ReviewBMC oral health2025
How useful are YouTube videos on labial frenectomy? A quality review.
Review in BMC oral health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed.
- Evaluating YouTube content on dental lasers: a clinical application-based quality and reliability study.BMC oral health · 2026Article
- Quality and guideline adherence of child-oriented toothbrushing videos on YouTube: a comparative study of Turkish and English content.BMC oral health · 2026Article
- Article
- Performance of ChatGPT in dental implant treatment planning: evaluation using the modified DISCERN, Global Quality Score, and accuracy-safety score.BMC oral health · 2026Article
- Stratified and combined analysis of the quality of lumbar spinal stenosis-related videos on major Chinese short video platforms.Frontiers in digital 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
backgroundThe labial frenulum plays a crucial role in oral health, and its surgical removal, known as frenectomy, is often necessary for various dental and orthodontic conditions. This study evaluated the quality and educational value of YouTube videos on labial frenectomy, highlighting potential misinformation risks in online health resources.
methodsA cross-sectional study was conducted via the search term "labial frenectomy" on YouTube, and 68 relevant videos were identified on the basis of predefined criteria. Content quality and credibility were evaluated via the total content score (TCS), video information and quality index (VIQI), modified DISCERN, global quality scale (GQS), Journal of the American Medical Association (JAMA), and Health on the Net Code (HONcode). The data were analyzed with the Kolmogorov‒Smirnov, Kruskal‒Wallis, and Bonferroni correction. Numerical variables were examined via Spearman's rho and point‒biserial correlation, whereas categorical variables were assessed via chi-square and Fisher's exact tests.
resultsTCS was positively correlated with GQS (r = 0.392; p < 0.001), VIQI (r = 0.379; p < 0.001), and modified DISCERN (r = 0.396; p < 0.001), indicating that higher-quality videos received better scores. The GQS was strongly correlated with the VIQI (r = 0.747), modified DISCERN (r = 0.711), and HONcode (r = 0.721; p < 0.001). A significant association was observed between TCS and presenter gender (p = 0.03), with higher-quality content more frequently found in videos featuring female presenters.
conclusionsYouTube videos on labial frenectomy generally provide low- to moderate-quality content and often lack reliability and medical accuracy. While they offer basic educational value, they should not replace professional guidance. Healthcare professionals should direct patients toward expert-reviewed, evidence-based sources to ensure comprehensive and accurate medical information.
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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.