Evidence map›Paper›PMID 40068165›Full record

ArticleJournal of medical Internet research2025

The Reliability and Quality of Videos as Guidance for Gastrointestinal Endoscopy: Cross-Sectional Study.

Jinpei Liu, Yifan Qiu, Yilong Liu, Wenping Xu, Weichen Ning, Peimei Shi, Zongli Yuan, Fang Wang, Yihai Shi

Abstract read
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Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jinpei Liu *Department of Gastroenterology, Gongli Hospital of Shanghai Pudong New Area, Shanghai, China.ORCID 0000-0003-2776-0942
Yifan Qiu *College of Basic Medicine Sciences, Second Military Medical University/Naval Medical University, Shanghai, China.ORCID 0009-0007-6992-1843
Yilong Liu *Department of Gastroenterology, Changzheng Hospital, Naval Medical University, Shanghai, China.ORCID 0000-0002-0055-8333
Wenping Xu *Department of Gastroenterology, Changzheng Hospital, Naval Medical University, Shanghai, China.ORCID 0000-0002-2062-4641
Weichen NingDepartment of Gastroenterology, Gongli Hospital of Shanghai Pudong New Area, Shanghai, China.ORCID 0009-0003-3910-1087
Peimei ShiDepartment of Gastroenterology, Changzheng Hospital, Naval Medical University, Shanghai, China.ORCID 0000-0002-1922-0164
Zongli YuanDepartment of Gastroenterology, Changzheng Hospital, Naval Medical University, Shanghai, China.ORCID 0000-0002-7900-2601
Fang WangDepartment of Respiratory and Critical Care Medicine, Changzheng Hospital, Naval Medical University, Shanghai, China.ORCID 0009-0000-1989-1681
Yihai ShiDepartment of Gastroenterology, Gongli Hospital of Shanghai Pudong New Area, Shanghai, China.ORCID 0000-0003-3858-7903

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastrointestinal endoscopy represents a useful tool for the diagnosis and treatment of gastrointestinal diseases. Video platforms for spreading endoscopy-related knowledge may help patients understand the pros and cons of endoscopy on the premise of ensuring accuracy. However, videos with misinformation may lead to adverse consequences.

objectiveThis study aims to evaluate the quality of gastrointestinal endoscopy-related videos on YouTube and to assess whether large language models (LLMs) can help patients obtain information from videos more efficiently.

methodsWe collected information from YouTube videos about 3 commonly used gastrointestinal endoscopes (gastroscopy, colonoscopy, and capsule endoscopy) and assessed their quality (rated by the modified DISCERN Tool, mDISCERN), reliability (rated by the Journal of the American Medical Association), and recommendation (rated by the Global Quality Score). We tasked LLM with summarizing the video content and assessed it from 3 perspectives: accuracy, completeness, and readability.

resultsA total of 167 videos were included. According to the indicated scoring, the quality, reliability, and recommendation of the 3 gastrointestinal endoscopy-related videos on YouTube were overall unsatisfactory, and the quality of the videos released by patients was particularly poor. Capsule endoscopy yielded a significantly lower Global Quality Score than did gastroscopy and colonoscopy. LLM-based summaries yielded accuracy scores of 4 (IQR 4-5), completeness scores of 4 (IQR 4-5), and readability scores of 2 (IQR 1-2).

conclusionsThe quality of gastrointestinal endoscope-related videos currently on YouTube is poor. Moreover, additional regulatory and improvement strategies are needed in the future. LLM may be helpful in generalizing video-related information, but there is still room for improvement in its ability.

Indexed as

Endoscopy, GastrointestinalVideo RecordingCross-Sectional StudiesHumansReproducibility of ResultsSocial Mediacolonoscopycross-sectional studyendoscopyendoscopy-related videosgastrointestinal endoscopygastroscopyhealth informationlarge language modelLLMpatient educationqualityreliabilitysocial media gastrointestinalvideoYouTube

Identifiers

PMID40068165
PMCPMC11937713

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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.