Evidence map›Paper›PMID 42724232›Full record

ArticleJournal of thoracic disease2026

Myocarditis-related videos on TikTok: a cross-sectional analysis of content quality and user engagement.

Zhongxing Ning, Daojun Wen, Xinyi Yin, Yu Liang, Zhefu Liu, Xi Lu, Yang Yang, Jie Yang, Yuyan Zhang, Wenhao Xia

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. Not yet cited in PubMed.

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

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

10 authors.

Zhongxing NingDepartment of Hypertension and Vascular Disease, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0009-0005-7515-7461
Daojun WenDepartment of Cardiovascular Medicine, Guangxi Hospital Division of The First Affiliated Hospital, Sun Yat-sen University, Nanning, China.
Xinyi YinDepartment of Cardiovascular Medicine, Guangxi Hospital Division of The First Affiliated Hospital, Sun Yat-sen University, Nanning, China.
Yu LiangDepartment of Hypertension and Vascular Disease, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Zhefu LiuDepartment of Hypertension and Vascular Disease, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xi LuDepartment of Hypertension and Vascular Disease, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yang YangDepartment of Hypertension and Vascular Disease, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jie YangDepartment of Cardiovascular Medicine, Guangxi Hospital Division of The First Affiliated Hospital, Sun Yat-sen University, Nanning, China.
Yuyan ZhangDepartment of Cardiovascular Medicine, Guangxi Hospital Division of The First Affiliated Hospital, Sun Yat-sen University, Nanning, China.
Wenhao XiaDepartment of Hypertension and Vascular Disease, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Public attention to myocarditis has increased markedly since the coronavirus disease 2019 (COVID-19) pandemic and vaccine-related discussions. Because misleading online content may distort symptom recognition, treatment-seeking behavior, and vaccine attitudes, the quality and clinical completeness of myocarditis-related social media information have important public health implications. This study evaluated the characteristics, clinical content coverage, user engagement, and information quality of myocarditis-related videos on TikTok. Methods: This was a cross-sectional content analysis of Chinese-language myocarditis-related TikTok videos retrieved using the keyword "myocarditis" in the mainland Chinese internet environment. Videos published before April 16, 2026 were screened for eligibility. The search was conducted using a newly registered account. Video characteristics, uploader type, user engagement metrics, and five clinical content domains, including etiology, symptoms, diagnosis, treatment, and follow-up recommendations, were extracted. Two cardiologists independently assessed video quality and reliability using the Global Quality Score (GQS) and modified DISCERN (mDISCERN). Discrepancies were adjudicated by a senior cardiovascular physician. All statistical analyses were performed using R version 4.3.3, including Mann-Whitney Results: A total of 150 videos were included. Health professionals were the most common uploaders (73%), followed by news organizations (19%) and general users (8%). Clinical content coverage was uneven: symptoms were discussed most frequently (64%), followed by etiology (35%) and diagnosis (30%), whereas follow-up recommendations (19%) and treatment (17%) were less commonly addressed. Videos posted by health professionals had significantly higher GQS and mDISCERN scores than those from non-professional sources, but non-professional videos generated greater audience engagement. Longer video duration was associated with higher GQS scores [β=0.004; 95% confidence interval (CI): 0.003-0.006; P<0.001] and mDISCERN scores (β=0.002; 95% CI: 0.001-0.004; P<0.001), whereas engagement metrics were not associated with information quality. Conclusions: Myocarditis-related videos on TikTok showed a mismatch between content credibility and popularity. Longer video duration was associated with higher information quality, but clinical content coverage remained incomplete. Future digital health communication should include more expert-led, accessible, and clinically actionable content that clearly explains key clinical information. Platform-level support, including clearer verification of medical creators and increased visibility of trustworthy health information during periods of high public concern, may help improve online health literacy and reduce the potential harms of misinformation.

Indexed as

digital health communicationGlobal Quality Score (GQS)modified DISCERN (mDISCERN)MyocarditisTikTok

Identifiers

PMID42724232
PMCPMC13559385

What OpenQuestion holds

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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.