Evidence map›Paper›PMID 34944937›Full record

ArticleCancers2021

Disparities in Cervical Cancer Screening with HPV Test among Females with Diabetes in the Deep South.

Cassidi C McDaniel, Hayleigh H Hallam, Tiffany Cadwallader, Hee-Yun Lee, Chiahung Chou

Abstract read
In one paragraph

Article in Cancers, 2021. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
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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.

Cassidi C McDanielDepartment of Health Outcomes Research and Policy, Harrison School of Pharmacy, Auburn University, Auburn, AL 36849, USA.ORCID 0000-0001-6053-036X
Hayleigh H HallamDepartment of Health Outcomes Research and Policy, Harrison School of Pharmacy, Auburn University, Auburn, AL 36849, USA.
Tiffany CadwalladerDepartment of Health Outcomes Research and Policy, Harrison School of Pharmacy, Auburn University, Auburn, AL 36849, USA.
Hee-Yun LeeSchool of Social Work, The University of Alabama, Tuscaloosa, AL 35487, USA.ORCID 0000-0003-3499-6304
Chiahung ChouDepartment of Health Outcomes Research and Policy, Harrison School of Pharmacy, Auburn University, Auburn, AL 36849, USA.ORCID 0000-0002-0786-8182

Funding

NRSA Training CoreTL1TR003106 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SAAG, KENNETH G · 2019 to 2023
$3.7M
NCATS NIH HHS TL1 TR003106
6 · The paper itself

Abstract

backgroundDue to diabetes being linked with poorer cervical cancer prognosis, this study aimed to evaluate HPV testing behaviors among females with and without diabetes across the U.S. by geographic area in 2016, 2018, and 2020.

methodsThis cross-sectional study used the Behavioral Risk Factor Surveillance System (BRFSS) from 2016, 2018, and 2020. The study population included females aged 25-69 years old, stratified by self-reported diabetes status. The primary outcome measure was cervical cancer screening behavior, which was evaluated by self-reported HPV test uptake/receipt (yes/no).

resultsA total of 361,546 females from across the U.S. were sampled. Within the study population combined from all study years, the overall likelihood of receiving an HPV test was significantly lower among females with diabetes [37.95% (95% CI: 36.87-39.04)] compared to those without diabetes [46.21% (95% CI: 45.84-46.58)] (

conclusionsFemales with diabetes are screening with HPV tests less frequently than females without diabetes, and females living in the South, particularly states in the Deep South, report the lowest rates of HPV testing.

Indexed as

cancer screeningcervical cancerdiabeteshealth disparitiesHPV

Identifiers

PMID34944937
PMCPMC8699065

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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.