Evidence map›Paper›PMID 34243048›Full record

ArticleCancer epidemiology2021

Multiple myeloma, race, insurance and treatment.

Himanshu Joshi, Sylvia Lin, Kezhen Fei, Anne S Renteria, Hannah Jacobs, Madhu Mazumdar, Sundar Jagannath, Nina A Bickell

Abstract read
In one paragraph

Article in Cancer epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Partnering With All Patients: Ensuring Shared Decision Making and Evidence-Based Management for Underrepresented Groups With Multiple Myeloma.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2023
    Article
  12. Article
  13. Article
  14. Review
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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

8 authors.

Himanshu JoshiInstitute for Healthcare Delivery Science, NY, NY, United States; Department of Population Health Science and Policy, NY, NY, United States; Tisch Cancer Institute all at the Icahn School of Medicine at Mount Sinai, NY, NY, United States.
Sylvia LinDepartment of Population Health Science and Policy, NY, NY, United States.
Kezhen FeiDepartment of Population Health Science and Policy, NY, NY, United States; Tisch Cancer Institute all at the Icahn School of Medicine at Mount Sinai, NY, NY, United States.
Anne S RenteriaDepartment of Hematology and Medical Oncology, NY, NY, United States.
Hannah JacobsDepartment of Population Health Science and Policy, NY, NY, United States.
Madhu MazumdarInstitute for Healthcare Delivery Science, NY, NY, United States; Department of Population Health Science and Policy, NY, NY, United States; Tisch Cancer Institute all at the Icahn School of Medicine at Mount Sinai, NY, NY, United States.
Sundar JagannathDepartment of Hematology and Medical Oncology, NY, NY, United States.
Nina A BickellDepartment of Population Health Science and Policy, NY, NY, United States; Center for Health Equity and Community Engaged Research, NY, NY, United States; Tisch Cancer Institute all at the Icahn School of Medicine at Mount Sinai, NY, NY, United States. Electronic address: nina.bickell@mountsinai.org.

Funding

THE TISCH CANCER INSTITUTE - CANCER CENTER SUPPORT GRANTP30CA196521 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Ramon E Parsons · 2015 to 2026
$35.4M
NCI NIH HHS P30 CA196521
6 · The paper itself

Abstract

purposeMultiple Myeloma (MM), the second leading blood malignancy, has complex and costly disease management. We studied patterns of treatment disparities and unplanned interruptions among the MM patients after the Affordable Care Act to assess their prevalence and effect on survival. MATERIALS AND

methodsThis retrospective study of 1002 MM patients at a tertiary referral center used standard guidelines as a reference to identify underuse of effective treatments. We used multivariate logistic regression and Cox proportionate hazard to study the prognostic effect on survival.

resultsMedian age in the cohort was 63.0 [IQR: 14] years. Non-Hispanic White (NHW) patients were older (p = 0.007) and more likely to present with stage I disease (p = 0.02). Underuse of maintenance therapy (aOR = 1.98; 95 % CI 1.12-3.48) and interruptions in treatment were associated with race/ethnicity and insurance (aOR = 4.14; 95 % CI: 1.78-9.74). Only underuse of induction therapy was associated with overall patient survival.

conclusionAge, race, ethnicity and primary insurance contribute to the underuse of treatment and in unplanned interruptions in MM treatment. Addressing underuse causes in such patients is warranted.

Indexed as

Healthcare DisparitiesMultiple MyelomaAgedHumansInsurance, HealthMiddle AgedPatient Protection and Affordable Care ActRacial GroupsRetrospective StudiesUnited StatesInduction therapyMultiple myelomaPatient outcomeSociodemographic disparities

Identifiers

PMID34243048
PMCPMC8552452

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.