Evidence map›Paper›PMID 28866456›Full record

ArticleGastrointestinal endoscopy2018

Physician characteristics associated with higher adenoma detection rate.

Ateev Mehrotra, Michele Morris, Rebecca A Gourevitch, David S Carrell, Daniel A Leffler, Sherri Rose, Julia B Greer, Seth D Crockett, Andrew Baer, Robert E Schoen

Abstract read
In one paragraph

Article in Gastrointestinal endoscopy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
3.7field-weighted citation impact, top 5% 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.

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

46 citing papers in PubMed, 80 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Adenoma detection rateTranslational gastroenterology and hepatology · 2023
    Article
  17. Article
  18. Adenoma Detection Rate on Colonoscopy: an Argument for Focused Screening?Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2022
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 1 country.

Ateev MehrotraHarvard Medical School, Boston, Massachusetts, USA; Division of General Internal Medicine and Primary Care, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Michele MorrisDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Rebecca A GourevitchHarvard Medical School, Boston, Massachusetts, USA.
David S CarrellKaiser Permanente of Washington Health Research Institute (formerly Group Health Research Institute), Seattle, Washington, USA.
Daniel A LefflerDivision of Gastroenterology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Sherri RoseHarvard Medical School, Boston, Massachusetts, USA.
Julia B GreerDivision of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Seth D CrockettDivision of Gastroenterology and Hepatology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
Andrew BaerKaiser Permanente of Washington Health Research Institute (formerly Group Health Research Institute), Seattle, Washington, USA.
Robert E SchoenDivision of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Beth Israel Deaconess Medical Center · USHarvard University · USKaiser Permanente Washington Health Research Institute · USUniversity of Pittsburgh Medical Center · USUniversity of North Carolina at Chapel Hill · USUniversity of Pittsburgh · US

Funding

North Carolina Translational & Clinical Sciences Institute (NC TraCS)KL2TR001109 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, CAREY, TIMOTHY S · 2013 to 2017
$5.7M
Measuring and Improving Colonoscopy Quality Using Natural Language ProcessingR01CA168959 · NCI · HARVARD MEDICAL SCHOOL · PI MEHROTRA, ATEEV · 2013 to 2016
$2.1M
NCATS NIH HHS KL2 TR001109NCI NIH HHS R01 CA168959
6 · The paper itself

Abstract

BACKGROUND AND

aimsPatients who receive a colonoscopy from a physician with a low adenoma detection rate (ADR) are at higher risk of subsequent colorectal cancer. It is unclear what drives the variation across physicians in ADR. We describe physician characteristics associated with higher ADR.

methodsIn this retrospective cohort study a natural language processing system was used to analyze all outpatient colonoscopy examinations and their associated pathology reports from October 2013 to September 2015 for adults age 40 years and older across physicians from 4 diverse health systems. Physician performance on ADR was risk adjusted for differences in patient population and procedure indication. Our sample included 201 physicians performing at least 30 colonoscopy examinations during the study period, totaling 104,618 colonoscopy examinations.

resultsThe mean ADR was 33.2% (range, 6.3%-58.7%). Higher ADR was seen among female physicians (4.2 percentage points higher than men, P = .020), gastroenterologists (9.4 percentage points higher than nongastroenterologists, P < .001), and physicians with ≤9 years since their residency completion (6.0 percentage points higher than physicians who have had 27-51 years of practice, P = .004).

conclusionsGastroenterologists, female physicians, and more recently trained physicians had higher performance in adenoma detection.

Indexed as

AdenomaAdultAgedClinical CompetenceCohort StudiesColonoscopyColorectal NeoplasmsFemaleHumansMaleMiddle AgedNatural Language ProcessingPhysiciansRegistriesRetrospective Studies

Identifiers

PMID28866456
PMCPMC5817032
OpenAlexW2750953296

What OpenQuestion holds

Textmetadata
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.