Evidence map›Paper›PMID 27725649›Full record

ArticleThe American journal of gastroenterology2016

Defining Benchmarks for Adenoma Detection Rate and Adenomas Per Colonoscopy in Patients Undergoing Colonoscopy Due to a Positive Fecal Immunochemical Test.

Robert J Hilsden, Ronald Bridges, Catherine Dube, S Elizabeth McGregor, Christopher Naugler, Sarah M Rose, Alaa Rostom, Steven J Heitman

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Article in The American journal of gastroenterology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Quality indicators for colonoscopy.Gastrointestinal endoscopy · 2024
    Guideline
  2. Trial
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  5. Quality Indicators for Colonoscopy.The American journal of gastroenterology · 2024
    Article
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  9. Standards of diagnostic colonoscopy for early-stage neoplasia: Recommendations by an Asian private group.Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society · 2019
    Article
  10. Review
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  12. Article
  13. Article
  14. Article
  15. Colorectal Cancer Screening in Asia.Current gastroenterology reports · 2017
    Review
  16. Article
  17. 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

8 authors at 3 institutions in 1 country.

Robert J HilsdenDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Ronald BridgesDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Catherine DubeUniversity of Ottawa, Ottawa, Ontario, Canada.
S Elizabeth McGregorPopulation, Public & Aboriginal Health, Alberta Health Services, Calgary, Alberta, Canada.
Christopher NauglerDepartment of Pathology and Laboratory Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Sarah M RoseResearch Facilitation, Alberta Health Services, Calgary, Alberta, Canada.
Alaa RostomUniversity of Ottawa, Ottawa, Ontario, Canada.
Steven J HeitmanDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
University of Calgary · CAAlberta Health Services · CAUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAlthough there is an accepted benchmark for adenoma detection rate (ADR) in average risk screening colonoscopy, a benchmark for ADR or the associated quality indicator, adenomas per colonoscopy (APC), for colonoscopies performed for a positive fecal immunochemical test (FIT+) has not been established. The purpose of this study was to propose methods for establishing a benchmark ADR and APC for FIT+ patients.

methodsIn this historical cohort study, we included 15,329 patients aged 50-74 years who underwent a colonoscopy at Alberta Health Services' Colon Cancer Screening Centre, Calgary, Canada, from 1 January 2014 to 30 June 2015 for either investigation of a positive FIT or average risk screening. Using meta-regression, we estimated for FIT+ patients the ADR and APC that corresponded to (Method #1: minimally acceptable) an ADR of 25% in average risk individuals, (Method #2: standard of care) the average ADR or APC in all FIT+ patients, and (Method #3: aspirational) the average FIT+ ADR or APC in colonoscopies performed by endoscopists with an ADR of ≥35% in average risk patients.

resultsAt least one adenoma was detected in 30% of average risk patients and 58% of FIT+ patients. The calculated benchmark FIT+ ADRs for the three methods were 55, 60, and 65%, respectively. The calculated benchmarks for FIT+ APC were 1.2, 1.4, and 1.7, respectively. To account for expected random variation in individual endoscopists' ADR or APC, we propose using the upper bound of the 95% confidence interval of an endoscopist's ADR or APC to determine if they fall below a given benchmark.

conclusionsWe have proposed methods of defining benchmarks for ADR and APC in FIT+ patients that go beyond the current "minimally acceptable" threshold currently recommended in average risk patients. These new thresholds represent results obtained by all peers and by a group of expert adenoma detectors defined in an independent patient cohort (average risk). Because the true adenoma burden in FIT+ patients could vary based on factors such as the threshold used to define a positive FIT, screening programs or endoscopy units may need to calculate their own benchmarks using local data.

Indexed as

AdenomaAgedAlbertaBenchmarkingCohort StudiesColonoscopyColorectal NeoplasmsEarly Detection of CancerFecesFemaleHumansImmunochemistryMaleMiddle Aged

Identifiers

PMID27725649
OpenAlexW2530933759

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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.