ArticleInternational ophthalmology2023
Quality analysis of YouTube videos about thyroid orbitopathy.
Article in International ophthalmology, 2023. 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, 6 citations in OpenAlex.
- How reliable is youtube as a platform for cochlear implant information?Irish journal of medical science · 2026Article
- Quality and reliability of YouTube videos on breast engorgement.International breastfeeding journal · 2026Article
- Quality and content evaluation of thyroid eye disease treatment information on TikTok and Bilibili.Scientific reports · 2025Article
- Videos on YouTube, Bilibili, TikTok as sources of medical information on Hashimoto's thyroiditis.Frontiers in public health · 2025Article
- TikTok as a potential patient educational tool for thyroid-associated ophthalmopathy: A cross-sectional 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
purposeTo evaluate the quality and reliability of YouTube videos about Thyroid Orbitopathy.
methodsA YouTube search was performed using the keyword 'Graves eye disease', 'thyroid eye disease', 'thyroid orbitopathy', 'thyroid ophtalmopathy' in the search bar of YouTube. The first 50 videos were analyzed for each keywords, and the first 100 videos that came out were included in the study. The numbers of views, likes, dislikes, comments, daily viewing rate (number of views per day), uploaded source, country of origin, video type (patient experience, scholarly information), and described treatment technique were evaluated for all videos. They were also evaluated regarding their DISCERN, Journal of the American Medical Association (JAMA), global quality score (GQS) and usefulness score by two independent ophthalmologists.
resultsOf the top 100 videos, 94 videos met the criteria. The mean DISCERN, JAMA, GQS and usefulness score were 55.27 ± 16.57, 3.04 ± 0.64, 3.44 ± 0.93 and 3.23 ± 1.1. If we look at the upload source 53 (56.4%) videos were uploaded by physicians, 30 (31.9%) videos by institutions/private health institutions, 7 (7.4%) videos by health channels, 4 (4.3%) videos by patients. All scoring systems showed a statistically significant and strong positive correlation with each other (p < 0.001). A statistically significant positive correlation between viewing rate, likes and comments was observed. As the duration of the video increased, a significant increase in the scores in other scores was observed.
conclusionWe observed that the tests we used in the scoring were correlated with each other. Most of the thyroid orbitopathy videos on YouTube were of good quality. Ophthalmologists should guide their patients who want to get information on YouTube to watch videos uploaded by health care professionals.
Indexed as
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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.