Evidence map›Paper›PMID 41659053›Full record

ArticleDigital health

A comparative study of medical information quality and dissemination efficacy of knee arthroplasty videos in Bilibili/TikTok short video platforms.

Bingqi Wei, Xinyue Zhang, Liu Chen, Xingyue Ren, Yijing Li, Feiyang Chen, Luwei Zhang, Yunfang Fan, Zimeng Xie, Jiarong Li and 2 more

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

12 authors.

Bingqi WeiSchool of Orthopedics, Henan University of Chinese Medicine, Zhengzhou, China.ORCID https://orcid.org/0009-0005-1065-4520
Xinyue ZhangSchool of Orthopedics, Henan University of Chinese Medicine, Zhengzhou, China.
Liu ChenSchool of Orthopedics, Henan University of Chinese Medicine, Zhengzhou, China.ORCID https://orcid.org/0009-0003-8350-6145
Xingyue RenSchool of Orthopedics, Henan University of Chinese Medicine, Zhengzhou, China.ORCID https://orcid.org/0009-0009-1624-0942
Yijing LiSchool of Orthopedics, Henan University of Chinese Medicine, Zhengzhou, China.ORCID https://orcid.org/0009-0007-8401-2947
Feiyang ChenSchool of Orthopedics, Henan University of Chinese Medicine, Zhengzhou, China.
Luwei ZhangSchool of Orthopedics, Henan University of Chinese Medicine, Zhengzhou, China.ORCID https://orcid.org/0009-0005-2692-7503
Yunfang FanSchool of Orthopedics, Henan University of Chinese Medicine, Zhengzhou, China.ORCID https://orcid.org/0009-0009-2354-5672
Zimeng XieSchool of Orthopedics, Henan University of Chinese Medicine, Zhengzhou, China.
Jiarong LiSchool of Orthopedics, Henan University of Chinese Medicine, Zhengzhou, China.
Yueyang ChenSchool of Orthopedics, Henan University of Chinese Medicine, Zhengzhou, China.ORCID https://orcid.org/0009-0008-2267-7860
Shangzeng WangSchool of Orthopedics, Henan University of Chinese Medicine, Zhengzhou, China.ORCID https://orcid.org/0009-0005-3654-3925

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to systematically assess the content characteristics and information quality of knee arthroplasty-related videos on TikTok and Bilibili, in order to provide evidence to support the optimization of health science communication. Methods: On February 13, 2025, we searched for "" (knee arthroplasty in Chinese) on TikTok and Bilibili, and initially collected 100 videos from each platform according to the default sorting order, which were then subjected to further screening. Videos containing irrelevant content, lacking audio, being non-original reposts, or intended for advertising and marketing purposes were excluded. The quality and reliability of the included videos were assessed by applying four validated instruments: the modified version of DISCERN (mDISCERN), the Global Quality Score (GQS), the Video Information and Quality Index (VIQI), and the Patient Education Materials Assessment Tool (PEMAT). Interplatform variations and correlations between quality and user interactions were analyzed via Mann‒Whitney U and chi-square tests. Results: A total of 162 knee arthroplasty related videos were analyzed, including 88 from TikTok and 74 from Bilibili. TikTok videos demonstrated higher engagement and more certified uploaders, whereas Bilibili featured more diverse professional backgrounds. Bilibili emphasizing anatomy using PPT/class based, animation/ motion and television program/documentary styles. TikTok focusing on examination/diagnosis, and treatment delivered through solo narrative and Questions and Answers (Q&A). TikTok videos achieved higher scores across all quality assessment tools. Professionally generated content consistently outperformed nonprofessional content across most quality metrics, whereas no significant difference was observed for mDISCERN. Correlation analysis showed that engagement was strongly associated with VIQI on both platforms, with additional moderate associations for GQS and PEMAT only on TikTok, while mDISCERN showed no significant correlation. Conclusions: TikTok favors high user engagement, whereas Bilibili provides more structured educational content. Professional involvement is essential to ensure information quality and effective medical communication.

Indexed as

Bilibilihealth scienceinformation qualityknee arthroplastyshort video platformsTikTok

Identifiers

PMID41659053
PMCPMC12873082

What OpenQuestion holds

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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.