Evidence map›Paper›PMID 29363535›Full record

Trial reportGut2019

Improved adenoma detection with Endocuff Vision: the ADENOMA randomised controlled trial.

Wee Sing Ngu, Roisin Bevan, Zacharias P Tsiamoulos, Paul Bassett, Zoë Hoare, Matthew D Rutter, Gayle Clifford, Nicola Totton, Thomas J Lee, Arvind Ramadas and 5 more

3 registry-linked trialsOpen access · hybridAbstract readComparative StudyMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Gut, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 50 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 5 pooled it
6.8field-weighted citation impact, top 2% 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.

NCT02552017 naunknown statusnot on this map

Accuracy of Detection Using ENdocuff Optimisation of Mucosal Abnormalities

TypeinterventionalSponsorSouth Tyneside and Sunderland NHS Foundation TrustRan2014 to 2016Enrolled1,772ConditionsColorectal Neoplasms, Colonic Polyps, AdenomaArmsEndocuff Vision
NCT03839277 nasuspendednot on this map

Adenoma Detection Rate Using Endocuff Vision in China

TypeinterventionalSponsorChanghai HospitalRan2019 to 2020Enrolled1,200ConditionsColorectal Neoplasms, Colonic Polyp, AdenomaArmsEndocuff Vision
NCT05141773 nacompletednot on this mapstarted 2022, after this paper: background citation

Computer-assisted Adenoma Detection Coloscopy With Endo-AID Artificial Intelligence System and Endocuff Versus Endocuff Assisted Colonoscopy: a Randomized Controlled Trial

TypeinterventionalSponsorHospital Universitario de CanariasRan2022 to 2023Enrolled696ConditionsAdenoma Detection RateArmsComputed adenoma detection system (CADe) plus endocuff, Endocuff
3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 5 syntheses or guidelines pooled it, 136 citations in OpenAlex.

  1. Pooled it
  2. Quality indicators for colonoscopy.Gastrointestinal endoscopy · 2024
    Guideline
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  20. Quality Indicators for Colonoscopy.The American journal of gastroenterology · 2024
    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

15 authors at 8 institutions in 1 country.

Wee Sing NguDepartment of Gastroenterology, South Tyneside NHS Foundation Trust, South Shields, UK.
Roisin BevanDepartment of Gastroenterology, North Tees and Hartlepool NHS Foundation Trust, Stockton, UK.
Zacharias P TsiamoulosDepartment of Gastroenterology, St Mark's Hospital, London, UK.
Paul BassettStatsconsultancy Ltd, Bucks, UK.
Zoë HoareNorth Wales Organisation for Randomised Trials in Health, Bangor University, Bangor, UK.
Matthew D RutterDepartment of Gastroenterology, North Tees and Hartlepool NHS Foundation Trust, Stockton, UK.
Gayle CliffordDepartment of Gastroenterology, South Tyneside NHS Foundation Trust, South Shields, UK.
Nicola TottonNorth Wales Organisation for Randomised Trials in Health, Bangor University, Bangor, UK.
Thomas J LeeDepartment of Gastroenterology, Northumbria NHS Trust, North Tyneside, UK.
Arvind RamadasDepartment of Gastroenterology, South Tees Hospitals NHS Foundation Trust, Middlesbrough, UK.
John G SilcockDepartment of Gastroenterology, County Durham and Darlington NHS Foundation Trust, Durham, UK.
John PainterDepartment of Gastroenterology, City Hospitals Sunderland NHS Foundation Trust, Sunderland, UK.
Laura J NeilsonDepartment of Gastroenterology, South Tyneside NHS Foundation Trust, South Shields, UK.
Brian P SaundersDepartment of Gastroenterology, St Mark's Hospital, London, UK.
Colin J ReesDepartment of Gastroenterology, South Tyneside NHS Foundation Trust, South Shields, UK.
Bangor University · GBNorth Tees and Hartlepool NHS Foundation Trust · GBSt Mark's Hospital · GBCounty Durham and Darlington NHS Foundation Trust · GBNorthumbria Healthcare NHS Foundation Trust · GBSouth Tees Hospitals NHS Foundation Trust · GBSouth Tyneside and Sunderland NHS Foundation Trust · GBSouth Tyneside District Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLow adenoma detection rates (ADR) are linked to increased postcolonoscopy colorectal cancer rates and reduced cancer survival. Devices to enhance mucosal visualisation such as Endocuff Vision (EV) may improve ADR. This multicentre randomised controlled trial compared ADR between EV-assisted colonoscopy (EAC) and standard colonoscopy (SC).

designPatients referred because of symptoms, surveillance or following a positive faecal occult blood test (FOBt) as part of the Bowel Cancer Screening Programme were recruited from seven hospitals. ADR, mean adenomas per procedure, size and location of adenomas, sessile serrated polyps, EV removal rate, caecal intubation rate, procedural time, patient experience, effect of EV on workload and adverse events were measured.

results1772 patients (57% male, mean age 62 years) were recruited over 16 months with 45% recruited through screening. EAC increased ADR globally from 36.2% to 40.9% (P=0.02). The increase was driven by a 10.8% increase in FOBt-positive screening patients (50.9% SC vs 61.7% EAC, P<0.001). EV patients had higher detection of mean adenomas per procedure, sessile serrated polyps, left-sided, diminutive, small adenomas and cancers (cancer 4.1% vs 2.3%, P=0.02). EV removal rate was 4.1%. Median intubation was a minute quicker with EAC (P=0.001), with no difference in caecal intubation rate or withdrawal time. EAC was well tolerated but caused a minor increase in discomfort on anal intubation in patients undergoing colonoscopy with no or minimal sedation. There were no significant EV adverse events.

conclusionEV significantly improved ADR in bowel cancer screening patients and should be used to improve colonoscopic detection. TRIAL REGISTRATION NUMBER: NCT02552017, Results; ISRCTN11821044, Results.

Indexed as

ColonoscopesAdenomaColonoscopyColorectal NeoplasmsDiagnosis, DifferentialEnglandEquipment DesignFemaleHumansMaleMass ScreeningMiddle AgedQuality Improvementcolonic adenomascolonoscopycolorectal adenomascolorectal cancercolorectal cancer screening

Identifiers

PMID29363535
PMCPMC6352411
OpenAlexW2784761718

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.