ArticleAnnals of hematology2025
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.
Article in Annals of hematology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Older patients with lymphoma: navigating a landscape of clinical controversies and barriers to innovation.Haematologica · 2026Review
- Predicting Primary Refractory Diffuse Large B-Cell Lymphoma: A Comparison of Machine Learning Models with the IPI Score.Journal of clinical medicine · 2026Article
- Occupational skin health risk among nurses: development and validation of a nomogram-based prediction model.Frontiers in public health · 2026Article
- Tumor Microenvironment, Inflammation, and Inflammatory Prognostic Indices in Diffuse Large B-Cell Lymphomas: A Narrative Review.International journal of molecular sciences · 2025Review
- Gut microbiota is associated with the disease characteristics of patients with newly diagnosed diffuse large B-cell lymphoma.American journal of cancer research · 2025Article
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Authors and funding
13 authors.
Funding
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Abstract
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.
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