Evidence map›Paper›PMID 42714943›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2026

Measurement of Treatment Adequacy Influences Racial Disparities Estimates in Endometrial Cancer Care.

Ashley S Felix, Caitlin E Meade, Simran A Kanal, Heidy N Medina, Allison M Quick, Tasleem J Padamsee, Jennifer A Sinnott

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In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ashley S FelixWake Forest University Winston-Salem, NC United States.ORCID 0000-0001-8347-9018
Caitlin E MeadeWake Forest University Winston-Salem, NC United States.ORCID 0009-0005-6417-1399
Simran A KanalWake Forest University Winston-Salem, NC United States.ORCID 0009-0002-6712-6153
Heidy N MedinaUniversity of Miami Miller School of Medicine Miami, Florida United States.ORCID 0000-0002-1999-6448
Allison M QuickThe Ohio State University Comprehensive Cancer Center - Arthur G. James Cancer Hospital and Richard J. Solove Research Institute Columbus United States.ORCID 0000-0002-2260-6586
Tasleem J PadamseeThe Ohio State University United States.ORCID 0000-0001-6644-8084
Jennifer A SinnottThe Ohio State University Columbus, OH United States.ORCID 0000-0001-5472-9671

Funding

Understanding multilevel drivers of gaps in guideline-concordant endometrial cancer treatment in high-risk populationsR37CA266204 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Ashley S. Felix · 2022 to 2026
$2.3M
NCI NIH HHS HHSN261201800009CNCI NIH HHS HHSN261201800009INCI NIH HHS HHSN261201800015CNCI NIH HHS HHSN261201800015INCI NIH HHS HHSN261201800032CNCI NIH HHS HHSN261201800032INCI NIH HHS R37 CA266204
6 · The paper itself

Abstract

backgroundGuideline-concordant treatment (GCT) is a key indicator of cancer care quality, yet most studies rely on cancer registry data, which incompletely capture treatment adequacy and vary in population composition. As a result, estimates of racial and ethnic disparities in GCT may differ depending on treatment measurement and populations represented in the data.

methodsWe conducted analyses using Surveillance, Epidemiology, and End Results (SEER)-17, the National Cancer Database (NCDB), and SEER-Medicare to evaluate how treatment measurement and population composition influence disparities in guideline-concordant endometrial cancer treatment. GCT was defined according to National Comprehensive Cancer Network recommendations. Primary analyses used adequacy-based definitions incorporating treatment receipt, timing, amount, and duration, when available, while sensitivity analyses used receipt-based definitions based only on documented receipt. Logistic regression estimated odds ratios (ORs) and 95% confidence intervals (CIs) for associations between race/ethnicity and GCT within each data source. Additional sensitivity analyses evaluated influences of differences in underlying study populations.

resultsUsing adequacy-based definitions of GCT, Black patients had lower GCT odds than White patients (SEER OR=0.84, 95% CI=0.79-0.90; NCDB OR=0.75, 95% CI=0.73-0.77; SEER-Medicare OR=0.73, 95% CI=0.62-0.85). Within both NCDB and SEER-Medicare, adequacy-based definitions of GCT yielded larger racial and ethnic disparities than receipt-based definitions.

conclusionsThe estimated magnitude of racial disparities in guideline-concordant endometrial cancer treatment are sensitive to treatment measurement and patient selection; sources capturing treatment adequacy show larger disparities. IMPACT: Measuring treatment adequacy provides a more comprehensive assessment of inequities in endometrial cancer care and may improve cancer disparities research, quality measurement, and policy.

Identifiers

PMID42714943
PMCPMC13651777

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