ArticleMedicine2026
Cross-sectional analysis of the reliability and engagement metrics of YouTube videos on semaglutide for weight loss.
Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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
1 citing paper in PubMed.
- Quality and reliability of semaglutide-related health information on Chinese short-video platforms: a cross-sectional study of Bilibili and TikTok.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to assess the quality and reliability of health information in the 100 most-viewed YouTube videos related to semaglutide for weight loss, as of December 2024. The study also explored the relationship between engagement metrics and content quality, with attention to the prevalence of misinformation. A cross-sectional evaluation was conducted in December 2024. The top 100 English-language YouTube videos retrieved using the search term "semaglutide weight loss" were analyzed. Each video was assessed using 2 validated tools: the Global Quality Score and the Modified DISCERN (quality assessment tool for consumer health information) instrument. Viewer engagement data - including likes, comments, and views - were recorded. Statistical analyses included descriptive statistics and multiple linear regression to examine relationships between engagement metrics and content quality. Videos from academic and healthcare-affiliated sources generally scored higher in quality assessments, while those produced by individual users tended to lack source citations and balanced information. Although certain engagement metrics, such as the number of likes and comments, showed modest associations with higher Global Quality Scores, view count did not consistently predict quality. A notable portion of user-generated videos lacked discussion of semaglutide's risks and contraindications. The study highlights the variability in quality among semaglutide-related videos on YouTube. Engagement does not necessarily reflect the reliability of content, underscoring the importance of guiding viewers toward credible health sources. Enhancing digital health literacy and promoting greater visibility of evidence-based content may help improve the quality of health information encountered on widely used digital platforms.
Indexed as
Identifiers
What OpenQuestion holds
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.