Evidence map›Paper›PMID 27287897›Full record

ArticleSurgical endoscopy2017

High-definition colonoscopy increases adenoma detection rate.

Nezar Y Jrebi, Matthew Hefty, Tarek Jalouta, James Ogilvie, Alan T Davis, Theodor Asgeirsson, Martin Luchtefeld

Abstract readComparative StudyEvaluation Study
PubMed Publisher
In one paragraph

Article in Surgical endoscopy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 18% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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  16. Can technology increase adenoma detection rate?Therapeutic advances in gastroenterology · 2018
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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

7 authors at 1 institution in 1 country.

Nezar Y JrebiFerguson Clinic, Grand Rapids Medical Education Partners Research Department, Michigan State University, Grand Rapids, MI, USA. nejrebi@hsc.wvu.edu.
Matthew HeftyFerguson Clinic, Grand Rapids Medical Education Partners Research Department, Michigan State University, Grand Rapids, MI, USA.
Tarek JaloutaFerguson Clinic, Grand Rapids Medical Education Partners Research Department, Michigan State University, Grand Rapids, MI, USA.
James OgilvieFerguson Clinic, Grand Rapids Medical Education Partners Research Department, Michigan State University, Grand Rapids, MI, USA.
Alan T DavisFerguson Clinic, Grand Rapids Medical Education Partners Research Department, Michigan State University, Grand Rapids, MI, USA.
Theodor AsgeirssonFerguson Clinic, Grand Rapids Medical Education Partners Research Department, Michigan State University, Grand Rapids, MI, USA.
Martin LuchtefeldFerguson Clinic, Grand Rapids Medical Education Partners Research Department, Michigan State University, Grand Rapids, MI, USA.
Michigan State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe adenoma detection rate (ADR) is a quality indicator for colonoscopy. High-definition (HD) imaging has been reported to increase polyp detection rates.

objectiveThe primary objective of this study was to compare polyp detection rate (PDR) and adenoma detection rate (ADR) before and after the implementation of HD colonoscopy.

methodsA retrospective chart review was performed on patients aged 48-55 years old, who underwent first-time screening colonoscopy. The first group underwent standard-definition (SD) colonoscopy in the first 6 months of 2011. The second group underwent screening with HD colonoscopy during the first 6 months of 2012. We compared age, gender, PDR, ADR, and average sizes of adenomatous polyps between gastroenterologist and colorectal surgeon and among physicians themselves. Statistical analysis was performed with Fischer's exact test and Pearson Chi-square.

resultsA total of 1268 patients were involved in the study (634 in each group). PDR (35.6 vs. 48.2 %, p < 0.001) and ADR (22.2 vs. 30.4 %, p = 0.02) were higher in the HD group. The average size of an adenomatous polyp was the same in the two groups (0.58 vs. 0.57, p = 0.69). However, this difference was not seen among colorectal surgeons PDR (35.7 vs. 37 %, p = 0.789), ADR (22.9 vs. 24.5 % p = 0.513), but clearly seen among gastroenterologist, PDR (35.6 vs. 53.1 % p < 0.001) and ADR (21.9 vs. 32.9 % p < 0.001). When polyps were categorized into size groups, there was no difference in ADR between the two timeframes (<5 mm in size (41.5 vs. 35.4 %), 5-10 mm (49.3 vs. 60.1 %) and >10 mm (9.2 vs. 4.5 %), p = 0.07). Polyps were most commonly seen in the sigmoid colon (26.1 vs. 24.7 %). There was no difference in the rate of synchronous polyp detection between modalities (25.6 vs. 29 %, p = 0.51). Withdrawal time was the same in both procedure (9.2 vs. 8.5 min, p = 0.10).

conclusionScreening colonoscopy with high-definition technology significantly improved both PDR and ADR. In addition, high-definition colonoscopy may be particularly useful and advantageous among less experienced endoscopists in various community settings. However, there needs to be application to specific patient populations in future studies to assess for any statistical differences between standard- and high-definition modalities to determine clinical utility.

Indexed as

Adenomatous PolypsColonic NeoplasmsColonic PolypsColonoscopyEarly Detection of CancerFemaleHumansMaleMiddle AgedQuality Indicators, Health CareRetrospective StudiesAdenoma detection rateHigh-definition colonoscopyPolyp detection ratePolyp sizeStandard-definition colonoscopyWithdrawal time

Identifiers

PMID27287897
OpenAlexW2413400419

What OpenQuestion holds

Textmetadata
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.