Evidence map›Paper›PMID 42474258›Full record

Observational studyCancer control : journal of the Moffitt Cancer Center

Psychosocial Stress Exposures and Advanced Disease at Ovarian Cancer Diagnosis.

April Deveaux, Drew Neish, Shenae Samuels, Oyomoare L Osazuwa-Peters, Ashwini Joshi, Veronica Duck, Margaret Gates Kuliszewski, Bin Huang, Kevin Ward, Maria Pisu and 4 more

Abstract readObservational Study
In one paragraph

Observational study in Cancer control : journal of the Moffitt Cancer Center. 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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0citing papers in PubMed
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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

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5 · Who and what money

Authors and funding

14 authors.

April DeveauxDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
Drew NeishDuke Cancer Institute, Durham, NC, USA.
Shenae SamuelsDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
Oyomoare L Osazuwa-PetersDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
Ashwini JoshiDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
Veronica DuckDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
Margaret Gates KuliszewskiNew York State Cancer Registry, New York State Department of Health, Albany, NY, USA.ORCID 0000-0002-2111-6227
Bin HuangKentucky Cancer Registry, University of Kentucky, Lexington, KY, USA.
Kevin WardGeorgia Cancer Registry, Emory University, Atlanta, GA, USA.
Maria PisuDivision of Preventive Medicine and O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA.ORCID 0000-0001-9329-3268
Thomas C TuckerUniversity of Kentucky, Lexington, KY, USA.
Rebecca PrevisLabcorp, Durham, NC, USA.
Andrew BerchuckDuke Division of Gynecologic Oncology, Durham, NC.
Tomi AkinyemijuDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.ORCID 0000-0002-1412-3234

Funding

Stress-related inflammation and racial disparities in ovarian cancerR37CA233777 · NCI · DUKE UNIVERSITY · PI AKINYEMIJU, TOMI F · 2019 to 2025
$4.2M
Psychosocial Stress, Vaginal Microbiome, and Ovarian Cancer: An Integrative FrameworkK01CA255408 · NCI · DUKE UNIVERSITY · PI April Deveaux · 2023 to 2026
$491k
NCI NIH HHS K01 CA255408NCI NIH HHS R37 CA233777
6 · The paper itself

Abstract

IntroductionRacial disparities in ovarian cancer outcomes persist even after accounting for clinical and treatment factors. Psychosocial stressors, including discrimination and perceived stress, may contribute through behavioral and biological pathways, but their associations with advanced disease at diagnosis remain understudied.MethodsWe conducted a cross-sectional analysis of 451 women (69 Black, 382 White) with ovarian cancer enrolled in the Ovarian Cancer Epidemiology, Healthcare Access and Disparities (ORCHiD) study, a population-based study recruiting from state cancer registries across seven US states between March 2021 and August 2024. Participants completed surveys assessing everyday discrimination (EOD) and perceived stress (PSS-4); disease characteristics were obtained from cancer registry records. Logistic regression models assessed associations between psychosocial stressors and late-stage disease (FIGO stage IV) or Type II epithelial histology.ResultsOverall, 12.4% reported EOD in ≥3 domains while 11.5% reported high PSS-4 scores. Black women reported significantly higher discrimination levels; 49% reported discrimination in 3+ domains versus 6% of White women. PSS-4 scores did not differ by race. In adjusted models, higher EOD score was associated with 42% increased odds of late-stage disease (OR 1.42, 95% CI: 0.64, 2.98) and higher PSS-4 score with 32% increased odds (OR 1.32, 95% CI: 0.56, 2.94), though these associations were not statistically significant. Discrimination while receiving service in stores or restaurants showed a nominally significant association with late-stage diagnosis (adjusted OR = 2.11, 95% CI: 1.05-4.25), though this did not survive correction for multiple testing.ConclusionsBlack women with ovarian cancer experience substantially higher levels of racial discrimination, but these exposures were not consistently associated with advanced disease at diagnosis. A nominally significant domain-specific association with service-setting discrimination warrants investigation in larger, prospective studies. These findings suggest that specific discrimination experiences may represent a pathway through which psychosocial stress contributes to ovarian cancer disparities.

Indexed as

Ovarian NeoplasmsStress, PsychologicalAgedBlack or African AmericanCross-Sectional StudiesFemaleHumansMiddle AgedNeoplasm StagingSubjective StressUnited StatesWhiteexperiences of discriminationORCHiDovarian cancerperceived stresspsychosocial stress

Identifiers

PMID42474258
PMCPMC13385586

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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.