Evidence map›Paper›PMID 33785296›Full record

ArticleClinical lymphoma, myeloma & leukemia2021

The Impact of Socioeconomic Risk Factors on the Survival Outcomes of Patients With Newly Diagnosed Multiple Myeloma: A Cross-analysis of a Population-based Registry and a Tertiary Care Center.

Laura A Evans, Ronald Go, Rahma Warsame, Bharat Nandakumar, Francis K Buadi, Angela Dispenzieri, David Dingli, Martha Q Lacy, Suzanne R Hayman, Prashant Kapoor and 15 more

Open access · greenAbstract read
In one paragraph

Article in Clinical lymphoma, myeloma & leukemia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

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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

25 authors at 3 institutions in 1 country.

Laura A EvansDivision of Hematology, Mayo Clinic, Rochester, MN; Department of Biology, Johns Hopkins University, Baltimore, MD.
Ronald GoDivision of Hematology, Mayo Clinic, Rochester, MN.
Rahma WarsameDivision of Hematology, Mayo Clinic, Rochester, MN.
Bharat NandakumarDivision of Hematology, Mayo Clinic, Rochester, MN.
Francis K BuadiDivision of Hematology, Mayo Clinic, Rochester, MN.
Angela DispenzieriDivision of Hematology, Mayo Clinic, Rochester, MN.
David DingliDivision of Hematology, Mayo Clinic, Rochester, MN.
Martha Q LacyDivision of Hematology, Mayo Clinic, Rochester, MN.
Suzanne R HaymanDivision of Hematology, Mayo Clinic, Rochester, MN.
Prashant KapoorDivision of Hematology, Mayo Clinic, Rochester, MN.
Nelson LeungDivision of Hematology, Mayo Clinic, Rochester, MN; Department of Nephrology and Hypertension, Mayo Clinic, Rochester, MN.
Amie FonderDivision of Hematology, Mayo Clinic, Rochester, MN.
Miriam HobbsDivision of Hematology, Mayo Clinic, Rochester, MN.
Yi Lisa HwaDivision of Hematology, Mayo Clinic, Rochester, MN.
Eli MuchtarDivision of Hematology, Mayo Clinic, Rochester, MN.
Taxiarchis V KourelisDivision of Hematology, Mayo Clinic, Rochester, MN.
Stephen RussellDivision of Hematology, Mayo Clinic, Rochester, MN.
John A LustDivision of Hematology, Mayo Clinic, Rochester, MN.
Yi LinDivision of Hematology, Mayo Clinic, Rochester, MN.
Mustaqeem SiddiquiDivision of Hematology, Mayo Clinic, Rochester, MN.
Robert A KyleDivision of Hematology, Mayo Clinic, Rochester, MN.
Morie A GertzDivision of Hematology, Mayo Clinic, Rochester, MN.
S Vincent RajkumarDivision of Hematology, Mayo Clinic, Rochester, MN.
Shaji KumarDivision of Hematology, Mayo Clinic, Rochester, MN.
Wilson I GonsalvesDivision of Hematology, Mayo Clinic, Rochester, MN. Electronic address: gonsalves.wilson@mayo.edu.
Mayo Clinic in Arizona · USMayo Clinic · USJohns Hopkins University · US

Funding

Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
Project 4: Targeting Resistance to T-Cell Directed Therapy in Multiple MyelomaP50CA186781 · NCI · MAYO CLINIC ARIZONA · PI Rafael Fonseca · 2015 to 2026
$25.5M
Assessment of Metabolites Among Asymptomatic Precursor and Malignant Monoclonal GammopathiesR01CA254961 · NCI · MAYO CLINIC ROCHESTER · PI GONSALVES, WILSON · 2021 to 2024
$1.5M
Dysregulation of Glutamine Metabolism in the Pathogenesis of Multiple MyelomaK23CA218742 · NCI · MAYO CLINIC ROCHESTER · PI GONSALVES, WILSON · 2017 to 2019
$513k
NCATS NIH HHS UL1 TR000135NCI NIH HHS K23 CA218742NCI NIH HHS P50 CA186781NCI NIH HHS R01 CA254961
6 · The paper itself

Abstract

backgroundMultiple myeloma (MM) is a heterogeneous clonal plasma cell disorder leading to differences in clinical outcomes such as overall survival (OS) among patients. We hypothesized that with expensive, novel therapeutic agents and paradigm shifts to maintain continuous therapy and improvement in OS, patients with MM are subject to the pressures of financial toxicity and the need for social support, which may be of prognostic importance. MATERIALS AND

methodsIn this study, we examined the records of 122,458 patients from the National Cancer Database (NCDB) to determine the significance of socioeconomic factors such as estimated annual household income and education level, which were based on the patient's ZIP Code and the United States Census Bureau's 5-year report from 2008 to 2012. These socioeconomic factors, in addition to marital status, were then assessed individually and as a cumulative socioeconomic score for prognostic significance in a cohort of 2543 patients treated at a tertiary care center utilizing known biologic risk factors, such as cytogenetic risk, International Staging System classification, and serum lactate dehydrogenase levels.

resultsOnly marital status and estimated annual household income at diagnosis negatively impacted OS in a univariate analysis, but not in the context of a multivariable analysis incorporating known biologic risk factors.

conclusionFuture analyses in other academic and non-academic centers located in urban and rural regions are required to understand the socioeconomic drivers of OS disparity among patients with MM observed nationally.

Indexed as

AdultAgedAged, 80 and overFamily CharacteristicsFemaleFinancial StressHealth Care CostsHealthcare DisparitiesHumansIncomeKaplan-Meier EstimateMaleMarital StatusMiddle AgedMultiple MyelomaPrognosisMyelomaOutcomesPrognosisSocioeconomic statusSurvival

Identifiers

PMID33785296
PMCPMC8592381
OpenAlexW3132485273

What OpenQuestion holds

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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.