Evidence map›Paper›PMID 28957445›Full record

Trial reportPloS one2017

Development and validation of a prediction model for adenoma detection during screening and surveillance colonoscopy with comparison to actual adenoma detection rates.

Eelco C Brand, Julia E Crook, Colleen S Thomas, Peter D Siersema, Douglas K Rex, Michael B Wallace

Registry-linked trialOpen access · goldAbstract readComparative StudyMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02325635 (A Prospective Randomized Controlled Trial of an Endoscopic Quality Improvement Project-2), which is not on this map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
0.4field-weighted citation impact, top 36% 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.

NCT02325635 nacompletednot on this map

A Prospective Randomized Controlled Trial of an Endoscopic Quality Improvement Project-2 (EQUIP-2) to Improve Adenoma Detection in Screening and Surveillance Colonoscopy

TypeinterventionalSponsorMayo ClinicRan2013 to 2015Enrolled10ConditionsColon PolypsArmsEducational Training
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Quality indicators for colonoscopy.Gastrointestinal endoscopy · 2024
    Guideline
  2. Pooled it
  3. Article
  4. Quality Indicators for Colonoscopy.The American journal of gastroenterology · 2024
    Article
  5. Key quality indicators in colonoscopy.Gastroenterology report · 2023
    Review
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 4 institutions in 2 countries.

Eelco C BrandDepartment of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida, United States of America.ORCID http://orcid.org/0000-0002-5195-0562
Julia E CrookDivision of Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, Florida, United States of America.
Colleen S ThomasDivision of Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, Florida, United States of America.
Peter D SiersemaDepartment of Gastroenterology and Hepatology, Radboud University Medical Center, Nijmegen, The Netherlands.
Douglas K RexDepartment of Gastroenterology and Hepatology, Indiana University Medical Center, Indianapolis, Indiana, United States of America.
Michael B WallaceDepartment of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida, United States of America.
Jacksonville College · USWinnMed · USRadboud University Nijmegen · NLUniversity Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe adenoma detection rate (ADR) varies widely between physicians, possibly due to patient population differences, hampering direct ADR comparison. We developed and validated a prediction model for adenoma detection in an effort to determine if physicians' ADRs should be adjusted for patient-related factors. MATERIALS AND

methodsScreening and surveillance colonoscopy data from the cross-sectional multicenter cluster-randomized Endoscopic Quality Improvement Program-3 (EQUIP-3) study (NCT02325635) was used. The dataset was split into two cohorts based on center. A prediction model for detection of ≥1 adenoma was developed using multivariable logistic regression and subsequently internally (bootstrap resampling) and geographically validated. We compared predicted to observed ADRs.

resultsThe derivation (5 centers, 35 physicians, overall-ADR: 36%) and validation (4 centers, 31 physicians, overall-ADR: 40%) cohort included respectively 9934 and 10034 patients (both cohorts: 48% male, median age 60 years). Independent predictors for detection of ≥1 adenoma were: age (optimism-corrected odds ratio (OR): 1.02; 95%-confidence interval (CI): 1.02-1.03), male sex (OR: 1.73; 95%-CI: 1.60-1.88), body mass index (OR: 1.02; 95%-CI: 1.01-1.03), American Society of Anesthesiology physical status class (OR class II vs. I: 1.29; 95%-CI: 1.17-1.43, OR class ≥III vs. I: 1.57; 95%-CI: 1.32-1.86), surveillance versus screening (OR: 1.39; 95%-CI: 1.27-1.53), and Hispanic or Latino ethnicity (OR: 1.13; 95%-CI: 1.00-1.27). The model's discriminative ability was modest (C-statistic in the derivation: 0.63 and validation cohort: 0.60). The observed ADR was considerably lower than predicted for 12/66 (18.2%) physicians and 2/9 (22.2%) centers, and considerably higher than predicted for 18/66 (27.3%) physicians and 4/9 (44.4%) centers.

conclusionThe substantial variation in ADRs could only partially be explained by patient-related factors. These data suggest that ADR variation could likely also be due to other factors, e.g. physician or technical issues.

Indexed as

Models, TheoreticalAdenomaAgedCohort StudiesColonoscopyColorectal NeoplasmsCross-Sectional StudiesFemaleHumansMaleMiddle Aged

Identifiers

PMID28957445
PMCPMC5619799
OpenAlexW2758496413

What OpenQuestion holds

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LicenceCC0
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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.