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Updated: Jan 22, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
A prognostic nomogram constructed for relapsed or refractory diffuse large B-cell lymphoma patients.
Shiyu Jiang1, Yan Qin1, Peng Liu1
1Department of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
A new nomogram identifies five key factors to predict survival in patients with relapsed or refractory diffuse large B-cell lymphoma (DLBCL), aiding clinical treatment decisions.
Area of Science:
- Hematology
- Oncology
- Clinical Research
Background:
- Diffuse large B-cell lymphoma (DLBCL) exhibits variable clinical courses.
- There is a need for improved prognostic markers and models for relapsed or refractory (r/r) DLBCL.
Purpose of the Study:
- To identify independent prognostic factors for survival in r/r DLBCL patients.
- To develop a predictive model for r/r DLBCL patient outcomes.
Main Methods:
- Retrospective analysis of 416 r/r DLBCL patients treated with first-line anthracycline-based chemotherapy.
- Univariate and multivariate analyses to evaluate preclinical and clinical indicators.
- Development and validation of a prognostic nomogram.
Main Results:
- Five independent prognostic factors identified: lactate dehydrogenase level, response to front-line treatment, progression/recurrence pattern, location, and invasion.
- The nomogram demonstrated good prognostic power with a C-index of 0.76 and AUC values of 0.81 (primary) and 0.80 (validation).
- Patients were stratified into four risk groups based on the nomogram.
Conclusions:
- A novel prognostic nomogram incorporating five clinical indicators has been developed for r/r DLBCL.
- This nomogram has potential clinical utility in guiding treatment decisions for r/r DLBCL patients.
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