eb96599fd9fb6c239
Document Type :
article
Full Text :
https://doi.org/10.1038/s41408-023-00930-7