Evidence map›Paper›PMID 42832123›Full record

ArticleCancer causes & control : CCC2026

Emergency diagnosis of multiple myeloma: a SEER-Medicare study.

Atinuke G Oyinbo, Saif Al Amin, Matthew R LeBlanc, Staci A Keene, Sharon Peacock Hinton, Allison W Kurian, Sandi L Pruitt, Nicholas Pettit, Megan A Mullins, Georgios Lyratzopoulos and 1 more

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Article in Cancer causes & control : CCC, 2026. 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

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Atinuke G Oyinbo *Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. atinuke_oyinbo@med.unc.edu.ORCID https://orcid.org/0000-0001-5912-7688
Saif Al Amin *Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Matthew R LeBlancLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Staci A KeeneDepartment of Pathology and Laboratory Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Sharon Peacock HintonDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Allison W KurianDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Sandi L PruittPeter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, TX, USA.
Nicholas PettitDepartment of Emergency Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
Megan A MullinsPeter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, TX, USA.
Georgios LyratzopoulosEpidemiology of Cancer Healthcare & Outcomes (ECHO), Department of Behavioural Science and Health, Institute of Epidemiology and Health Care (IECH), UCL, 1-19 Torrington Place, London, WC1E 7HB, UK.
Caroline A ThompsonLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Funding

Diagnosis of Cancer in the Emergency Room - Explaining Persistent Disparities - Diversity SupplementR01CA264176 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI THOMPSON, CAROLINE AVERY · 2021 to 2025
$2.0M
NCI NIH HHS R01CA264176
6 · The paper itself

Abstract

purposeNon-specific presenting symptoms make multiple myeloma (MM) one of the most difficult hematologic cancers to diagnose, increasing the risk of late diagnosis and emergency presentation (EP). We examined the frequency of EP in MM, estimated associations between EP and patient-level factors, and MM symptom-related healthcare utilization in the year before diagnosis.

methodsWe studied Medicare beneficiaries age ≥ 66 years diagnosed with MM between 2008 and 2017. Emergency presentation (EP) was defined as diagnosis preceded by a recent ED visit, sub-classified as: inpatients (EP-IP) for subsequently admitted patients and outpatients (EP-OP) for those discharged for follow-up care.

resultsAmong 20,437 patients, 52% were male, 75% non-Hispanic White (NHW), and the median age was 76. Overall, 37% were diagnosed through involvement with the ED (EP-IP: 30%; EP-OP: 7%). In iteratively adjusted models, oldest age, female sex, non-Hispanic Black, Hispanic, Asian American, Native Hawaiian or Other Pacific Islander race and ethnicity, unmarried status, dual eligibility for Medicaid and Medicare, lowest county SES, rurality, frailty, and higher healthcare use in the year pre-diagnosis were associated with higher frequency of ED involvement in diagnosis. Symptom-related healthcare utilization was comparable among EP and non-EP groups in the year preceding MM diagnosis but markedly increased for the EP group in the month before diagnosis.

conclusionsMore than one-third of older US adults with MM are diagnosed through EP. Several socio-demographic, clinical and healthcare utilization factors are associated with EP. Similarities in healthcare utilization across EP status in the months preceding diagnosis suggest missed opportunities for earlier detection of MM.

Indexed as

Multiple MyelomaAgedAged, 80 and overEmergency Room VisitsFemaleHumansMaleMedicareSEER ProgramUnited StatesEmergency presentationMultiple myelomaOlder adultsSEER-Medicare

Identifiers

PMID42832123

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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.