Evidence map›Paper›PMID 41662908›Full record

Observational studyJournal of minimally invasive gynecology2026

Diagnostic Disparities in Endometriosis and Adenomyosis: Investigating Social Vulnerability and Access to Care in an Ancestrally Diverse Population.

Leigh A Humphries, Margaret A Rush, Meridith Pollie, Lindsay Guare, Chelsea Okeh, Penn Medicine BioBank, Shefali Setia Verma, Suneeta Senapati

Abstract readObservational Study
In one paragraph

Observational study in Journal of minimally invasive gynecology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Leigh A HumphriesCenter for Minimally Invasive Gynecologic Surgery, Department of Obstetrics and Gynecology, Newton-Wellesley Hospital, Harvard Medical School, Newton, MA (Humphries). Electronic address: lahumphries@mgb.org.
Margaret A RushDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Hospital of the University of Pennsylvania, Philadelphia, PA (Rush, Senapati).
Meridith PollieDepartment of Obstetrics and Gynecology, Hospital of the University of Pennsylvania, Philadelphia, PA (Pollie).
Lindsay GuareGenomics and Computational Biology, University of Pennsylvania, Philadelphia, PA (Guare).
Chelsea OkehInterdisciplinary Graduate Program in Biological and Biomedical Sciences, Vanderbilt University School of Medicine, Nashville, TN (Okeh).
Penn Medicine BioBankDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA (BioBank, Verma).
Shefali Setia VermaDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA (BioBank, Verma); Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA (Verma).
Suneeta SenapatiDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Hospital of the University of Pennsylvania, Philadelphia, PA (Rush, Senapati).

Funding

Training Program in Computational GenomicsT32HG000046 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI JUNHYONG KIM, Mingyao Li · 1999 to 2026
$9.5M
Integrative risk modeling for early prediction of endometriosis and its long-term health outcomes R01HD110567 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI SHEFALI Setia VERMA · 2023 to 2026
$2.7M
NHGRI NIH HHS T32 HG000046NICHD NIH HHS R01 HD110567
6 · The paper itself

Abstract

STUDY

objectiveTo evaluate differences in the likelihood of endometriosis or adenomyosis diagnosis across genetically-defined ancestry groups (African, Admixed American, East Asian, European, and South Asian), and to determine whether social vulnerability and access to surgery influence diagnostic practices in a diverse urban population.

settingPenn Medicine BioBank, a clinical and genomic biorepository. PATIENTS: Female patients aged 18 to 51 enrolled from 2008 to 2020 and followed through March 2024.

interventionsPopulation diversity was characterized using genotyping data from peripheral blood samples. Genetic ancestry was inferred through principal component analysis and clustering with reference populations. Sociocultural factors were assessed as distinct covariates rather than conflated with racial/ethnic identity. Social vulnerability indices (socioeconomic status, family/household factors, and housing/transportation access) were defined by Census tract of the patient's residence. Endometriosis and adenomyosis were identified using International Classification of Diseases-9/10 codes, validated by chart review. Logistic regressions were adjusted for age, body mass index, social vulnerability, and interaction terms. MEASUREMENTS AND MAIN

resultsAmong 9258 patients, 357 (3.9%) were diagnosed with endometriosis and 464 (5.0%) with adenomyosis. When all diagnostic routes were considered (surgical, imaging, and clinical), the likelihood of endometriosis did not differ by ancestry group. However, the odds of a surgical diagnosis by laparoscopy was significantly lower for patients of African ancestry, compared with European (adjusted OR: 0.57, 95% CI: 0.38-0.85). Socioeconomic vulnerability strongly modified this association: African-ancestry patients with the highest socioeconomic vulnerability had the lowest odds of receiving an endometriosis diagnosis (aOR: 0.29, 0.14-0.61), including surgically confirmed diagnosis (aOR: 0.31, 0.12-0.80), relative to those of European ancestry with lowest vulnerability. By contrast, patients of African ancestry had higher odds of adenomyosis (aOR: 2.88, 2.16-3.85), including cases confirmed by hysterectomy (aOR: 3.44, 2.21-5.36).

conclusionDiagnostic disparities in endometriosis and adenomyosis were most pronounced at the intersection of ancestry and socioeconomic vulnerability, highlighting the need to address social determinants and barriers to equitable care.

Indexed as

AdenomyosisEndometriosisHealthcare DisparitiesHealth Services AccessibilitySocial VulnerabilityAdolescentAdultAsianBlack or African AmericanFemaleHumansMiddle AgedSocioeconomic Disparities in HealthWhiteYoung AdultAncestralBiobankGenome sequencingGynecologic surgeryHealthcare accessHealth inequitiesPelvic painSocioeconomic status

Identifiers

PMID41662908
PMCPMC13267626

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Registered trials

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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.