Evidence mapPaperPMID 41908775Full record

ArticleFrontiers in public health2026

The quality and reliability of short videos about myocardial infarction on TikTok: a cross-sectional study.

Shudi Li, Menghe Zhang, Yaoyao Zuo, Lin Zhou, Zhenhai Sun, Tailong Lv, Huidan Xie, Shouqiang Chen

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

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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

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Shudi LiShandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Menghe ZhangThe Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Yaoyao ZuoThe Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Lin ZhouShandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Zhenhai SunShandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Tailong LvShandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Huidan XieShandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Shouqiang ChenShandong University of Traditional Chinese Medicine, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Myocardial infarction (MI) is one of the major diseases affecting human health and life, characterized by its acute onset and high mortality rate. Social media platforms like TikTok are playing an increasingly important role in disease education and prevention. This study evaluated the quality of MI-related science education videos on TikTok and examined the relationship between video content quality and user engagement. Methods: Video quality was assessed using the Global Quality Scale (GQS), Journal of the American Medical Association (JAMA) benchmark standards, and the modified DISCERN (mDISCERN) tool. Video duration and engagement metrics (likes, comments, shares, and collections) were recorded. Spearman's correlation and linear regression analyses were employed to examine the relationship between video quality and engagement. Results: After screening the videos, a total of 270 videos were analyzed. Collectively, these videos garnered 35,913,507 likes, 12,745,256 shares, 8,072,837 collections, and 1,306,276 comments. Most videos (84.1%, Discussion: As a widely used video dissemination platform, TikTok provides users with a positive experience, with the overall quality of MI-related short videos remaining at a moderate level. Analysis indicates that extending video duration and appropriately citing references and sources can further enhance video quality and reliability, offering users more comprehensive knowledge and improved disease prevention outcomes.

Indexed as

Health EducationMyocardial InfarctionSocial MediaVideo RecordingCross-Sectional StudiesDigital MediaHumansReproducibility of Resultsmyocardial infarctionreliabilitysocial mediaTikTokvideo quality

Identifiers

PMID41908775
PMCPMC13018143

What Socratic holds

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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 Socratic graph.