Evidence map›Paper›PMID 39849162›Full record

ArticleAnnals of hematology2025

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.

Gunnar Larfors, Kristina Carlson, Christopher Day, Sigrun Einarsdottir, Gunnar Juliusson, Moshtaak Karma, Dorota Knut-Bojanowska, Ingigerður Sólveig Sverrisdóttir, Ingemar Turesson, Mariana Villegas-Scivetti and 1 more

Abstract read
In one paragraph

Article in Annals of hematology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Gunnar LarforsUnit of Haematology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden. gunnar.larfors@uu.se.ORCID http://orcid.org/0000-0002-1549-8695
Kristina CarlsonUnit of Haematology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Christopher DayDepartment of Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Sigrun EinarsdottirDepartment of Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0003-4756-6805
Gunnar JuliussonDepartment of Laboratory Medicine, Stem Cell Center, Lund University and Department of Haematology, Skåne University Hospital, Lund, Sweden.ORCID http://orcid.org/0000-0002-7911-7265
Moshtaak KarmaDepartment of Haematology, Södra Älvsborg Hospital, Borås, Sweden.
Dorota Knut-BojanowskaDepartment of Haematology, Uddevalla Hospital, Uddevalla, Sweden.
Ingigerður Sólveig SverrisdóttirDepartment of Haematology and Coagulation, Sahlgrenska University Hospital, Gothenburg, Sweden.ORCID http://orcid.org/0000-0003-2353-573X
Ingemar TuressonDepartment of Haematology, Skåne University Hospital Malmö, Lund, Sweden.ORCID http://orcid.org/0000-0002-4115-8010
Mariana Villegas-ScivettiDepartment of Haematology and Coagulation, Sahlgrenska University Hospital, Gothenburg, Sweden.
Cecilie Hveding BlimarkDepartment of Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0003-3297-6019

Funding

Västra Götalandsregionen 977904
6 · The paper itself

Abstract

Despite advancements in multiple myeloma treatment, prognostic variability persists. We investigated the impact of income and education on treatment and survival in a country with publicly funded healthcare. We analysed data from the Swedish Myeloma Registry (2008-2021) linked to national registers. Cox models assessed survival, adjusting for demographics and comorbidities. Treatment patterns were compared using cumulative incidence functions. Among 8,672 patients, higher education and income correlated with prolonged survival. Adjusted hazard ratios (HRs) for low income were 1.4 (95% CI 1.3-1.5) and for low education were 1.3 (95% CI 1.2-1.4). Higher income patients were more likely to receive lenalidomide (HR 1.5, 95% CI 1.3-1.6) and pomalidomide (HR 1.7, 95% CI 1.4-2.0), and less likely to receive melphalan tablets (HR 0.8, 95% CI 0.7-0.9). Low-income patients were less likely to undergo stem cell transplant (HR 0.8, 95% CI 0.7-0.9). Immigrant status or biological sex did not influence outcomes. Even in a tax-funded system, socioeconomic disparities impact myeloma survival and treatment. Lower socioeconomic status correlates with inferior outcome and more conservative treatment. Attitudinal biases may contribute to these disparities. Better treatment for the less privileged patients could significantly improve myeloma survival, advocating for efforts to overcome the influence of socioeconomic status.

Indexed as

Educational StatusIncomeMultiple MyelomaRegistriesAdultAgedAged, 80 and overFemaleHumansLenalidomideMaleMelphalanMiddle AgedPrognosisSurvival RateSwedenLenalidomideMelphalanpomalidomideThalidomideCohort studiesEpidemiologyMultiple myelomaSocioeconomic factorsSurvival

Identifiers

PMID39849162
PMCPMC11868313

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.