Evidence map›Paper›PMID 29118558›Full record

ArticleAnnals of gastroenterology2017

Cap-assisted colonoscopy versus standard colonoscopy: is the cap beneficial? A meta-analysis of randomized controlled trials.

Fazia A Mir, Christine Boumitri, Imran Ashraf, Michelle L Matteson-Kome, Douglas L Nguyen, Srinivas R Puli, Matthew L Bechtold

Registry-linked trialAbstract read
In one paragraph

Article in Annals of gastroenterology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06715384 (Performance Evaluation of a Computer-aided Measuring System for Colorectal Polyp Size Measurement), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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.

NCT06715384 narecruitingnot on this mapstarted 2024, after this paper: background citation

Performance Evaluation of a Computer-aided Measuring System for Colorectal Polyp Size Measurement: a Prospective Study

TypeinterventionalSponsorChanghai HospitalRan2024 to 2025Enrolled168ConditionsColorectal Polyp, Colorectal AdenomaArmsPolyp size measurement using autonomous AI measurement or AI-assisted human measurement with the CAM system
3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Optimizing detection and resection of colorectal polyps.Translational gastroenterology and hepatology · 2026
    Review
  5. Review
  6. Article
  7. Article
  8. Unlocking quality in endoscopic mucosal resection.World journal of gastrointestinal endoscopy · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. The Use of Attachment Devices to Aid in Adenoma Detection.Current treatment options in gastroenterology · 2020
    Review
  13. Observational
  14. Review
  15. 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

7 authors.

Fazia A MirDepartment of Medicine, University of Missouri, Columbia (Fazia A. Mir, Christine Boumitri, Imran Ashraf, Michelle L. Matteson-Kome, Matthew L. Bechtold), USA.
Christine BoumitriDepartment of Medicine, University of Missouri, Columbia (Fazia A. Mir, Christine Boumitri, Imran Ashraf, Michelle L. Matteson-Kome, Matthew L. Bechtold), USA.
Imran AshrafDepartment of Medicine, University of Missouri, Columbia (Fazia A. Mir, Christine Boumitri, Imran Ashraf, Michelle L. Matteson-Kome, Matthew L. Bechtold), USA.
Michelle L Matteson-KomeDepartment of Medicine, University of Missouri, Columbia (Fazia A. Mir, Christine Boumitri, Imran Ashraf, Michelle L. Matteson-Kome, Matthew L. Bechtold), USA.
Douglas L NguyenDepartment of Medicine, University of California, Irvine (Douglas L. Nguyen), USA.
Srinivas R PuliDepartment of Medicine, University of Illinois, Peoria (Srinivas R. Puli), USA.
Matthew L BechtoldDepartment of Medicine, University of Missouri, Columbia (Fazia A. Mir, Christine Boumitri, Imran Ashraf, Michelle L. Matteson-Kome, Matthew L. Bechtold), USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn an effort to improve visualization during colonoscopy, a transparent plastic cap or hood may be placed on the end of the colonoscope. Cap-assisted colonoscopy (CAC) has been studied and is thought to improve polyp detection. Numerous studies have been conducted comparing pertinent clinical outcomes between CAC and standard colonoscopy (SC) with inconsistent results.

methodsNumerous databases were searched in November 2016. Only randomized controlled trials (RCTs) involving adult subjects that compared CAC to SC were included. Outcomes of total colonoscopy time, time to cecum, cecal intubation rate, terminal ileum intubation rate, polyp detection rate (PDR), and adenoma detection rate (ADR) were analyzed in terms of odds ratio (OR) or mean difference (MD) with fixed effect and random effects models.

resultsFive hundred eighty-nine articles and abstracts were discovered. Of these, 23 RCTs (n=12,947) were included in the analysis. CAC showed statistically significant superiority in total colonoscopy time (MD -1.51 min; 95% confidence interval [CI] -2.67 to -0.34; P<0.01) and time to cecum (MD -0.82 min; 95%CI -1.20 to -0.44; P<0.01) compared to SC. CAC also showed better PDR (OR 1.17; 95%CI 1.06-1.29; P<0.01) but not ADR (OR 1.11; 95%CI 0.95-1.30; P=0.20). In contrast, on sensitivity analysis, ADR was better with CAC. Terminal ileum intubation and cecal intubation rates demonstrated no significant difference between the two groups (P=0.11 and P=0.73, respectively).

conclusionsThe use of a transparent cap during colonoscopy improves PDR while reducing procedure times. ADR may improve in cap-assisted colonoscopy but further studies are required to confirm this.

Indexed as

Capcolonoscopyoutcomespolyp detection

Identifiers

PMID29118558
PMCPMC5670283

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.