Evidence map›Paper›PMID 32390706›Full record

Trial reportWorld journal of gastroenterology2020

Retrograde inspection

Timo Rath, Lukas Pfeifer, Clemens Neufert, Andreas Kremer, Moritz Leppkes, Arthur Hoffman, Markus F Neurath, Steffen Zopf

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

Trial report in World journal of gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06186778 (The Impact of Repeated Colonoscopic Insert Method on the Detection Rate of Adenomas in the Sigmoid Colon), which is not on this map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 37% 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.

NCT06186778 nacompletednot on this mapstarted 2024, after this paper: background citation

The Impact of Repeated Colonoscopic Insert Method on the Detection Rate of Adenomas in the Sigmoid Colon

TypeinterventionalSponsorJianning YaoRan2024 to 2024Enrolled650ConditionsColorectal PolypArmssecondary colonoscopy, conventional colonoscopy
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Improving polyp detection at colonoscopy: Non-technological techniques.World journal of gastrointestinal endoscopy · 2023
    Review
  4. 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

8 authors at 3 institutions in 1 country.

Timo RathDepartment of Internal Medicine 1, Division of Gastroenterology, Ludwig Demling Endoscopy Center of Excellence, Friedrich-Alexander-University, Erlangen Nuernberg, Erlangen 91054, Germany. timo.rath@uk-erlangen.de.
Lukas PfeiferDepartment of Internal Medicine 1, Division of Gastroenterology, Ludwig Demling Endoscopy Center of Excellence, Friedrich-Alexander-University, Erlangen Nuernberg, Erlangen 91054, Germany.
Clemens NeufertDepartment of Internal Medicine 1, Division of Gastroenterology, Ludwig Demling Endoscopy Center of Excellence, Friedrich-Alexander-University, Erlangen Nuernberg, Erlangen 91054, Germany.
Andreas KremerDepartment of Internal Medicine 1, Division of Gastroenterology, Ludwig Demling Endoscopy Center of Excellence, Friedrich-Alexander-University, Erlangen Nuernberg, Erlangen 91054, Germany.
Moritz LeppkesDepartment of Internal Medicine 1, Division of Gastroenterology, Ludwig Demling Endoscopy Center of Excellence, Friedrich-Alexander-University, Erlangen Nuernberg, Erlangen 91054, Germany.
Arthur HoffmanDepartment of Internal Medicine, Division of Gastroenterology, Klinikum Aschaffenburg, Aschaffenburg 63739, Germany.
Markus F NeurathDepartment of Internal Medicine 1, Division of Gastroenterology, Ludwig Demling Endoscopy Center of Excellence, Friedrich-Alexander-University, Erlangen Nuernberg, Erlangen 91054, Germany.
Steffen ZopfDepartment of Internal Medicine, Division of Gastroenterology, Klinikum Fürth, Fürth 90766, Germany.
Friedrich-Alexander-Universität Erlangen-Nürnberg · DEKlinikum Aschaffenburg · DEKlinikum Fürth · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe adenoma detection rate (ADR) is inversely associated with the incidence of interval colorectal cancer and serves as a benchmark quality criterion during screening colonoscopy. However, adenoma miss rates reach up to 26% and studies have shown that a second inspection of the right colon in retroflected view (RFV) can increase ADR.

aimTo assess whether inspection of the whole colon in RFV compared to standard forward view (SFV) can increase ADR.

methodsPatients presenting for screening or surveillance colonoscopy were invited to participate in this randomized controlled trial and randomized into two arms. In RFV arm colonoscopy was initially performed with SFV, followed by a second inspection of the whole colon in RFV. In the SFV arm first withdrawal was performed with SFV, followed by a second inspection of the whole colon again with SFV. Number, size and morphology of polyps found during first and second inspection in each colonic segment were recorded and all polyps were removed and sent for histopathology in separate containers.

resultsTwo hundred and five patients were randomly assigned to the RFV (

conclusionSecond inspection of the whole colon leads to increased adenoma detection with no differences between SFV and RFV. Hence, increased detection is most likely a feature of the second inspection itself but not of the inspection mode.

Indexed as

AdenomaAdolescentAdultAgedAged, 80 and overColonColonoscopyColorectal NeoplasmsEarly Detection of CancerFemaleHumansIntestinal MucosaMaleMass ScreeningMiddle AgedYoung AdultAdenomaAdenoma detection rateColonoscopyColorectal cancer

Identifiers

PMID32390706
PMCPMC7201142
OpenAlexW3022505312

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.