Evidence map›Paper›PMID 42315573›Full record

ArticleScientific reports2026

Quality, reliability, and engagement of COPD-related videos on Chinese short-form video platforms: a cross-sectional content analysis.

Jiajun Liu, Juanjuan Liu, Tao Fan, Yu Zhang, Yan Lv, Jing Yang, Kehao Zhao, Ying Zeng

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Jiajun Liu *School of Nursing, The Second Affiliated Hospital, Hengyang Medical School, Hunan Province Key Laboratory of Tumor Cellular & Molecular Pathology, University of South China, Hengyang, 421001, China.
Juanjuan Liu *School of Rehabilitation Medicine and Health, Hunan University of Medicine, Huaihua, China.
Tao FanDivision of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China.
Yu ZhangDepartment of Pulmonary and Critical Care Medicine, Chengdu First People's Hospital, Chengdu, China.
Yan LvDivision of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China.
Jing YangSchool of Nursing, The Second Affiliated Hospital, Hengyang Medical School, Hunan Province Key Laboratory of Tumor Cellular & Molecular Pathology, University of South China, Hengyang, 421001, China.
Kehao ZhaoSchool of Nursing, The Second Affiliated Hospital, Hengyang Medical School, Hunan Province Key Laboratory of Tumor Cellular & Molecular Pathology, University of South China, Hengyang, 421001, China. KHZhao2023@163.com.
Ying ZengSchool of Nursing, The Second Affiliated Hospital, Hengyang Medical School, Hunan Province Key Laboratory of Tumor Cellular & Molecular Pathology, University of South China, Hengyang, 421001, China. zengying2003@126.com.

Funding

Aid Program for Science and Technology Innovative Research Team in Higher Educational Institutions of Hunan Province 2023-233Natural Science Foundation of Hunan Province 2023JJ30521
6 · The paper itself

Abstract

Short-form video platforms are increasingly used to obtain information about chronic obstructive pulmonary disease (COPD), but the quality and reliability of COPD-related content across Chinese platforms remain unclear. We evaluated 228 COPD-related videos from Douyin, Kwai, and Bilibili using the Journal of the American Medical Association (JAMA) benchmark criteria, Global Quality Scale, modified DISCERN (mDISCERN), and Patient Education Materials Assessment Tool. Video characteristics, creator identity, verification status, content theme, presentation format, and visible engagement metrics were also analyzed. Video quality differed significantly across platforms. Douyin showed the highest transparency, reliability, and overall quality scores. Kwai showed the highest visible engagement but had lower overall quality and actionability scores. Bilibili had the longest videos and the highest understandability scores. Organization verified accounts generally achieved higher quality scores than individual verified or unverified accounts, although this finding should be interpreted cautiously because of the small number of such accounts. Visible engagement metrics, including likes, comments, saves, and shares, were not significantly correlated with medical quality scores. Together, these findings suggest that visible popularity is a poor proxy for medical quality. COPD-related digital health communication may benefit from more accessible evidence-based content, clearer source identification, and closer oversight of high-risk therapeutic claims.

Indexed as

Pulmonary Disease, Chronic ObstructiveVideo RecordingChinaCross-Sectional StudiesDigital MediaEast Asian PeopleHumansReproducibility of ResultsChronic obstructive pulmonary diseaseDigital health literacyHealth information qualityShort-form video platformsSocial mediaTikTok

Identifiers

PMID42315573
PMCPMC13547415

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