Trends in myeloma relative survival in Queensland by treatment era, age, place of residence, and socioeconomic status

Harwood, Matthew; Dunn, Nathan; Moore, Julie; Mollee, Peter; Hapgood, Greg

doi:10.1080/10428194.2019.1688322

Cited by 4 publications

(8 citation statements)

References 19 publications

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“…In several studies, SES was an independent predictor of MM patient survival in multiple cohorts, which is in accordance with our results (11,12,19,20). We provide clear evidence that SES inequalities are associated with survival differences among patients with MM, regardless of OS or MSS.…”

Section: Discussionsupporting

confidence: 92%

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

Han

et al. 2022

Front. Oncol.

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ObjectiveThis 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.MethodsThe 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.ResultsIn 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.ConclusionSES 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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Section: Discussionsupporting

confidence: 92%

“…With respect to rurality, rural patients experienced worse survival than patients in urban areas, which is consistent with current research related to residence. In both China and Queensland, Australia, rural patients were found to have worse survival across all age groups (19,23).…”

Section: Discussionmentioning

confidence: 99%

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

Han

et al. 2022

Front. Oncol.

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“…Importantly, residence and SES were significant in multivariate testing, demonstrating that each was independently predictive of O.S. 54 …”

Section: Resultsmentioning

confidence: 89%

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

Intzes

Symeonidou

Zagoridis

et al. 2020

Mediterr J Hematol Infect Dis

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Socioeconomic status (SES) is reflecting differences in sociodemographic factors affecting cancer survivorship. Deprived, low SES populations has a higher prevalence of multiple myeloma and worst survival, a gap that widens over time. Methods: We performed a meta-analysis of 16 studies (registries and cohorts) reporting survival data of myeloma patients according to SES. Ten studies reported Hazzard Ratio (HR) (95 % CI) and 16 studies reported p values. We combined the HR from 10 studies and by using the Mosteller-Bush formula we performed the synthesis of p values according to the area of the globe. Results: A combination of HR from 10 studies including 85198 myeloma patients weighted to sample size of each study and adopting the hypothesis of random effect returned a combined HR: 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 UK 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 socioeconomic status remains a gap for equality in myeloma care

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“…Twenty-four US and 14 non-US studies reported on age and disparities in survival (Supplementary Table 8 ), and three US and 11 non-US studies on age and disparities in mortality (Supplementary Table 9 ). Most studies reported that survival and mortality worsened with increasing age [ 14 , 16 , 22 , 23 , 25 , 27 , 29 , 30 , 35 , 37 , 38 , 40 , 41 , 43 , 45 , 46 , 48 , 51 , 55 – 57 , 59 , 61 , 66 , 67 , 69 , 71 , 73 – 75 , 77 , 80 , 82 , 83 , 85 – 87 , 89 , 90 , 96 , 98 ].…”

Section: Resultsmentioning

confidence: 99%

“…Nineteen US and 14 non-US studies reported on sex and survival (Supplementary Table 10 ), and six US and 10 non-US studies on sex and mortality (Supplementary Table 11 ). Most studies reported no effect of sex on survival or mortality [ 16 , 25 , 27 , 32 , 34 , 38 , 45 , 56 , 59 , 63 , 66 , 68 , 69 , 74 , 75 , 80 , 84 , 90 , 92 , 97 ]. However, a subset of studies reported more favorable survival in women [ 14 , 22 , 29 , 40 , 41 , 43 , 48 , 55 , 61 ], and mortality rates were generally higher in men [ 29 , 44 , 46 , 67 , 70 , 77 , 82 , 89 , 92 , 94 , 98 , 99 ].…”

Section: Resultsmentioning

confidence: 99%

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

et al. 2023

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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.

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Trends in myeloma relative survival in Queensland by treatment era, age, place of residence, and socioeconomic status

Cited by 4 publications

References 19 publications

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

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

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

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

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