Evidence map›Paper›PMID 37659966›Full record

SynthesisClinical lymphoma, myeloma & leukemia2023

Disparities in Multiple Myeloma Treatment Patterns in the United States: A Systematic Review.

Hamlet Gasoyan, Mark A Fiala, Michelle Doering, Ravi Vij, Michael Halpern, Graham A Colditz

Abstract readSystematic Review
In one paragraph

Synthesis in Clinical lymphoma, myeloma & leukemia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

6 authors.

Hamlet GasoyanCenter for Value-Based Care Research, Department of Internal Medicine and Geriatrics, Primary Care Institute, Cleveland Clinic, Cleveland, OH. Electronic address: gasoyah@ccf.org.
Mark A FialaDivision of Oncology, Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO.
Michelle DoeringBernard Becker Medical Library, Washington University School of Medicine in St. Louis, St. Louis, MO.
Ravi VijDivision of Oncology, Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO.
Michael HalpernHealthcare Delivery Research Program, National Cancer Institute, Bethesda, MD.
Graham A ColditzDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine in St. Louis, St. Louis, MO.

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI AIMEE S JAMES · 2001 to 2026
$128.0M
Modifiable Determinants of Disparities in Multiple Myeloma Treatment PatternsR00CA277136 · NCI · CLEVELAND CLINIC LERNER COM-CWRU · PI Hamlet Gasoyan · 2024 to 2026
$747k
Modifiable Determinants of Disparities in Multiple Myeloma Treatment PatternsK99CA277136 · NCI · CLEVELAND CLINIC LERNER COM-CWRU · PI GASOYAN, HAMLET · 2023 to 2023
$160k
NCI NIH HHS K99 CA277136NCI NIH HHS P30 CA091842NCI NIH HHS R00 CA277136
6 · The paper itself

Abstract

We performed a systematic review of the literature investigating the demographic and insurance-related factors linked to disparities in multiple myeloma (MM) care patterns in the United States from 2003 to 2021. Forty-six observational studies were included. Disparities in MM care patterns were reported based on patient race in 76% of studies (34 out of 45 that captured race as a study variable), ethnicity in 60% (12 out of 20), insurance in 77% (17 out of 22), and distance from treating facility, urbanicity, or geographic region in 62% (13 out of 21). A smaller proportion of studies identified disparities in MM care patterns based on other socioeconomic characteristics, with 36% (9 out of 25) identifying disparities based on income estimate or employment status and 43% (6 out of 14) based on language barrier or education-related factors. Sociodemographic characteristics are frequently associated with disparities in care for individuals diagnosed with MM. There is a need for further research regarding modifiable determinants to accessing care such as insurance plan design, patient out-of-pocket costs, preauthorization criteria, as well as social determinants of health. This information can be used to develop actionable strategies for reducing MM health disparities and enhancing timely and high-quality MM care.

Indexed as

Multiple MyelomaEthnicityHealthcare DisparitiesHealth ExpendituresHumansIncomeSocioeconomic FactorsUnited StatesHealth equityHealth insuranceHematologic malignanciesRaceSocial determinants of health

Identifiers

PMID37659966
PMCPMC10844924

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.