ArticleThe oncologist2025
Epidemiology characteristics and clinical outcomes of composite Hodgkin lymphoma and diffuse large B-cell lymphoma using machine learning.
Article in The oncologist, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial Intelligence for Risk Stratification in Diffuse Large B-Cell Lymphoma: A Systematic Review of Classification Models and Predictive Performances.Medical sciences (Basel, Switzerland) · 2025Pooled it
- Predicting survival of Hodgkin lymphoma using machine learning-an analysis based on the SEER database.Annals of hematology · 2026Article
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Authors and funding
6 authors.
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Abstract
Composite lymphoma (CL) is rare. We conducted an analysis of 53 329 cases of diffuse large B-cell lymphoma (DLBCL), 17,916 cases of Hodgkin lymphoma (HL), and 869 cases of composite HL and DLBCL from the SEER database diagnosed between 2000 and 2019. Incidence rates showed increasing trends with age for CL and DLBCL, while HL exhibited 2 peak incidence rates: 42.05 (95% CI: 40.88-43.25) per million for the age group 20-24 and 43.20 (95% CI: 41.13-45.35) per million for 75-79. Higher incidence rates were observed in males (CL, 0.68, 95% CI: 0.62-0.74; HL, 29.65, 95% CI: 29.27-30.03; DLBCL, 86.18, 95% CI: 85.51-86.86) compared to females (CL, 0.40, 95% CI: 0.36-0.45; HL, 23.15, 95% CI: 22.83-23.49; DLBCL, 57.56, 95% CI: 57.06-58.06; P < .001). We first identified independent prognostic factors for composite HL and DLBCL, which were used for development of a scoring nomogram. Factors such as primary tumor site, marital status, chemotherapy, and sex predominantly influence short-term survival, while Ann Arbor stage plays a significant role in long-term survival. Furthermore, there were notable differences in demographic characteristics, survival outcomes, and death cause among CL, HL, and DLBCL. This study provides the first comprehensive report of composite HL and DLBCL.
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