Socioeconomic Status Is an Independent Prognostic Factor for Overall Survival in Patients With Multiple Myeloma: Real-World Data From a Cohort of 223 Patients

Global disparities in patients with multiple myeloma: a rapid evidence assessment

There are disparities in outcomes for patients with multiple myeloma (MM). We evaluated the influence of sociodemographic factors on global disparities in outcomes for patients with MM. This rapid evidence assessment (PROSPERO, CRD42021248461) followed PRISMA-P guidelines and used the PICOS framework. PubMed and Embase® were searched for articles in English from 2011 to 2021. The title, abstract, and full text of articles were screened according to inclusion/exclusion criteria. The sociodemographic factors assessed were age, sex, race/ethnicity, socioeconomic status, and geographic location. Outcomes were diagnosis, access to treatment, and patient outcomes. Of 84 articles included, 48 were US-based. Worldwide, increasing age and low socioeconomic status were associated with worse patient outcomes. In the US, men typically had worse outcomes than women, although women had poorer access to treatment, as did Black, Asian, and Hispanic patients. No consistent disparities due to sex were seen outside the US, and for most factors and outcomes, no consistent disparities could be identified globally. Too few studies examined disparities in diagnosis to draw firm conclusions. This first systematic analysis of health disparities in patients with MM identified specific populations affected, highlighting a need for additional research focused on assessing patterns, trends, and underlying drivers of disparities in MM.

Socioeconomic status-based survival disparities and nomogram prediction for patients with multiple myeloma: Results from American and Chinese populations

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 P < 0.001). Multivariate analysis confirmed SES as an independent predictor of survival. Subgroup analysis indicated an increasing linear trend in survival benefits in non-Hispanic White, married, insured, and urban populations with increasing SES (all P < 0.001). In the training cohort, albumin, creatinine, rurality, and SES were confirmed as independent prognostic indicators. A nomogram for OS prediction was developed using these four factors, and it showed satisfactory discrimination and calibration. The 18- and 36-month AUC values of the nomogram were 0.79 and 0.82, respectively. Based on the total nomogram points, patients were categorized into two risk levels with good separation.

Conclusion

SES strongly influences survival disparities in patients with MM. Our nomogram consisting of clinical and sociodemographic characteristics can potentially predict survival outcomes.

Socioeconomic Status is Globally a Prognostic Factor for Overall Survival of Multiple Myeloma Patients: Synthesis of Studies and Review of the Literature

Background

Socioeconomic status (SES) is reflecting differences in sociodemographic factors affecting cancer survivorship. Deprived, low SES populations have a higher prevalence of multiple myeloma and worst survival, a condition which widens over time.

Methods

We performed a meta-analysis of 16 studies (registries and cohorts) reporting myeloma patients’ survival data according to SES. Ten studies reported Hazzard Ratio (H.R.) (95 % CI), and 16 studies reported p values. We combined the H.R. from 10 studies, and by using the Mosteller-Bush formula, we performed a synthesis of p values according to the area of the globe.

Results

Combination of H.R. from 10 studies including 85198 myeloma patients weighted to sample size of each study and adopting the hypothesis of random effect returned a combined H.R.: 1,26 (1,13–1,31) in favor of high SES patients.

USA: Synthesis of p values coming from 6 studies (n=89807 pts) by using the Mosteller and Bush formula extracted a p-value of <0.0001 favoring high SES patients.

Oceania: Synthesis of p values in two cohorts from Australia and New Zealand (n= 10196 pts) returned a p-value of 0,022 favoring high SES patients.

Europe: The synthesis of p values from the U.K. and Greece studies (n=18533 pts) returned a p-value of <0,0001 favoring high SES patients.

Asia: Synthesis of 2 studies from Asia (n=915 pts) returned a p-value of <0,0001 favoring high SES patients.

Conclusions

Across the globe and widening over decades, the socioeconomic status remains a gap for equality in myeloma care.