Evidence map›Paper›PMID 25996988›Full record

ArticlePreventing chronic disease2015

Colonoscopy screening among US adults aged 40 or older with a family history of colorectal cancer.

Meng-Han Tsai, Sudha Xirasagar, Yi-Jhen Li, Piet C de Groen

Registry-linked trialOpen access · diamondAbstract read
In one paragraph

Article in Preventing chronic disease, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06242197 (Comparing the Effectiveness of Written Advice VS. Standard Verbal Advice in Transferring Knowledge to First Degree Relatives of Colorectal Cancer Patients), which is not on this map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 14% 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.

NCT06242197 nacompletednot on this mapstarted 2022, after this paper: background citation

Comparing the Effectiveness of Written Advice VS. Standard Verbal Advice in Transferring Knowledge to First Degree Relatives of Colorectal Cancer Patients

TypeinterventionalSponsorRamathibodi HospitalRan2022 to 2024Enrolled180ConditionsColorectal CancerArmswritten advice
3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  12. Review
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  14. Article
  15. Comparison of Tissue-Based Molecular Markers in Younger versus Older Patients with Colorectal Neoplasia.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  16. Review
  17. Evidenced-Based Screening Strategies for a Positive Family History.Gastrointestinal endoscopy clinics of North America · 2020
    Review
  18. Early-onset colorectal cancer: initial clues and current views.Nature reviews. Gastroenterology & hepatology · 2020
    Review
  19. Article
  20. 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

4 authors at 2 institutions in 1 country.

Meng-Han TsaiUniversity of South Carolina, Columbia, South Carolina.
Sudha XirasagarDepartment of Health Services Policy and Management, University of South Carolina, Arnold School of Public Health, 915 Greene St, Room 352, Columbia, SC 29208. Email: sxirasagar@sc.edu.
Yi-Jhen LiUniversity of South Carolina, Columbia, South Carolina.
Piet C de GroenMayo Clinic College of Medicine, Rochester, Minnesota.
University of South Carolina · USMayo Clinic · US

Funding

Reducing cancer disparities: Incident cancer after colonoscopies by primary careR15CA156098 · NCI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI XIRASAGAR, SUDHA · 2011 to 2011
$319k
NCI NIH HHS 1R15CA156098-01NCI NIH HHS R15 CA156098
6 · The paper itself

Abstract

introductionColonoscopy screening reduces colorectal cancer (CRC) incidence and mortality. CRC screening is recommended at age 50 for average-risk people. Screening of first-degree relatives of CRC patients is recommended to begin at age 40 or 10 years before the age at diagnosis of the youngest relative diagnosed with CRC. CRC incidence has increased recently among younger Americans while it has declined among older Americans. The objective of this study was to determine whether first-degree relatives of CRC patients are being screened according to recommended guidelines.

methodsWe studied colonoscopy screening rates among the US population reporting a CRC family history using 2005 and 2010 National Health Interview Survey data.

resultsOf 26,064 study-eligible respondents, 2,470 reported a CRC family history; of those with a family history, 45.6% had a colonoscopy (25.2% in 2005 and 65.8% 2010). The colonoscopy rate among first-degree relatives aged 40 to 49 in 2010 (38.3%) was about half that of first-degree relatives aged 50 or older (69.7%). First-degree relatives were nearly twice as likely as nonfirst-degree relatives to have a colonoscopy (adjusted odds ratio [AOR], 1.7; 95% confidence interval, 1.5-1.9), but those aged 40 to 49 were less likely to have a colonoscopy than those in older age groups (AOR, 2.6 for age 50-64; AOR, 3.6 for age ≥65). Interactions with age, insurance, and race/ethnicity were not significant. Having health insurance tripled the likelihood of screening.

conclusionDespite a 5-fold increase in colonoscopy screening rates since 2005, rates among first-degree relatives younger than the conventional screening age have lagged. Screening promotion targeted to this group may halt the recent rising trend of CRC among younger Americans.

Indexed as

AdultAgedColonoscopyColorectal NeoplasmsCross-Sectional StudiesEarly Detection of CancerEthnicityFamily CharacteristicsFemaleHealth SurveysHumansInsurance CoverageMaleMass ScreeningMiddle AgedSurveys and Questionnaires

Identifiers

PMID25996988
PMCPMC4454413
OpenAlexW1483685919

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.