Evidence map›Paper›PMID 23629519›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2013

Gender differences in correlates of colorectal cancer screening among Black Medicare beneficiaries in Baltimore.

Kathryn A Martinez, Craig E Pollack, Darcy F Phelan, Diane Markakis, Lee Bone, Gary Shapiro, Jennifer Wenzel, Mollie Howerton, Lawrence Johnson, Mary A Garza and 1 more

Abstract readComparative Study
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
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  8. Review
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

11 authors.

Kathryn A MartinezNorth Campus Research Complex, 2800 Plymouth Road, Building 16, 4th Floor, Ann Arbor, MI 48109, USA. makathry@med.umich.edu
Craig E Pollack
Darcy F Phelan
Diane Markakis
Lee Bone
Gary Shapiro
Jennifer Wenzel
Mollie Howerton
Lawrence Johnson
Mary A Garza
Jean G Ford

Funding

Synthesis and MAPK Kinase Inhibitiory Activities in Prostate TumorsU54CA091409 · NCI · JOHNS HOPKINS UNIVERSITY · PI COFFEY, DONALD STRALEY · 2001 to 2010
$8.9M
TRAINING IN HEALTH SERVICES RESEARCHT32HS000029 · AHRQ · JOHNS HOPKINS UNIVERSITY · PI DY, SYDNEY MORSS · 1987 to 2024
$8.3M
Uncovering and Addressing Cultural Beliefs Behind Vaccine Racial Disparities P20MD006737 · NIMHD · UNIV OF MARYLAND, COLLEGE PARK · PI QUINN, SANDRA CROUSE, THOMAS, STEPHEN B. · 2012 to 2016
$5.9M
Training ProgramU54CA153710 · NCI · JOHNS HOPKINS UNIVERSITY · PI DOBS, ADRIAN S. · 2010 to 2015
$4.8M
A Network Analytic Approach to Modeling Variation in Prostate Cancer CareK07CA151910 · NCI · JOHNS HOPKINS UNIVERSITY · PI POLLACK, CRAIG EVAN · 2011 to 2015
$780k
African Americans and Colorectal Cancer: A Multilevel Model to Assess Factors forK01CA140358 · NCI · UNIV OF MARYLAND, COLLEGE PARK · PI GARZA, MARY A · 2010 to 2012
$392k
AHRQ HHS 5T32HS000029-25AHRQ HHS T32 HS000029NCI NIH HHS 5U54CA091409-10NCI NIH HHS K01 CA140358NCI NIH HHS K01CA140358NCI NIH HHS K07 CA151910NCI NIH HHS K07CA151910NCI NIH HHS U54 CA091409NCI NIH HHS U54 CA153710NCI NIH HHS U54CA153710NIMHD NIH HHS P20 MD006737
6 · The paper itself

Abstract

backgroundPrevious research has shown colorectal cancer (CRC) screening disparities by gender. Little research has focused primarily on gender differences among older Black individuals, and reasons for existing gender differences remain poorly understood.

methodsWe used baseline data from the Cancer Prevention and Treatment Demonstration Screening Trial. Participants were recruited from November 2006 to March 2010. In-person interviews were used to assess self-reported CRC screening behavior. Up-to-date CRC screening was defined as self-reported colonoscopy or sigmoidoscopy in the past 10 years or fecal occult blood testing in the past year. We used multivariable logistic regression to examine the association between gender and self-reported screening, adjusting for covariates. The final model was stratified by gender to examine factors differentially associated with screening outcomes for males and females.

resultsThe final sample consisted of 1,552 female and 586 male Black Medicare beneficiaries in Baltimore, Maryland. Males were significantly less likely than females to report being up-to-date with screening (77.5% vs. 81.6%, P = 0.030), and this difference was significant in the fully adjusted model (OR: 0.72; 95% confidence interval, 0.52-0.99). The association between having a usual source of care and receipt of cancer screening was stronger among males compared with females.

conclusionsAlthough observed differences in CRC screening were small, several factors suggest that gender-specific approaches may be used to promote screening adherence among Black Medicare beneficiaries. IMPACT: Given disproportionate CRC mortality between White and Black Medicare beneficiaries, gender-specific interventions aimed at increasing CRC screening may be warranted among older Black patients.

Indexed as

Early Detection of CancerAdenocarcinomaAgedAged, 80 and overBaltimoreBlack or African AmericanColonoscopyColorectal NeoplasmsFemaleFollow-Up StudiesHumansMaleMedicareOccult BloodPrognosisSex Factors

Identifiers

PMID23629519
PMCPMC3681887

What OpenQuestion holds

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LicenceTDM
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.