Evidence map›Paper›PMID 41521218›Full record

ArticleScientific reports2026

Assessment of content quality and reliability of short videos regarding myocardial infarction on TikTok and BiliBili: a cross-sectional study.

Longkui Jiang, Shuaiyan Wang, Xin Liu, Lizhen Gan, Yunchuan Wu, Yuhang Wang

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. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

6 authors.

Longkui Jiang *The Research Center of Chinese Medicine Culture, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China.
Shuaiyan Wang *School of Elderly Care Services and Management, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China.
Xin LiuThe First School of Clinical Medicine, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China.
Lizhen GanSchool of Acupuncture-Moxibustion and Tuina, and School of Health Preservation and Rehabilitation, Nanjing University of Chinese Medicine, No. 138 Xianlin Avenue, Qixia District, Nanjing, 210023, Jiangsu, China.
Yunchuan WuSchool of Acupuncture-Moxibustion and Tuina, and School of Health Preservation and Rehabilitation, Nanjing University of Chinese Medicine, No. 138 Xianlin Avenue, Qixia District, Nanjing, 210023, Jiangsu, China.
Yuhang WangSchool of Acupuncture-Moxibustion and Tuina, and School of Health Preservation and Rehabilitation, Nanjing University of Chinese Medicine, No. 138 Xianlin Avenue, Qixia District, Nanjing, 210023, Jiangsu, China. wangyuhang@njucm.edu.cn.

Funding

Jiangsu Commission of Health LKM2023030Jiangsu Health Development Research Center JSHD2021008Project of Jiangsu Province's Science and Technology Development Plan for Traditional Chinese Medicine MS2025003
6 · The paper itself

Abstract

Myocardial infarction (MI) is a major cardiovascular emergency and a leading cause of death and disability worldwide. With the proliferation of short-form video platforms, channels like TikTok and BiliBili have become primary sources for health information. However, the lack of peer review and regulatory oversight on these platforms may facilitate the dissemination of inaccurate or incomplete health information. This study aimed to systematically assess the content quality and reliability of short videos about MI on TikTok and Bilibili. A cross-sectional study was conducted in August 2025, systematically retrieving the top 100 videos related to “myocardial infarction” from both TikTok and Bilibili. After screening, 171 videos were included (89 from TikTok, 82 from BiliBili). Data on general characteristics, user interaction metrics, and treatment suggestions were collected. Video quality and reliability were evaluated using Global Quality Scale (GQS), modified DISCERN (mDISCERN), Patient Education Materials Assessment Tool (PEMAT), JAMA benchmark criteria, and an video content integrity assessment tool. Correlation analyses between video content and quality assessments were also performed. Compared to BiliBili, TikTok videos had significantly higher user interaction metrics (Likes, Comments, Collections, Shares) (P < 0.01) but significantly shorter video length (P < 0.01). Regarding quality, TikTok videos had significantly higher GQS and mDISCERN scores (P < 0.05), whereas Bilibili videos scored significantly higher on the Integrity assessment (P < 0.05). The user interaction metrics, GQS score, and integrity assessment of videos uploaded by professionals were significantly better than those uploaded by non-professionals (P < 0.05). Content analysis revealed a strong focus on Diagnosis and Symptoms, with critical information on Disease assessment, management, and outcome being severely lacking. Additionally on Bilibili, cardiologists outperformed other groups in terms of user interaction metrics and integrity assessment, with significant differences observed in comments, collections, shares, and integrity assessment (P < 0.05). Correlation analysis revealed significant positive correlations between Likes and Comments, Likes and Collections, Likes and Shares, Comments and Collections, Comments and Shares, Collections and Shares, and PEMAT-U and PEMAT-A on both platforms. Information about MI on TikTok and Bilibili differs significantly in content coverage, quality, and user interaction, with overall quality and completeness requiring substantial improvement. This study underscores the necessity for effective oversight of medical content on social media and encourages more active participation from healthcare professionals in producing and disseminating accurate, comprehensive, and high-quality health information.

Indexed as

Myocardial InfarctionVideo RecordingCross-Sectional StudiesDigital MediaHumansReproducibility of ResultsBilibiliMyocardial infarctionSocial mediaTikTokVideo quality

Identifiers

PMID41521218
PMCPMC12877049

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.