Evidence map›Paper›PMID 27631254›Full record

Trial reportMedicine2016

The efficacy of cap-assisted colonoscopy performed by a single endoscopist in patients after colorectal resection.

Im-Kyung Kim, Jeonghyun Kang, Seung Hyuk Baik, Kang Young Lee, Seung-Kook Sohn

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 88% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 2 institutions in 1 country.

Im-Kyung KimDepartment of Surgery, Gangnam Severance Hospital Department of Surgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Jeonghyun Kang
Seung Hyuk Baik
Kang Young Lee
Seung-Kook Sohn
Gangnam Severance Hospital · KRSeverance Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of a transparent cap is regarded as a simple method to obtain better outcomes compared with standard colonoscopy. In this study, we investigated whether cap-assisted colonoscopy can improve the quality of procedure-related outcomes in patients with a history of colorectal resection.

methodsThis study was designed as a prospective, randomized, controlled trial conducted at a single tertiary center by a single endoscopist (Kang J.). A total 183 patients after colorectal resection due to primary colorectal cancer were enrolled and 1:1 randomized to undergo either cap-assisted colonoscopy (CAP group) or standard colonoscopy (non-CAP group). The primary endpoint was the comparison of cecal intubation time between the 2 groups.

resultsThe mean cecal intubation time of the CAP group (n = 89) was significantly shorter than that of the non-CAP group (n = 89) (538 seconds vs 677 seconds, P = 0.024). In the CAP group, the endoscopist performed faster intubation than average more often compared with the non-CAP group (71.9% vs 57.3%). In regard to moving average curve, the CAP group showed a gentle slope during the learning period, while the non-CAP group showed a steep decrease.

conclusionThe cap-assisted colonoscopy could reduce cecal intubation time and achieve more frequent faster intubation compared with standard colonoscopy in patients after colorectal resection.

Indexed as

AgedColonoscopyColorectal NeoplasmsFemaleHumansMaleMiddle AgedNeoplasm Recurrence, LocalProspective Studies

Identifiers

PMID27631254
PMCPMC5402597
OpenAlexW2519215246

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

None linked

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.