ArticleJournal of thoracic disease2026
Quality and reliability of ground-glass nodule-related short Chinese videos on TikTok and Bilibili: a cross-sectional content analysis.
Article in Journal of thoracic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Alcohol-related health information on Chinese short-video platforms: a cross-sectional content analysis of Douyin and Bilibili.Scientific reports · 2026Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The widespread use of chest computed tomography (CT) has substantially increased the detection of ground-glass nodules (GGNs). This often causes significant patient anxiety. While most GGNs are slow-growing, misinformation or incomplete guidance on social media can worsen "scan anxiety". This may lead to demands for unnecessary overtreatment or result in poor adherence to surveillance protocols. This study evaluated the content, quality, and reliability of GGN-related short videos on TikTok and Bilibili to determine their utility for patient education. Methods: We searched both platforms using the keyword "ground-glass nodules" ("GGNs") between September 30-October 8, 2025. We analyzed the top 130 videos per platform. We classified uploaders as professionals (surgeons, radiologists, internists including traditional Chinese medicine physicians) or patients. Content was coded for etiology, imaging, diagnosis, treatment, and follow-up. Video quality and reliability were assessed using the Global Quality Score (GQS, 1-5) and modified DISCERN (mDISCERN). Two physicians rated all videos independently, with adjudication by a senior clinician. Nonparametric tests and Spearman correlations were applied (two-sided P<0.05). Results: A total of 237 videos were included (TikTok, n=125; Bilibili, n=112). Content analysis revealed significant information gaps: while 92.83% of videos discussed treatment options (often emphasizing surgery), only 16.88% explained GGN etiology, and systematic guidance on risk stratification was frequently lacking. Professionally produced videos (surgeons/radiologists) scored significantly higher than patient-generated content. Although Bilibili had higher median GQS scores (3.00 Conclusions: Current short-video algorithms prioritize engagement over clinical accuracy, resulting in fragmented health information that may distort patients' risk perception of GGNs. While professionals produce higher-quality content, the overall reliability remains suboptimal. Clinicians must be aware of these online information deficits to proactively address patient anxiety and correct misconceptions during consultations, ensuring adherence to evidence-based surveillance pathways.
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