Evidence map›Paper›PMID 38354331›Full record

ArticleJCO oncology practice2024

Role of Patient Characteristics and Insurance Type in Newly Diagnosed Multiple Myeloma Care Disparities.

Hamlet Gasoyan, Faiz Anwer, Nicholas J Casacchia, Jeffrey D Kovach, Jason Valent, Ming Wang, Michael T Halpern, Michael B Rothberg

Abstract read
In one paragraph

Article in JCO oncology practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Hamlet GasoyanDepartment of Internal Medicine and Geriatrics, Center for Value-Based Care Research, Primary Care Institute, Cleveland Clinic, Cleveland, OH.ORCID 0000-0002-1627-9777
Faiz AnwerCleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH.ORCID 0000-0001-6914-7439
Nicholas J CasacchiaDepartment of Internal Medicine and Geriatrics, Center for Value-Based Care Research, Primary Care Institute, Cleveland Clinic, Cleveland, OH.ORCID 0000-0003-2291-835X
Jeffrey D KovachDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH.ORCID 0000-0001-9051-7676
Jason ValentCleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH.
Ming WangDepartment of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH.
Michael T HalpernHealthcare Delivery Research Program, National Cancer Institute, Bethesda, MD.ORCID 0000-0001-8514-6313
Michael B RothbergDepartment of Internal Medicine and Geriatrics, Center for Value-Based Care Research, Primary Care Institute, Cleveland Clinic, Cleveland, OH.

Funding

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 R00 CA277136
6 · The paper itself

Abstract

purposeLittle is known about the role of social determinants of health (SDOH) in the utilization of novel treatments among patients with newly diagnosed multiple myeloma (NDMM).

methodsThis retrospective cohort study used Taussig Cancer Center's Myeloma Patient Registry to identify adults with NDMM between January 1, 2017, and December 31, 2021. Electronic health records data captured treatment with (1) triplet or quadruplet regimen and (2) lenalidomide during the first year after NDMM, and (3) stem-cell transplant (SCT) through December 31, 2022. Multivariable logistic regression models examined associations of demographic/clinical characteristics and SDOH with care patterns.

resultsWe identified 569 patients with median age at diagnosis of 66 years (IQR, 59-73); 55% were male, 76% White, 23% Black, 1.1% other races, insured by Medicare (51%), private payer (38%), Medicaid (8.3%), and self-pay/other (1.8%). In the multivariable models, self-pay/other payers (adjusted odds ratio [AOR], 0.15 [95% CI, 0.03 to 0.54]) was associated with lower odds of triplet or quadruplet regimen, compared with Medicare. Private insurance (AOR, 0.48 [95% CI, 0.27 to 0.86]) and self-pay/other payers (AOR, 0.16 [95% CI, 0.04 to 0.74]) had lower odds of lenalidomide. Black patients (

conclusionCare for NDMM varied based on race, insurance type, year of diagnosis, and treatment facility. It may be useful to examine the impact of insurance-related characteristics and recent policy initiatives on care disparities.

Indexed as

Healthcare DisparitiesMultiple MyelomaAgedFemaleHumansInsurance, HealthLenalidomideMaleMiddle AgedRetrospective StudiesUnited StatesLenalidomide

Identifiers

PMID38354331
PMCPMC11484193

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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.