Evidence map›Paper›PMID 40279127›Full record

ArticleJAMA network open2025

Geographic Variation of Racial and Ethnic Differences in Uterine Cancer Survival.

Caitlin E Meade, Jennifer A Sinnott, Tasleem J Padamsee, Megan A Clarke, Jesse J Plascak, Casey M Cosgrove, Britton Trabert, Ashley S Felix

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Caitlin E MeadeDivision of Epidemiology, College of Public Health, The Ohio State University, Columbus.
Jennifer A SinnottDepartment of Statistics, College of Arts and Sciences, The Ohio State University, Columbus.
Tasleem J PadamseeDivision of Health Services Management and Policy, College of Public Health, The Ohio State University, Columbus.
Megan A ClarkeDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
Jesse J PlascakDivision of Cancer Prevention and Control, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, James Cancer Hospital and Solove Research Institute, Columbus.
Casey M CosgroveDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, The Ohio State University Wexner Medical Center, Arthur G James Cancer Center, Columbus.
Britton TrabertDepartment of Obstetrics and Gynecology, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City.
Ashley S FelixDivision of Epidemiology, College of Public Health, The Ohio State University, Columbus.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Racial and ethnic disparities in uterine cancer survival are well-documented; however, limited data exist regarding the interplay of geography, diversity, and race and ethnicity in survival disparities. Objective: To examine associations of race and ethnicity with uterine cancer-specific survival according to geographic region and regional diversity. Design, Setting, and Participants: This retrospective cohort study included patients with uterine cancer diagnosed from 2000 to 2019, from 17 Surveillance, Epidemiology, End Results registries, grouped by US location and ranked according to the US Census Bureau's Diversity Index (DI; range, 0%-100%; higher values indicate greater diversity), a metric of racial and ethnic composition. Analyses were conducted from June 8, 2024 to October 30, 2024. Exposures: Race and ethnicity of patients with uterine cancer, categorized as Asian, Black, Hispanic, and White. Main Outcomes and Measures: Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% CIs for multivariable-adjusted associations of race and ethnicity with uterine cancer-specific survival (primary outcome) in the overall sample and stratified by location. Location-stratified models were used to examine whether associations of race and ethnicity with survival varied by tumor characteristics. Results: Among 162 500 patients with uterine cancer (median [IQR] age at diagnosis, 61 [54-69] years), there were 12 226 Asian patients (7.5%), 14 007 Black patients (8.6%), 20 799 Hispanic patients (12.8%), and 115 468 White patients (71.1%). Cancer-specific survival was better among Asian patients (HR, 0.91; 95% CI, 0.86-0.97), worse among Black patients (HR, 1.34; 95% CI, 1.28-1.40), and not different among Hispanic patients (HR, 1.01; 95% CI, 0.97-1.06) compared with White patients. Location-stratified analyses found worse uterine cancer-specific survival among Black patients compared with White patients in both higher DI locations (California: HR, 1.34; 95% CI, 1.25-1.44; DI, 69.7%; New Jersey: HR, 1.34; 95% CI, 1.21-1.50; DI, 65.8%; Georgia: HR, 1.39; 95% CI, 1.26-1.53; DI = 64.1%) and lower DI locations (Louisiana: HR, 1.34; 95% CI, 1.16-1.54; DI = 58.6%; Connecticut: HR, 1.42; 95% CI, 1.17-1.72; DI, 55.7%; Iowa: HR, 1.71; 95% CI, 1.01-2.89; DI, 30.8%). Hispanic patients, compared with White patients, had worse survival in Hawaii (HR, 2.09; 95% CI, 1.28-3.42) and Georgia (HR, 1.44; 95% CI, 1.13-1.82), whereas Asian patients had better survival than White patients in California (HR, 0.91; 95% CI, 0.84-0.97). In locations demonstrating survival disparities between Black and White patients, these patterns were evident in most tumor characteristic-defined strata. Conclusions and Relevance: In this cohort study of patients with uterine cancer, racial and ethnic disparities in survival within specific geographic areas were identified. Targeted research may reduce national disparities.

Indexed as

EthnicityHealth Status DisparitiesRacial GroupsUterine NeoplasmsAgedBlack or African AmericanFemaleHumansMiddle AgedProportional Hazards ModelsRetrospective StudiesSEER ProgramUnited StatesWhite

Identifiers

PMID40279127
PMCPMC12032568

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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.