Evidence mapPaperPMID 41783281Full record

ArticleDigital health

The quality and reliability of short videos on cardiovascular disease combined with anxiety or depression and their narrative healing efficacy.

Jianing Li, Mingxiao Ren, Tao Shi

Abstract read
In one paragraph

Article in Digital health. 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

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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Jianing LiHeilongjiang University of Chinese Medicine, Harbin, China.ORCID https://orcid.org/0009-0009-7784-7780
Mingxiao RenMacau University of Science and Technology, Macau, China.
Tao ShiJinan Huaqiao Hospital, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Short-form video platforms have become primary channels for the public to access health information; therefore, their influence in disseminating knowledge about psychosomatic disorders has garnered increasing attention. We aimed to systematically evaluate the quality, presentation formats and emotional narrative characteristics of short videos concerning cardiovascular disease co-occurring with anxiety and depression on the TikTok and Bilibili platforms. Methods: A cross-sectional content analysis approach was employed. Popular Chinese-language short videos relevant to the research theme were selected from both platforms. Content quality was assessed using the Global Quality Score, modified DISCERN, and Results: Although certain videos conveyed basic medical knowledge, overall quality proved to be inconsistent. Videos from professional sources scored significantly higher than non-professional accounts, with Bilibili content generally demonstrating greater depth and scientific rigour than TikTok. However, in user engagement metrics, non-professional content outperformed professionally produced material. Most videos lacked a thorough discussion of multifactorial disease causes and individual variations, with some exhibiting excessive simplification. Conclusion: Short-form video platforms hold potential for enhancing health awareness; however, significant tension exists between user preferences and scientific rigour. Multi-stakeholder collaboration and technological support are necessary to improve platform content quality and scientific accuracy.

Indexed as

anxietyCardiovascular diseasecontent qualitydepressionshort-form videos

Identifiers

PMID41783281
PMCPMC12953972

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.