ArticleJournal of cancer survivorship : research and practice2025
Risk assessment and predictive modeling of suicide in multiple myeloma patients.
Article in Journal of cancer survivorship : research and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Risk assessment and predictive modeling of suicide in Chronic Lymphocytic Leukemia/Small Lymphocytic Lymphoma (CLL/SLL) Patients.Journal of cancer survivorship : research and practice · 2026Article
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Authors and funding
6 authors.
Funding
Abstract
purposeDespite advancements in treatment that have extended survival, multiple myeloma (MM) remains a distressing diagnosis with significant health impacts, including an elevated risk of suicide. This study aims to investigate suicide risk among MM patients and develop a predictive model to identify high-risk individuals.
methodsWe analyzed 83,333 MM cases from the latest Surveillance, Epidemiology, and End Results (SEER) database (2001-2020) to identify suicide risk predictors and develop prediction nomograms. The cohort was randomly allocated into training and validation groups. Validation included assessing the consistency index (C-index), receiver operating characteristic (ROC) curve, and calibration curve.
resultsAmong the cohort, 89 MM patients died by suicide, reflecting a significantly higher rate compared to the general US population (SMR = 2.186). Key risk factors included household income ≤ $50,000 (SMR = 3.82), male sex (SMR = 3.68), and age ≥ 80 years at diagnosis (SMR = 3.05). Additional predictors were unmarried status, Black race, and diagnosis post-2007. The nomogram incorporating these factors demonstrated strong predictive accuracy in both training and validation groups.
conclusionThis study identified critical suicide risk factors in MM patients and developed a predictive nomogram that aids physicians in the early identification of at-risk individuals, facilitating more effective preventive measures. IMPLICATIONS FOR CANCER SURVIVORS: Utilizing the factors and predictive model for suicide risk among MM survivors allows for earlier identification and intervention, significantly enhancing their quality of life and psychological relief in the context of improved MM survival rates.
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