ArticleAnnals of hematology2025
Epidemiology and survival of patients with primary lymphoma of bone: a large retrospective cohort study.
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 1 paper.
What it found
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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
1 citing paper in PubMed.
- Epidemiology of acute myeloid leukemia in children and adolescents (1990-2021): a global burden of disease study.Die Naturwissenschaften · 2025Article
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Authors and funding
8 authors.
Funding
Abstract
Primary lymphoma of bone (PLB) is a rare extranodal lymphoma, and its epidemiology and prognosis remain controversial. We conducted a retrospective analysis of 1,222 patients with PLB in the Surveillance, Epidemiology, and End Results (SEER) database to investigate its epidemiology and prognostic factors. The incidence of PLB peaked in 1992 with an average annual percent change of 1.72 after a significant rise from 1975 to 1992, followed by a general decline. The risk of death from PLB involves both patient and treatment factors. Survival analysis revealed that age, stage, laterality, chemotherapy, and primary site significantly influence both overall survival and disease-specific survival. We integrated and compared 99 machine learning algorithms, and identified the Random Survival Forest (RSF) model as the most effective for predicting PLB outcomes. Patients were stratified into low- and high-risk groups according to the RSF model score. The incidence of PLB began to decrease after 1992, with variations by age, race, and gender. The factors influencing the prognosis of PLB are multifaceted. And the RSF model showed promising performance, aiding clinicians in early prognosis identification and improving clinical outcomes through revised management strategies and patient care.
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Registered trials
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