Evidence map›Paper›PMID 26491056›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2015

Potential Biases Introduced by Conflating Screening and Diagnostic Testing in Colorectal Cancer Screening Surveillance.

Elizabeth A Becker, Derek M Griffith, Brady T West, Nancy K Janz, Ken Resnicow, Arden M Morris

Abstract read
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, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Conflating Colorectal Cancer Screening and Diagnostic Testing-Letter.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2016
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Elizabeth A BeckerInstitute for Health Research and Policy, University of Illinois at Chicago, Chicago, Illinois. eabecker@uic.edu.
Derek M GriffithThe Center for Medicine, Health, and Society, Vanderbilt University, Nashville, Tennessee.
Brady T WestInstitute for Social Research, University of Michigan, Ann Arbor, Michigan.
Nancy K JanzDepartment of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, Michigan.
Ken ResnicowDepartment of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, Michigan.
Arden M MorrisDepartment of Surgery, University of Michigan Health System, Ann Arbor, Michigan.

Funding

UIC CANCER PREVENTION &CONTROL RESEARCH TRAINING GRANTR25CA057699 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI FITZGIBBON, MARIAN L. · 1992 to 2017
$8.2M
PROMOTING ETHNIC DIVERSITY IN PUBLIC HEALTH TRAININGR25GM058641 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHATTERS, LINDA MARIE · 2000 to 2017
$7.4M
NCI NIH HHS R25 CA057699NCI NIH HHS R25-CA057699NIGMS NIH HHS R25 GM058641NIGMS NIH HHS R25-GM058641-13
6 · The paper itself

Abstract

backgroundScreening and postsymptomatic diagnostic testing are often conflated in cancer screening surveillance research. We examined the error in estimated colorectal cancer screening prevalence due to the conflation of screening and diagnostic testing.

methodsUsing data from the 2008 National Health Interview Survey, we compared weighted prevalence estimates of the use of all testing (screening and diagnostic) and screening in at-risk adults and calculated the overestimation of screening prevalence across sociodemographic groups.

resultsThe population screening prevalence was overestimated by 23.3%, and the level of overestimation varied widely across sociodemographic groups (median, 22.6%; mean, 24.8%). The highest levels of overestimation were in non-Hispanic white females (27.4%), adults ages 50-54 years (32.0%), and those with the highest socioeconomic vulnerability [low educational attainment (31.3%), low poverty ratio (32.5%), no usual source of health care (54.4%), and not insured (51.6%); all P < 0.001].

conclusionsWhen the impetus for testing was not included, colorectal cancer screening prevalence was overestimated, and patterns of overestimation often aligned with social and economic vulnerability. These results are of concern to researchers who use survey data from the Behavioral Risk Factor Surveillance System (BRFSS) to assess cancer screening behaviors, as it is currently not designed to distinguish diagnostic testing from screening. IMPACT: Surveillance research in cancer screening that does not consider the impetus for testing risks measurement error of screening prevalence, impeding progress toward improving population health. Ultimately, to craft relevant screening benchmarks and interventions, we must look beyond "what" and "when" and include "why."

Indexed as

AgedAged, 80 and overBehavioral Risk Factor Surveillance SystemBiasColorectal NeoplasmsEarly Detection of CancerFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsUnited States

Identifiers

PMID26491056
PMCPMC4670579

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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.