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Prognostic indices in diffuse large B-cell lymphoma: a population-based comparison and validation study of multiple models
- 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.
- Subjects :
- Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Subjects
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