Evidence map›Paper›PMID 29397494›Full record

ArticleDigestive diseases and sciences2018

Adenoma Detection Rate Falls at the End of the Day in a Large Multi-site Sample.

Felippe O Marcondes, Rebecca A Gourevitch, Robert E Schoen, Seth D Crockett, Michele Morris, Ateev Mehrotra

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Digestive diseases and sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
0.8field-weighted citation impact, top 23% 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

20 citing papers in PubMed, 33 citations in OpenAlex.

  1. Trial
  2. Study on detection rate of polyps and adenomas in artificial-intelligence-aided colonoscopy.Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association
    Trial
  3. Observational
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  19. Effect of successive endoscopic procedures in polyp and adenoma detection rates: Too early is not always too good.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2020
    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

6 authors at 5 institutions in 1 country.

Felippe O MarcondesThe University of Texas Medical Branch at Galveston, 301 University Boulevard, Galveston, TX, 77550, USA. fomarcon@utmb.edu.
Rebecca A GourevitchDepartment of Health Care Policy, Harvard Medical School, 180 Longwood Ave, Boston, MA, 02115, USA.
Robert E SchoenDivision of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, Pittsburgh, PA, USA.
Seth D CrockettDivision of Gastroenterology and Hepatology, University of North Carolina School of Medicine, Cb 7080, Chapel Hill, NC, 27599, USA.
Michele MorrisDepartment of Biomedical Informatics, University of Pittsburgh, Room 437J, 5607 Baum Boulevard, Pittsburgh, PA, 15206-3701, USA.
Ateev MehrotraDepartment of Health Care Policy, Harvard Medical School, 180 Longwood Ave, Boston, MA, 02115, USA.ORCID http://orcid.org/0000-0003-2223-1582
University of Pittsburgh · USBeth Israel Deaconess Medical Center · USHarvard University · USThe University of Texas Medical Branch at Galveston · USUniversity of North Carolina at Chapel Hill · US

Funding

Measuring and Improving Colonoscopy Quality Using Natural Language ProcessingR01CA168959 · NCI · HARVARD MEDICAL SCHOOL · PI MEHROTRA, ATEEV · 2013 to 2016
$2.1M
NCI NIH HHS 5R01CA168959NCI NIH HHS R01 CA168959
6 · The paper itself

Abstract

backgroundThere is concern that mental and physical fatigue among endoscopists over the course of the day will lead to lower adenoma detection rate (ADR). There are mixed findings in the prior literature on whether such an association exists.

aimsThe aim of this study was to measure the association between the number of colonoscopies performed in a day and ADR and withdrawal time.

methodsWe analyzed 86,624 colonoscopy and associated pathology reports between October 2013 and September 2015 from 131 physicians at two medical centers. A previously validated natural language processing program was used to abstract relevant data. We identified the order of colonoscopies performed in the physicians' schedule and calculated the ADR and withdrawal time for each colonoscopy position.

resultsThe ADR for our overall sample was 29.9 (CI 29.6-30.2). The ADR for colonoscopies performed at the 9th + position was significantly lower than those at the 1st-4th or 5th-8th position, 27.2 (CI 25.8-28.6) versus 29.9 (CI 29.5-30.3), 30.2 (CI 29.6-30.9), respectively. Withdrawal time steadily decreased by colonoscopy position going from 11.6 (CI 11.4-11.9) min for the 1st colonoscopy to 9.6 (8.9-10.3) min for the 9th colonoscopy.

conclusionIn our study population, ADR and withdrawal time decrease by roughly 7 and 20%, respectively, by the end of the day. Our results imply that rather than mental or physical fatigue, lower ADR at the end of the day might be driven by endoscopists rushing.

Indexed as

ColonoscopyAdenomaClinical CompetenceColonic NeoplasmsFatigueHumansNatural Language ProcessingOperative TimePredictive Value of TestsReproducibility of ResultsRetrospective StudiesTime FactorsWorkloadAdenoma detection rateColonoscopyQuality measurement

Identifiers

PMID29397494
PMCPMC6715419
OpenAlexW2792666209

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.