ArticleFrontiers in surgery2022
Assessment of videos related to lung nodules in China.
Article in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Quality and reliability of cervical spondylotic myelopathy-related content on TikTok and Bilibili: A cross-sectional analysis.Medicine · 2026Article
- Quality and reliability of cardiac rehabilitation-related short Chinese videos on Douyin and Bilibili: a cross-sectional content analysis.Frontiers in public health · 2026Article
- Content accuracy and reliability of pulmonary nodule information on social media platforms: a cross-platform study of YouTube, Bilibili, and TikTok.Frontiers in medicine · 2025Article
- Qualitative research on undergraduate nursing students' recognition and response to short videos' health disinformation.Heliyon · 2024Article
- Article
- Quality and Reliability of Liver Cancer-Related Short Chinese Videos on TikTok and Bilibili: Cross-Sectional Content Analysis Study.Journal of medical Internet research · 2023Article
- WeChat official accounts' posts on medication use of 251 community healthcare centers in Shanghai, China: content analysis and quality assessment.Frontiers in medicine · 2023Article
- Quality and reliability of prostate cancer-Videos on TikTok and Bilibili: Cross-sectional content analysis study.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: With the popularization of mobile phones and the development of the Internet, many patients use social media platforms to seek health information. Currently, TikTok, iQiyi, Bilibili, and Weibo are the most popular video platforms in China. Therefore, based on the above facts, this study estimated the quality of lung nodule videos taken in China using these platforms. Methods: The term "lung nodule" was searched on these platforms. Then, the first 30 videos were selected. Subsequently, some videos were excluded after they had been reviewed and analyzed, after which information on the features and sources of these videos was finally assessed using DISCERN, the Journal of the American Medical Association (JAMA) Benchmark Criteria, and the Hexagonal Radar Schema. Analysis was performed according to different groups. Results: 101 videos were included in this study. According to the different sources, although most videos were from physicians (71.3%), comprising those with shorter durations; faster updates; and more likes, comments, and shares; no significant difference in the scores were obtained. Moreover, regarding the different platforms, while Weibo had the highest update, TikTok had more likes, comments, and shares. Investigations also revealed that while score differences were recorded, most videos were rated "very poor" and "poor." Besides, hexagonal radar charts showed a severe deficiency of video information. Conclusions: Although the quality of most videos on the understudied social media platforms was poor, these platforms have huge potential. Therefore, caution should be exercised when using the platforms as information sources about lung nodules, and a better review and push system is needed.
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Registered trials
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.