Evidence map›Paper›PMID 29204060›Full record

Observational studyWorld journal of gastroenterology2017

Post-colonoscopy colorectal cancer rate in the era of high-definition colonoscopy.

Mineo Iwatate, Tomoyuki Kitagawa, Yasumi Katayama, Naohiko Tokutomi, Shinichi Ban, Santa Hattori, Noriaki Hasuike, Wataru Sano, Yasushi Sano, Masaya Tamano

Registry-linked trialOpen access · hybridAbstract readObservational Study
In one paragraph

Observational study in World journal 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 NCT04482452 (Percentage Visualized Mucosa as a Marker for the Quality of Colonoscopy), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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.

NCT04482452 unknown statusnot on this mapstarted 2020, after this paper: background citation

Percentage Visualized Mucosa as a Marker for the Quality of Colonoscopy

TypeobservationalSponsorInsel Gruppe AG, University Hospital BernRan2020 to 2022Enrolled500ConditionsColonoscopyArmsColonoscopy
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Detection of colorectal adenomas with texture and color enhancement imaging: Multicenter observational study.Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society · 2023
    Observational
  5. The Incidence, Distribution and Clinicopathology of Missed Colorectal Cancer After Diagnostic Colonoscopy.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2021
    Article
  6. Serrated lesions: A challenging enemy.World journal of gastroenterology · 2021
    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

10 authors at 1 institution in 1 country.

Mineo IwatateGastrointestinal Center and Institute of Minimally-Invasive Endoscopic Care, Sano Hospital, Kobe, Hyogo 655-0031, Japan.
Tomoyuki KitagawaDepartment of Gastroenterology, Dokkyo Medical University Koshigaya Hospital, Koshigaya, Saitama 343-8555, Japan.
Yasumi KatayamaDepartment of Gastroenterology, Dokkyo Medical University Koshigaya Hospital, Koshigaya, Saitama 343-8555, Japan.
Naohiko TokutomiDepartment of Gastroenterology, Dokkyo Medical University Koshigaya Hospital, Koshigaya, Saitama 343-8555, Japan.
Shinichi BanDepartment of Pathology, Dokkyo Medical University Koshigaya Hospital, Koshigaya, Saitama 343-8555, Japan.
Santa HattoriGastrointestinal Center and Institute of Minimally-Invasive Endoscopic Care, Sano Hospital, Kobe, Hyogo 655-0031, Japan.
Noriaki HasuikeGastrointestinal Center and Institute of Minimally-Invasive Endoscopic Care, Sano Hospital, Kobe, Hyogo 655-0031, Japan.
Wataru SanoGastrointestinal Center and Institute of Minimally-Invasive Endoscopic Care, Sano Hospital, Kobe, Hyogo 655-0031, Japan.
Yasushi SanoGastrointestinal Center and Institute of Minimally-Invasive Endoscopic Care, Sano Hospital, Kobe, Hyogo 655-0031, Japan.
Masaya TamanoDepartment of Gastroenterology, Dokkyo Medical University Koshigaya Hospital, Koshigaya, Saitama 343-8555, Japan.
Dokkyo Medical University Saitama Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate the post-colonoscopy colorectal cancer (PCCRC) rate for high-definition (HD) colonoscopy compared with that for standard-definition colonoscopy reported previously.

methodsUsing medical records at Sano Hospital (SH) and Dokkyo Medical University Koshigaya Hospital (DMUKH), we retrospectively obtained data on consecutive patients diagnosed as having CRC between January 2010 and December 2015. The definition of PCCRC was diagnosis of CRC between 7 and 36 mo after initial high-definition colonoscopy that had detected no cancer, and patients were divided into a PCCRC group and a non-PCCRC group. The primary outcome was the rate of PCCRC for HD colonoscopy. The secondary outcomes were factors associated with PCCRC and possible reason for occurrence of early and advanced PCCRC.

resultsAmong 892 CRC patients, 11 were diagnosed as having PCCRC and 881 had non-PCCRC. The PCCRC rate was 1.7% (8/471) at SH and 0.7% (3/421) at DMUKH. In comparison with the non-PCCRC group, the PCCRC group had a significantly higher preponderance of smaller tumors (39 mm

conclusionThe PCCRC rate for HD colonoscopy was 0.7%-1.7%, being lower than that for standard-definition colonoscopy (1.8%-9.0%) reported previously employing the same methodology.

Indexed as

AgedAged, 80 and overColonoscopyColorectal NeoplasmsFemaleHumansJapanMaleMiddle AgedRetrospective StudiesAssociated factorHigh-definitionPossible explanationPost-colonoscopy colorectal cancerPost-colonoscopy colorectal cancer rate

Identifiers

PMID29204060
PMCPMC5698253
OpenAlexW2767600393

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.