Evidence map›Paper›PMID 30377524›Full record

ReviewAnnals of medicine and surgery (2012)2018

Does Hyoscine improve polyp detection rate during colonoscopy? Systematic Review & meta-analysis of randomized clinical trials.

Khalid Hureibi, Pradip Abraham, Osama Alsunidar, Charles Evans, Kai Leong, Ling Wong

Open access · diamondAbstract readReview
In one paragraph

Review in Annals of medicine and surgery (2012), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 84% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 2 countries.

Khalid HureibiUniversity Hospital, Coventry, UK.
Pradip AbrahamUniversity Hospital, Coventry, UK.
Osama AlsunidarUniversity of Science and Technology Hospital, Sana'a, Yemen.
Charles EvansUniversity Hospital, Coventry, UK.
Kai LeongUniversity Hospital, Coventry, UK.
Ling WongUniversity Hospital, Coventry, UK.
University Hospital Coventry · GBUniversity of Science and Technology · YE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivePublished studies have shown conflicting results regarding the benefit of Hyoscine Butylbrmoide use during colonoscopy in polyp and adenoma detection rates. This meta-analysis was conducted with the aim to summarize all available evidence.

methodsA literature search was carried out using PubMed, Ovid MEDLINE and the Cochrane Library database from inception to December 2017. Studies that compared the use of Hyoscine Butylbrmoide compared to placebo during colonoscopy were included. Pooled odds ratio and 95% confidence interval were calculated using Mantel-Haenszel fixed-effects model when there was no heterogeneity identified.

resultsOf the 423 retrieved studies, eight met the eligibility criteria and were included in the analysis. There was no significant difference between the groups in terms of polyp and adenoma detection rates.There was no significant difference between the Hyoscine and placebo groups in polyp detection rate (49.3% vs 48%, OR = 1.06, 95% CI: 0.90-1.23, P = 0.50). Adenoma detection rate was also not significantly different between the 2 groups 33.7% vs, 31%; OR = 1.13; 95%CI: 0.95-1.35; P = 0.16). No heterogeneity was observed (P = 0.65, I

conclusionThis meta-analysis found no significant impact of Hyoscine on polyp and adenoma detection when used during colonoscopy.

Indexed as

AdenomaAdenoma detection rateBuscopnColonoscopyHyoscine ButylbrmoidePolypPolyp detection rate

Identifiers

PMID30377524
PMCPMC6202796
OpenAlexW2896286094

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.