Evidence map›Paper›PMID 29971216›Full record

ArticleFrontiers in oncology2018

Predictors of Colorectal Cancer Screening in Two Underserved U.S. Populations: A Parallel Analysis.

Brittany M Bernardo, Amy L Gross, Gregory Young, Ryan Baltic, Sarah Reisinger, William J Blot, Electra Diane Paskett

Abstract read
In one paragraph

Article in Frontiers in oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Health Belief, Behavior Intention, and Health Behaviors Related to Colorectal Cancer Screening in Taiwan.International journal of environmental research and public health · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Brittany M BernardoComprehensive Cancer Center, The Ohio State University, Columbus, OH, United States.
Amy L GrossVanderbilt Institute for Clinical and Translational Research, International Epidemiology Field Station, Vanderbilt University Medical Center, Nashville, TN, United States.
Gregory YoungCenter for Biostatistics, The Ohio State University, Columbus, OH, United States.
Ryan BalticComprehensive Cancer Center, The Ohio State University, Columbus, OH, United States.
Sarah ReisingerComprehensive Cancer Center, The Ohio State University, Columbus, OH, United States.
William J BlotVanderbilt Institute for Clinical and Translational Research, International Epidemiology Field Station, Vanderbilt University Medical Center, Nashville, TN, United States.
Electra Diane PaskettComprehensive Cancer Center, The Ohio State University, Columbus, OH, United States.

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Jennifer A. Woyach · 1985 to 2026
$132.3M
Southern Community Cohort StudyR01CA092447 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BLOT, WILLIAM J., ZHENG, WEI · 2001 to 2015
$74.0M
Translational Analysis CoreP30DK058404 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RICHARD M. PEEK · 2002 to 2026
$29.9M
Southern Community Cohort StudyU01CA202979 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BLOT, WILLIAM J., SHRUBSOLE, MARTHA J. · 2016 to 2025
$22.0M
CBPR Strategies to Increase Colorectal Cancer Screening in Ohio AppalachiaR24MD002785 · NIMHD · OHIO STATE UNIVERSITY · PI PASKETT, ELECTRA D. · 2008 to 2012
$3.1M
NCI NIH HHS P30 CA016058NCI NIH HHS R01 CA092447NCI NIH HHS U01 CA202979NIDDK NIH HHS P30 DK058404NIMHD NIH HHS R24 MD002785
6 · The paper itself

Abstract

backgroundDespite declining colorectal cancer (CRC) incidence and mortality rates in the U.S., significant geographic and racial disparities in CRC death rates remain. Differences in guideline-concordant CRC screening rates may explain some of these disparities. We aim to assess individual and neighborhood-level predictors of guideline-concordant CRC screening within two cohorts of individuals located within CRC mortality geographic hotspot regions in the U.S.

methodsA total of 36,901 participants from the Southern Community Cohort Study and 4,491 participants from the Ohio Appalachia CRC screening study were included in this study. Self-reported date of last CRC screening was used to determine if the participant was within guidelines for screening. Logistic regression models were utilized to determine the association of individual-level predictors, neighborhood deprivation, and residence in hotspot regions on the odds of being within guidelines for CRC screening.

resultsLower household income, lack of health insurance, and being a smoker were each associated with lower odds of being within guidelines for CRC screening in both cohorts. Area-level associations were less evident, although up to 15% lower guideline adherence was associated with residence in neighborhoods of greater deprivation and in the Lower Mississippi Delta, one of the identified CRC mortality hotspots.

conclusionThese results reveal the adverse effects of lower area-level and individual socioeconomic status on adherence to CRC guideline screening.

Indexed as

correlates of screeningguideline colorectal cancer screeningguideline screeningneighborhood deprivationunderserved populations

Identifiers

PMID29971216
PMCPMC6018201

What OpenQuestion holds

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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.