Evidence map›Paper›PMID 31898644›Full record

Trial reportSaudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association

Study on detection rate of polyps and adenomas in artificial-intelligence-aided colonoscopy.

Wen-Na Liu, Yang-Yang Zhang, Xu-Qiang Bian, Li-Juan Wang, Qiang Yang, Xi-Dou Zhang, Jin Huang

Abstract readComparative StudyRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 12 pooled it
–field-weighted citation impact
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

83 citing papers in PubMed, 12 syntheses or guidelines pooled it.

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23 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Wen-Na LiuDepartment of Digestive Endoscopy, No. 988 Hospital of Joint Logistic Support Force of PLA, Zhengzhou, China.
Yang-Yang ZhangDepartment of Digestive Endoscopy, No. 988 Hospital of Joint Logistic Support Force of PLA, Zhengzhou, China.
Xu-Qiang BianDepartment of Digestive Endoscopy, No. 988 Hospital of Joint Logistic Support Force of PLA, Zhengzhou, China.
Li-Juan WangDepartment of Digestive Endoscopy, No. 988 Hospital of Joint Logistic Support Force of PLA, Zhengzhou, China.
Qiang YangDepartment of Digestive Endoscopy, No. 988 Hospital of Joint Logistic Support Force of PLA, Zhengzhou, China.
Xi-Dou ZhangDepartment of Digestive Endoscopy, No. 988 Hospital of Joint Logistic Support Force of PLA, Zhengzhou, China.
Jin HuangDepartment of Digestive Endoscopy, No. 988 Hospital of Joint Logistic Support Force of PLA, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimTo study the impact of computer-aided detection (CADe) system on the detection rate of polyps and adenomas in colonoscopy. MATERIALS AND

methodsA total of 1026 patients were prospectively randomly scheduled for colonoscopy with (the CADe group, CADe) or without (the control group, CON) the aid of the CADe system, together with visual notification and voice alarm, so as to compare the detection rate of polyp.

resultsCompared with group CON, the detection rate of adenomas increased in group CADe, the average number of adenomas increased, the number of small adenomas increased, the number of proliferative polyps increased, and the differences were statistically significant (P < 0.001), but the comparison for the number of larger adenomas showed no significant difference between the groups (P> 0.05).

conclusionsThe CADe system is feasible for increasing the detection of polyps and adenomas in colonoscopy.

Indexed as

AdenomaAdultArtificial IntelligenceColonic PolypsColonoscopyDiagnosis, Computer-AssistedFemaleHumansMaleMiddle AgedProspective StudiesAdenomaartificial intelligencecolonoscopydetection ratepolyp

Identifiers

PMID31898644
PMCPMC7045775

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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.