Evidence map›Paper›PMID 37444697›Full record

ArticleHealthcare (Basel, Switzerland)2023

Does the Intersectionality of Race/Ethnicity and Type 2 Diabetes Increase the Odds of a Cervical Cancer Diagnosis? A Nested Case-Control Study of a Florida Statewide Multisite EHR Database.

Rahma S Mkuu, Jaclyn M Hall, Zhanna Galochkina, Hee Deok Cho, Stephanie A S Staras, Ji-Hyun Lee, Yi Guo, Choeeta Chakrabarti, Sable Bowman Barrow, Selena Ortega and 4 more

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

14 authors at 4 institutions in 1 country.

Rahma S MkuuDepartment of Health Science, The University of Alabama, Tuscaloosa, AL 35487, USA.
Jaclyn M HallDepartment of Health Outcomes and Biomedical Informatics, The University of Florida, 2199 Mowry Road, Gainesville, FL 32611, USA.
Zhanna GalochkinaDivision of Quantitative Sciences, University of Florida Health Cancer Center, The University of Florida, 2033 Mowry Road, Gainesville, FL 32610, USA.
Hee Deok ChoDepartment of Health Outcomes and Biomedical Informatics, The University of Florida, 2199 Mowry Road, Gainesville, FL 32611, USA.
Stephanie A S StarasDepartment of Health Outcomes and Biomedical Informatics, The University of Florida, 2199 Mowry Road, Gainesville, FL 32611, USA.
Ji-Hyun LeeDepartment of Biostatistics, The University of Florida, 2004 Mowry Road, Gainesville, FL 32603, USA.
Yi GuoDepartment of Health Outcomes and Biomedical Informatics, The University of Florida, 2199 Mowry Road, Gainesville, FL 32611, USA.ORCID 0000-0003-0587-4105
Choeeta ChakrabartiDepartment of Anthropology, Florida State University, 2035 E Paul Dirac Drive Suite 206, Tallahassee, FL 32310, USA.
Sable Bowman BarrowDepartment of Health Outcomes and Biomedical Informatics, The University of Florida, 2199 Mowry Road, Gainesville, FL 32611, USA.
Selena OrtegaDepartment of Health Outcomes and Biomedical Informatics, The University of Florida, 2199 Mowry Road, Gainesville, FL 32611, USA.ORCID 0009-0001-6078-3671
Daniel M AveryCollege of Community Health Sciences, The University of Alabama, 211 Peter Bryce Boulevard, Tuscaloosa, AL 35401, USA.
John HigginbothamCollege of Community Health Sciences, The University of Alabama, 211 Peter Bryce Boulevard, Tuscaloosa, AL 35401, USA.ORCID 0000-0002-6447-5828
Jala LockhartDepartment of Health Science, The University of Alabama, Tuscaloosa, AL 35487, USA.
Elizabeth A ShenkmanDepartment of Health Outcomes and Biomedical Informatics, The University of Florida, 2199 Mowry Road, Gainesville, FL 32611, USA.
University of Florida Health · USUniversity of Alabama · USFlorida State University · USUniversity of Florida · US

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
NCATS NIH HHS UL1 TR001427
6 · The paper itself

Abstract

Cervical cancer and Type 2 Diabetes (T2D) share common demographic risk factors. Despite this, scarce research has examined the relationship between race/ethnicity, having T2D, and cervical cancer incidence. We analyzed statewide electronic health records data between 2012 and 2019 from the OneFlorida+ Data Trust. We created a 1:4 nested case-control dataset. Each case (patient with cervical cancer) was matched with four controls (patients without cervical cancer) without replacement by year of encounter, diagnosis, and age. We used conditional logistic regression to estimate the unadjusted and adjusted odds ratios (ORs) and 95% confidence intervals (CIs) to examine the association between race/ethnicity, T2D, and cervical cancer incidence. A total of 100,739 cases and 402,956 matched controls were identified. After adjusting for sociodemographic characteristics, non-Hispanic Black women with T2D had higher odds of cervical cancer compared with non-Hispanic White women with T2D (OR: 1.58, 95% CI 1.41-1.77). Living in a rural area, having Medicaid/Medicare insurance, and having high social vulnerability were associated with higher odds of having a cervical cancer diagnosis. Our findings imply the need to address the higher burden of cervical cancer diagnosis among non-Hispanic Black women with T2D and in underserved populations.

Indexed as

cervical cancerintersectionalityrace/ethnicitysocial vulnerabilitytype 2 diabetes

Identifiers

PMID37444697
PMCPMC10340302
OpenAlexW4382459834

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.