Evidence map›Paper›PMID 42798091›Full record

ArticleMedicine2026

Evaluating the quality and reliability of rotator cuff injury related videos on Bilibili and TikTok: A cross-sectional analysis.

Junyu Bai, Jinqiao Zhang

Abstract read
In one paragraph

Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

2 authors.

Junyu BaiPhD Student, School of Journalism and Communication, Wuhan Sports University, Wuhan, Hubei, China.ORCID 0009-0007-7793-9445
Jinqiao ZhangSchool of Physical Education, Shaanxi Normal University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rotator cuff injury (RCI) is a common age-related musculoskeletal disorder, yet public awareness remains limited. With short-video platforms emerging as key health information sources, concerns about content quality have grown. This study evaluated the quality, reliability, and comprehensiveness of RCI-related videos on TikTok and Bilibili and examined the impact of uploader characteristics. On October 13, 2025, Chinese-language videos containing "rotator cuff injury" were retrieved from TikTok and Bilibili. Following strict inclusion criteria, 231 videos were analyzed. Video characteristics, engagement metrics (likes, comments, shares, collections), and uploader information were collected. Quality and content integrity were assessed using the Video Information and Quality Index (VIQI), Global Quality Scale (GQS), and modified DISCERN (mDISCERN). Statistical comparisons and Spearman correlation analyses were performed. Of 231 videos, 96 were from Bilibili and 135 from TikTok. TikTok videos were shorter (median 93 seconds vs 234.5 seconds, P < .001) but demonstrated higher engagement across all metrics (P < .001). Physicians contributed most content (TikTok: 79%, Bilibili: 64%). Diagnosis and treatment dominated, while epidemiology and prevention were rarely addressed. GQS and mDISCERN scores did not differ between platforms. TikTok scored higher on VIQI information flow (P < .001) and visual quality (P = .044); Bilibili excelled in information accuracy (P = .006). Individual user videos showed slightly higher GQS (P < .05) and accuracy (P = .033); physician videos received more comments (P = .002) and shares (P = .042). VIQI and GQS correlated positively with engagement metrics (VIQI: R = 0.21-0.40; GQS: r = 0.20-0.28; all P < .001), whereas mDISCERN showed weak associations. Video duration correlated positively with quality scores (GQS: r = 0.56; VIQI: R = 0.34; mDISCERN: r = 0.33; all P < .001) but negligibly with engagement. The analysis of RCI-related videos on TikTok and Bilibili reveals moderate content quality and a significant lack of preventive information. These findings underscore the need for strategies to enhance the scientific rigor and comprehensiveness of health information on short-video platforms.

Indexed as

Rotator Cuff InjuriesVideo RecordingCross-Sectional StudiesDigital MediaHumansReproducibility of ResultsBilibilihealth communicationrotator cuff injuryshort videoTikTok

Identifiers

PMID42798091
PMCPMC13619200

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.