Evidence map›Paper›PMID 29429013›Full record

ArticleCancer causes & control : CCC2018

Demographic, presentation, and treatment factors and racial disparities in ovarian cancer hospitalization outcomes.

Tomi F Akinyemiju, Gurudatta Naik, Kemi Ogunsina, Daniel T Dibaba, Neomi Vin-Raviv

Open access · greenAbstract read
In one paragraph

Article in Cancer causes & control : CCC, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
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

8 citing papers in PubMed, 11 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Tomi F AkinyemijuDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA. tomiakin@uky.edu.
Gurudatta NaikDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA.
Kemi OgunsinaDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA.
Daniel T DibabaDepartment of Epidemiology, University of Kentucky College of Public Health, Lexington, KY, USA.
Neomi Vin-RavivUniversity of Northern Colorado Cancer Rehabilitation Institute, Greeley, CO, USA.
University of Alabama at Birmingham · USUniversity of Kentucky · USUniversity of Northern Colorado · US

Funding

NIMHD NIH HHS L60 MD010862
6 · The paper itself

Abstract

backgroundThis study examines whether racial disparities in hospitalization outcomes persist between African-American and White women with ovarian cancer after matching on demographic, presentation, and treatment factors.

methodsUsing data from the Nationwide Inpatient Sample database, 5,164 African-American ovarian cancer patients were sequentially matched with White patients on demographic (e.g., age, income), presentation (e.g., stage, comorbidities), and treatment (e.g., surgery, radiation) factors. Racial differences in-hospital length of stay, post-operative complications, and in-hospital mortality were evaluated using conditional logistic regression models.

resultsWhite ovarian cancer patients had relatively higher odds of post-operative complications when matched on demographics (OR 1.35, 95% CI 1.05, 1.74), and presentation (OR 1.28, 95% CI 1.00, 1.65) but not when additionally matched on treatment (OR 1.03, 95% CI 0.78, 1.35). African-American patients had longer in-hospital length of stay (6.96 ± 7.21 days) compared with White patients when matched on demographics (6.37 ± 7.07 days), presentation (6.48 ± 7.16 days), and treatment (6.53 ± 7.59 days). Compared with African-American patients, White patients experienced lower odds of in-hospital mortality when matched on demographics (OR 0.78, 95% CI 0.66, 0.92), but this disparity was no longer significant when additionally matched on presentation (OR 0.88, 95% CI 0.75, 1.04) and treatment (OR 0.95, 95% CI 0.81, 1.12).

conclusionRacial disparities in ovarian cancer hospitalization outcomes persisted after adjusting for demographic and presentation factors; however these differences were eliminated after additionally accounting for treatment factors. More studies are needed to determine the factors driving racial differences in ovarian cancer treatment in otherwise similar patient populations.

Indexed as

Healthcare DisparitiesAdultAgedBlack or African AmericanFemaleHospitalizationHumansLogistic ModelsMiddle AgedOdds RatioOvarian NeoplasmsTreatment OutcomeUnited StatesWhite PeopleDisparityHospitalizationMatchingMortalityOutcomesOvarian cancer

Identifiers

PMID29429013
PMCPMC6080617
OpenAlexW2794411890

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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.