Evidence map›Paper›PMID 42182750›Full record

ArticleJournal of thoracic disease2026

Quality and reliability of aortic dissection-related health information on TikTok and Bilibili: a cross-sectional content analysis study.

Liang Fang, Jianfeng Yin, Tingting Dai, Xingjiang Li

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Liang FangDepartment of Cardiology, Changzhou Traditional Chinese Medicine Hospital, Changzhou, China.
Jianfeng YinDepartment of Cardiology, Changzhou Traditional Chinese Medicine Hospital, Changzhou, China.
Tingting DaiEmergency Department, Wujin Hospital Affiliated with Jiangsu University, Changzhou, China.
Xingjiang LiEmergency Department, Wujin Hospital Affiliated with Jiangsu University, Changzhou, China.ORCID https://orcid.org/0009-0001-0335-4483

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In recent years, TikTok and Bilibili, two popular Chinese social media platforms, have played an important role in health communication by providing a wide range of health-related content to diverse audiences. This study aimed to evaluate the content, quality, and reliability of aortic dissection (AD)-related videos on these two platforms. Methods: Using the keyword "" (Chinese for aortic dissection), we initially retrieved the top 150 videos per platform under the default ranking. We recorded video duration, engagement metrics, and uploader identity. Video quality was assessed using the Global Quality Score (GQS) and the modified DISCERN (mDISCERN) scale. Between-group differences were compared using the Mann-Whitney U and Kruskal-Wallis tests. Spearman's rank correlation was applied to examine associations among variables. Results: A total of 228 videos were included. Content primarily focused on treatment (55.26%), with relatively sparse coverage of diagnosis (33.77%) and prognosis (14.91%). The median GQS was 2.50 [interquartile ranges (IQR), 2.00-3.00], and the mDISCERN score was 3.00 (IQR, 2.00-3.00). Videos on TikTok had higher GQS and mDISCERN scores (P<0.05). Compared with individual users and organizations, videos produced by specialist physicians achieved higher GQS and mDISCERN scores (P<0.05). Engagement metrics were not associated with GQS or mDISCERN (P>0.05). Conclusions: The overall quality and reliability of AD-related videos on TikTok and Bilibili remain suboptimal, with insufficient attention to diagnosis and prognosis. Specialist-produced content shows higher reliability, whereas popularity does not reflect accuracy. Future efforts should strengthen platform oversight and review, encourage greater participation by specialist physicians in producing AD content, and optimize health information dissemination strategies.

Indexed as

Aortic dissection (AD)Bilibiliinformation qualitysocial mediaTikTok

Identifiers

PMID42182750
PMCPMC13190147

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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.