Evidence map›Paper›PMID 41872331›Full record

ArticleScientific reports2026

Quality of TikTok videos on sudden cardiac death varies by video characteristics and health information accuracy.

Mitansh Bansal, Ayesha Jalal, Firdous M Usman, Sadhana Sureshkumar, Meisya Rosamystica, Vikas Bansal, Faisal A Nawaz, Rahul Kashyap

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. 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

8 authors.

Mitansh BansalGlobal Remote Research Scholars Program, Princeton Junction, NJ, USA.
Ayesha JalalGlobal Remote Research Scholars Program, Princeton Junction, NJ, USA.
Firdous M UsmanGlobal Remote Research Scholars Program, Princeton Junction, NJ, USA.
Sadhana SureshkumarGlobal Remote Research Scholars Program, Princeton Junction, NJ, USA.
Meisya RosamysticaGlobal Remote Research Scholars Program, Princeton Junction, NJ, USA.
Vikas BansalGlobal Remote Research Scholars Program, Princeton Junction, NJ, USA.
Faisal A NawazGlobal Remote Research Scholars Program, Princeton Junction, NJ, USA.
Rahul KashyapGlobal Remote Research Scholars Program, Princeton Junction, NJ, USA. rkashyap@wellspan.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social media platforms like TikTok have become a source of health information, particularly for younger audiences, but concerns remain about the accuracy and reliability of this content. This study assessed the quality, engagement, and sentiment of TikTok videos on sudden cardiac death (SCD), comparing healthcare professional (HCP) and non-HCP creators. Using Exolyt, the top 100 videos under two popular SCD hashtags were screened, and 83 met inclusion criteria. Engagement metrics (likes, comments, shares) and creator type were recorded, and quality was assessed with DISCERN, modified JAMA benchmarks, and a modified CRAAP test. Non-HCP videos achieved significantly higher engagement, with greater median reshares (p = 0.0050), favourited counts (p = 0.0495), and engagement rates (p = 0.0014). In contrast, HCP videos demonstrated higher quality scores, performing significantly better on the DISCERN (p < 0.0001), JAMA (p < 0.0001), and CRAAP (p < 0.0001) assessments. They were also more likely to present clear aims (p = 0.0023) and to describe benefits (p = 0.0030) and risks (p = 0.0005) of treatments. Sentiment analysis found no significant difference, though non-HCP videos were more often positive (59.1% vs. 40.9%, p = 0.332). In summary, HCPs produce more accurate and reliable content, while non-HCPs achieve greater reach and interaction. Enhancing the visibility of evidence-based content may require collaborations between HCPs and creators or platform-level interventions.

Indexed as

Consumer Health InformationDeath, Sudden, CardiacSocial MediaVideo RecordingDigital MediaHealth PersonnelHumansCardiovascular healthDigital healthHealth education accessSocial mediaSudden cardiac deathTikTok

Identifiers

PMID41872331
PMCPMC13179351

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.