Evidence map›Paper›PMID 41585294›Full record

ArticleDigital health

YouTube, Bilibili, and TikTok serve as important stroke-relevant information sources: A cross-sectional study.

Hongxin Shu, Yue Zhu, Tengfeng Yan, Weilin Zhang, Zihan Huang, Mingyu Liang, Zhihui Long, Fengyi Lv, Wei Tu

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Hongxin ShuDepartment of Neurosurgery, the 2st affiliated hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.ORCID https://orcid.org/0000-0002-9447-0112
Yue ZhuThe 2st Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Tengfeng YanDepartment of Neurosurgery, the 2st affiliated hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.ORCID https://orcid.org/0009-0003-9078-7205
Weilin ZhangHuan Kui College of Nanchang University, Nanchang, Jiangxi Province, China.
Zihan HuangHuan Kui College of Nanchang University, Nanchang, Jiangxi Province, China.
Mingyu LiangSchool of Life Sciences, Nanchang University, Nanchang, Jiangxi, China.
Zhihui LongSecond Clinical Medical School, Nanchang University, Nanchang, Jiangxi, China.
Fengyi LvSchool of Nursing, Nanchang University, Nanchang, Jiangxi, China.
Wei TuDepartment of Neurosurgery, the 2st affiliated hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Stroke remains a huge disease burden source on a global scale due to its high prevalence rate and mortality. Social media platforms serve as significant health-relevant information dissemination channels. However, the role of social media platforms in stroke-relevant information spread has not been established well. The aim of this study is to explore the role of social media platforms in stroke-relevant information spread. Methods: To conduct this cross-sectional study, stroke-related videos were collected from YouTube, Bilibili, and TikTok. The quality of included videos was assessed by using the Global Quality Scale (GQS), Results: A total of 300 stroke-relevant videos were included for further analysis (YouTube 100; Bilibili 100; TikTok 100). Mean JAMA scores of YouTube videos, Bilibili videos, and TikTok videos were 2.51, 2.62, and 2.76, respectively. Mean GQS scores of YouTube videos, Bilibili videos, and TikTok videos were 3.11, 2.79, and 2.60, respectively. Mean Modified DISCERN score of YouTube videos, Bilibili videos, and TikTok videos were 3.00, 2.88, and 2.78, respectively. No significant difference was found in quality scores across the three platforms. Content analysis suggested that all included videos demonstrated good performance in terms of accuracy and evidence support. Personal experience, health professionals, science communications, general users, news agencies, and nonprofit organizations were identified as potential positive factors for better viewers' level of enjoyment. The video playback time was negatively correlated with the viewers' level of enjoyment. Conclusion: Social media platforms facilitate the spread of stroke-relevant information. To enhance viewer engagement, regardless of the platform, video creators should strive to make their videos more concise.

Indexed as

educationonline videosrestricted cubic splinesocial mediaStroke

Identifiers

PMID41585294
PMCPMC12827908

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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.