Article in American journal of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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.
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
18 authors.
Christopher PiersonDepartment of Epidemiology, College of Public Health, University of Nebraska Medical Center, Omaha, NE, United States.ORCID 0009-0002-0754-6017
Stephen J MooneyDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, United States.ORCID 0000-0001-9092-938X
Andrew LawsonDepartment of Public Health Sciences, College of Medicine, Medical University of South Carolina, Charleston, SC, United States.ORCID 0000-0002-8751-4551
Anthony J AlbergDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.ORCID 0000-0002-3777-0266
Elisa V BanderaCancer Epidemiology and Health Outcomes, Rutgers Cancer Institute, New Brunswick, NJ, United States.ORCID 0000-0002-8789-2755
Melissa BondyDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, United States.ORCID 0000-0002-0278-414X
Lindsay J CollinDepartment of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States.ORCID 0000-0003-0170-2592
Michele L CoteDepartment of Epidemiology, Fairbanks School of Public Health, Indiana University, Indianapolis, IN, United States.ORCID 0000-0003-0312-1601
Theresa A HastertDepartment of Oncology, School of Medicine, Wayne State University, Detroit, MI, United States.ORCID 0000-0001-6251-6422
Anke HuelsDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0000-0002-6005-417X
Courtney E JohnsonDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0000-0003-4980-3499
Namita KhannaGynecology and Obstetrics, Emory University, Atlanta, GA, United States.ORCID 0000-0003-1694-3153
Hannah B MandleDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0000-0002-0277-9607
Lauren C PeresDepartment of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, United States.ORCID 0000-0002-6620-8600
Kendra L RatnapradipaDepartment of Epidemiology, College of Public Health, University of Nebraska Medical Center, Omaha, NE, United States.ORCID 0000-0003-0265-2400
Paul TerryDepartment of Medicine, Graduate School of Medicine, University of Tennessee Health Science Center College of Medicine, Knoxville, TN, United States.ORCID 0000-0002-0353-9197
Joellen M SchildkrautDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0000-0002-0990-9339
Edward S PetersDepartment of Epidemiology, College of Public Health, University of Nebraska Medical Center, Omaha, NE, United States.ORCID 0000-0003-4928-6532
Funding
Epidemiology of Ovarian Cancer in African-American WomenR01CA142081 · NCI · UNIVERSITY OF VIRGINIA · PI SCHILDKRAUT, JOELLEN M. · 2010 to 2015
$10.6M
Ovarian Cancer Survival in African-American WomenR01CA237318 · NCI · EMORY UNIVERSITY · PI LAWSON, ANDREW B., SCHILDKRAUT, JOELLEN M. · 2020 to 2024
$5.9M
Characterizing Molecular Subtypes of Ovarian Cancer in African-American WomenR01CA200854 · NCI · UNIVERSITY OF UTAH · PI DOHERTY, JENNIFER A., SCHILDKRAUT, JOELLEN M. · 2016 to 2021
$2.8M
The Role of Inflammation in the Racial Disparities in Ovarian Cancer SurvivalR00CA218681 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI PERES, LAUREN COLE · 2018 to 2020
$722k
NCI NIH HHS R00 CA218681NCI NIH HHS R01 CA142081NCI NIH HHS R01 CA200854NCI NIH HHS R01 CA237318NCI of NIH CA142081NCI of NIH CA200854NCI of NIH CA237318NCI of NIH K99/R00CA218681
6 · The paper itself
Abstract
Ovarian cancer (OC) is the fifth leading cause of cancer mortality among women in the US. Black women experience significantly lower OC survival than White women. Evidence suggests that this disparity is not solely the result of barriers to healthcare access but may also be impacted by other factors, including neighborhood social characteristics. To investigate this further, this study developed an approach for remotely estimating the degree of physical disorder (PD) in neighborhoods using structured audits of Google Street View imagery for participants in the AACES, a multi-site population-based study of Black women newly diagnosed with OC. We then assessed whether neighborhood disadvantage (ND) and PD were associated with overall survival. We fit Weibull accelerated failure time models to assess the association of both PD and ND with survival among 471 Black women with OC (n = 317 deaths). Both PD (event time ratio (ETR), 0.99; 95% CI, 0.98, 1.00) and Area Deprivation Index (ETR: 0.96, 95% CI: 0.94, 1.00) were associated with shorter survival. The results suggest that both physical and social neighborhood characteristics may impact survival in woman with OC, but further research is warranted.
Indexed as
Black or African AmericanNeighborhood CharacteristicsOvarian NeoplasmsResidence CharacteristicsAdultAgedFemaleHealth Status DisparitiesHumansMiddle AgedSocioeconomic FactorsUnited Statesneighborhood disadvantageovarian cancersurvival
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.
Neighborhood disorder and ovarian cancer survival in Black women. · full record | OpenQuestion