Evidence map›Paper›PMID 41404572›Full record

ArticleFrontiers in public health2025

Quality, reliability, and dissemination of lung cancer information on short-video platforms in China: a cross-platform content analysis of TikTok, Kwai, and Rednote.

Xiaoran Zheng, Qiankuan Li, Lu Jin, Kaihang Shi, Mengqi Deng

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

14 citing papers in PubMed.

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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

5 authors.

Xiaoran Zheng *Handan Fukang Hospital, Handan, China.
Qiankuan Li *Handan Fukang Hospital, Handan, China.
Lu JinZhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan, Guangdong, China.
Kaihang ShiDepartment of Dermatology and Venereology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, China.
Mengqi DengBeijing Key Laboratory for Tumor Invasion and Metastasis, Department of Biochemistry and Molecular Biology, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Short-video platforms have become major sources of health information in China, influencing public awareness and health behavior. However, the quality and dissemination patterns of lung cancer-related content across different platforms remain unclear. This study aimed to evaluate the informational quality, reliability, and engagement patterns of lung cancer short videos on three leading Chinese platforms. Methods: We conducted a comprehensive cross-sectional content analysis of 1,288 lung cancer-related videos retrieved from TikTok, Kwai and Rednote. Video quality was systematically evaluated using a multidimensional toolkit, including the Journal of the American Medical Association (JAMA) benchmark criteria, Global Quality Scale (GQS), modified DISCERN (mDISCERN), and the Patient Education Materials Assessment Tool (PEMAT-U/A). We analyzed heterogeneity and correlations of quality and engagement metrics (likes, comments, shares, collections) across platforms, creator types, content themes, and presentation formats. Results: Overall information quality was suboptimal (Median JAMA = 2; Median GQS = 3). Significant heterogeneity ( Conclusion: Marked disparities in the quality and dissemination of lung cancer-related short videos exist across Chinese platforms. Professional, evidence-based content enhances reliability, whereas emotional and visually driven content drives engagement. Strengthening algorithmic governance, metadata transparency, and expert involvement-alongside audience-centered, evidence-informed communication-may enhance the educational value and public health impact of short-video platforms.

Indexed as

Information DisseminationLung NeoplasmsVideo RecordingChinaCross-Sectional StudiesHumansReproducibility of Resultsdigital healthhealth communicationhealth information qualitylung cancershort-videosocial media

Identifiers

PMID41404572
PMCPMC12702867

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Registered trials

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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.