ArticleFrontiers in oncology2022
Socioeconomic status-based survival disparities and nomogram prediction for patients with multiple myeloma: Results from American and Chinese populations.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- Racial and socioeconomic disparities in patients with Waldenström Macroglobulinemia: a SEER database analysis.Scientific reports · 2026Article
- A mixed-methods approach for understanding cancer center catchment area needs: An example of rural cancer disparities, needs, and resiliencies.Cancer causes & control : CCC · 2026Article
- Differential risk profiles for geriatric depression, anxiety, and sleep disturbances in rural China: insights from the Taierzhuang cohort.Frontiers in public health · 2026Article
- Impact of social determinants of health on treatment patterns and outcomes in multiple myeloma.Future oncology (London, England) · 2025Article
- Treatment patterns and clinical outcomes for multiple myeloma in Korean patients: a database study.BMC cancer · 2025Article
- Income and education affect prognosis and treatment in symptomatic myeloma : A population-based study on 8672 multiple myeloma patients diagnosed 2008-2021 from the Swedish myeloma registry.Annals of hematology · 2025Article
- Selection determines therapeutic effects: a retrospective analysis of the application of different frailty tools in elderly patients with multiple myeloma.Discover oncology · 2024Article
- Partnering With All Patients: Ensuring Shared Decision Making and Evidence-Based Management for Underrepresented Groups With Multiple Myeloma.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2023Article
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6 authors.
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Abstract
Objective: This study aimed to comprehensively investigate the relationship between the survival differences and socioeconomic status (SES) in patients with multiple myeloma (MM) and construct a predictive nomogram to assess clinical outcomes of MM patients. Methods: The Surveillance, Epidemiology, and End Results (SEER) census tract-level SES database provides two specialized attributes: SES index and rurality. Using this database, 37,819 patients diagnosed with MM between January 2007 and December 2016 were enrolled. We evaluated the effects of SES index on overall survival (OS) and myeloma-specific survival (MSS) using Kaplan-Meier curves and Cox regression analyses. Thereafter, we included 126 patients with MM from two independent medical centers in China and divided them into training (Center 1) and validation (Center 2) cohorts. Univariate and multivariate Cox analyses were used in the training cohort to construct a nomogram for predicting clinical outcomes. Nomogram performance was assessed using the area under the curve (AUC) and calibration curves. Results: In the SEER cohort, lower SES was significantly associated with worse OS rates and MSS rates (both Conclusion: SES strongly influences survival disparities in patients with MM. Our nomogram consisting of clinical and sociodemographic characteristics can potentially predict survival outcomes.
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