Evidence map›Paper›PMID 39883463›Full record

Trial reportJAMA network open2025

Automatic Quality Control System and Adenoma Detection Rates During Routine Colonoscopy: A Randomized Clinical Trial.

Jing Liu, Ruchen Zhou, Chengxia Liu, Haiyan Liu, Zhenqin Cui, Zhuang Guo, Weidong Zhao, Xiaoqin Zhong, Xiaodong Zhang, Jing Li and 8 more

Registry-linked trialAbstract readRandomized Controlled TrialMulticenter Study
In one paragraph

Trial report in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04901130 (Impact of Real-time Automatic Quality Control System on Colorectal Adenoma Detection), which is not on this map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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.

NCT04901130 naunknown statusnot on this map

Impact of Real-time Automatic Quality Control System on Colorectal Adenoma Detection: a Multicenter Randomized Controlled Trial

TypeinterventionalSponsorShandong UniversityRan2021 to 2022Enrolled1,254ConditionsColonoscopyArmsComputer-aided Real-time Automatic Quality Control System (AQCS)
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Implementing key quality performance metrics improves colorectal adenoma detection: Evidence from India.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2026
    Article
  6. Review
  7. Review
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

18 authors.

Jing LiuDepartment of Gastroenterology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Ruchen ZhouDepartment of Gastroenterology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Chengxia LiuDepartment of Gastroenterology, Binzhou Medical University Hospital, Binzhou, Shandong, China.
Haiyan LiuDepartment of Gastroenterology, Binzhou Medical University Hospital, Binzhou, Shandong, China.
Zhenqin CuiDepartment of Gastroenterology, Central Hospital of Shengli Oilfield, Dongying, Shandong, China.
Zhuang GuoDepartment of Gastroenterology, Central Hospital of Shengli Oilfield, Dongying, Shandong, China.
Weidong ZhaoDepartment of Gastroenterology, Zibo Municipal Hospital, Zibo, Shandong, China.
Xiaoqin ZhongDepartment of Gastroenterology, Zibo Municipal Hospital, Zibo, Shandong, China.
Xiaodong ZhangDepartment of Gastroenterology, Linyi People's Hospital, Dezhou, Shandong, China.
Jing LiDepartment of Gastroenterology, Linyi People's Hospital, Dezhou, Shandong, China.
Shihuan WangDepartment of Gastroenterology, The People's Hospital of Zhaoyuan City, Yantai, Shandong, China.
Li XingDepartment of Gastroenterology, The People's Hospital of Zhaoyuan City, Yantai, Shandong, China.
Yusha ZhaoDepartment of Gastroenterology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Ruiguang MaDepartment of Gastroenterology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Jiekun NiDepartment of Gastroenterology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Zhen LiDepartment of Gastroenterology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Yanqing LiDepartment of Gastroenterology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Xiuli ZuoDepartment of Gastroenterology, Qilu Hospital of Shandong University, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: High-quality colonoscopy reduces the risks of colorectal cancer by increasing the adenoma detection rate. Routine use of an automatic quality control system (AQCS) to assist in colorectal adenoma detection should be considered. Objective: To evaluate the effect of an AQCS on the adenoma detection rate among colonoscopists who were moderate- and low-level detectors during routine colonoscopy. Design, Setting, and Participants: This multicenter, single-blind, randomized clinical trial was conducted at 6 centers in China from August 1, 2021, to September 30, 2022. Data were analyzed from March 1 to June 30, 2023. Individuals aged 18 to 80 years were enrolled. Exclusion criteria were a history of inflammatory bowel disease, advanced colorectal cancer, and polyposis syndromes; known colorectal polyps without complete removal previously; a history of colorectal surgery; known stenosis or obstruction with contraindication for biopsy or prior failed colonoscopy; pregnancy or lactation; and refusal to participate. Intention-to-treat and per-protocol analysis was used. Interventions: Standard colonoscopy or AQCS-assisted colonoscopy. Main Outcomes and Measures: Adenoma detection rate. Results: A total of 1254 participants (mean [SD] age, 51.21 [12.10] years; 674 [53.7%] male) were randomized (627 standard colonoscopy, 627 AQCS-assisted colonoscopy). Intention-to-treat analysis showed a significantly higher adenoma detection rate in the AQCS-assisted group vs standard colonoscopy group (32.7% vs 22.6%; relative risk [RR], 1.60; 95% CI, 1.23-2.09; P < .001). The adenoma detection rates were significantly higher in the AQCS group when considering pathology (nonadvanced adenomas, 30.1% vs 21.2%; RR, 1.52; 95% CI, 1.16-1.99; P = .002), and morphology (flat or sessile, 29.3% vs 20.4%, RR, 1.52; 95% CI, 1.16-2.00; P = .003). Use of AQCS significantly increased the adenoma detection rate of both the lower-level detectors (30.0% vs 20.0%; RR, 1.71; 95% CI, 1.24-2.35; P = .001) and the medium-level detectors (38.1% vs 27.7%; RR, 1.61; 95% CI, 1.07-2.43; P = .02). Similar increases were found for adenoma detection rates in the academic and nonacademic centers (academic: 29.3% vs 20.8%; RR, 1.58; 95% CI, 1.10-2.29; P = .01; nonacademic: 36.1% vs 24.5%; RR, 1.74; 95% CI, 1.23-2.46; P = .002). The number of adenomas per colonoscopy was significantly higher in the AQCS-assisted group (0.86 vs 0.48; RR, 1.50; 95% CI, 1.17-1.91; P = .001). The mean withdrawal time without intervention was slightly increased with AQCS assistance (6.78 vs 6.46 minutes; RR, 1.38; 95% CI, 1.26-1.52; P < .001). No serious adverse events were reported. Conclusions and Relevance: In this randomized clinical trial, AQCS assistance during routine colonoscopy increased adenoma detection rates and several related polyp parameters compared with standard colonoscopy in the lower- and medium-level detectors in academic and nonacademic settings. Routine use of AQCS to assist in colorectal adenoma detection and quality improvement should be considered. Trial Registration: ClinicalTrials.gov Identifier: NCT04901130.

Indexed as

AdenomaColonoscopyColorectal NeoplasmsEarly Detection of CancerQuality ControlAdultAgedChinaFemaleHumansMaleMiddle AgedSingle-Blind Method

Identifiers

PMID39883463
PMCPMC11783196

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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.