Evidence map›Paper›PMID 42032835›Full record

ArticleCancer control : journal of the Moffitt Cancer Center

Socioeconomic Disparities in Multiple Myeloma Survival in New South Wales Australia: A Population-Based Cohort Study.

Xue Qin Yu, Haoyu Zhang, Qingwei Luo, Anna Kelly, Marianne Weber, David Goldsbury, Karen Canfell, Eleonora Feletto

Abstract read
In one paragraph

Article in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xue Qin YuThe Daffodil Centre, The University of Sydney, and Cancer Council NSW, Sydney, NSW, Australia.ORCID 0000-0001-8638-7979
Haoyu ZhangThe Daffodil Centre, The University of Sydney, and Cancer Council NSW, Sydney, NSW, Australia.
Qingwei LuoThe Daffodil Centre, The University of Sydney, and Cancer Council NSW, Sydney, NSW, Australia.ORCID 0000-0002-8902-6869
Anna KellyCancer Elimination Collaboration, School of Public Health, The University of Sydney, Sydney, NSW, Australia.
Marianne WeberCancer Elimination Collaboration, School of Public Health, The University of Sydney, Sydney, NSW, Australia.ORCID 0000-0001-5731-9651
David GoldsburyThe Daffodil Centre, The University of Sydney, and Cancer Council NSW, Sydney, NSW, Australia.ORCID 0000-0001-6247-2706
Karen CanfellCancer Elimination Collaboration, School of Public Health, The University of Sydney, Sydney, NSW, Australia.
Eleonora FelettoCancer Elimination Collaboration, School of Public Health, The University of Sydney, Sydney, NSW, Australia.ORCID 0000-0001-6192-4694

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionAustralia has one of the highest incidence rates of multiple myeloma (MM) globally, and this burden is projected to increase significantly in the coming decades. Survival has improved over time, but it is not clear how this differs by socioeconomic group. Here, we used population-based data to evaluate survival differences by socioeconomic group and other prognostic factors of individuals with MM in Australia.MethodsThis retrospective study included individuals diagnosed with primary MM between 2008 and 2019, as recorded in the New South Wales Cancer Registry, with survival follow-up to 2020. The identified individuals with primary MM were classified into 3 socioeconomic groups (low, medium, high) based on their residential location at diagnosis. Competing-risk modelling was used to estimate sub-hazard ratios (SHR) for socioeconomic group adjusting for potential prognostic factors, including age at diagnosis, sex, year of diagnosis, remoteness areas, autologous stem cell transplantation (ASCT) use, and hospital type.ResultsOverall, 6,030 individuals were included in the study. The 5-year cumulative incidence of death due to MM was higher (p<0.0001) in low and medium socioeconomic groups (0.42 and 0.39), compared with the high socioeconomic group (0.34). Individuals in the high socioeconomic group were more likely to receive ASCT and to receive care at public principal referral/private hospitals. Compared to the high socioeconomic group, the excess risk of dying was higher (p<0.0001) in low (SHR=1.27, 95% CI: 1.14-1.42) and medium (SHR=1.20, 95% CI: 1.08-1.33) socioeconomic groups, but not statistically different (p=0.13) when other prognostic factors were considered.ConclusionSurvival disparity by socioeconomic groups among individuals with MM in Australia is largely accounted for by known prognostic factors, especially ASCT receipt and hospital type. Existing disparities suggest that a comprehensive evaluation of access to and availability of MM treatment, including identification of potential barriers to treatment receipt, is urgently needed.

Indexed as

Multiple MyelomaAgedFemaleHumansIncidenceMaleMiddle AgedNew South WalesPrognosisRegistriesRetrospective StudiesSocioeconomic Disparities in HealthSocioeconomic FactorsAustraliamultiple myelomasocioeconomic disparitysurvival analysis

Identifiers

PMID42032835
PMCPMC13125840

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.