ArticleJournal of medical Internet research2020
Fiction, Falsehoods, and Few Facts: Cross-Sectional Study on the Content-Related Quality of Atopic Eczema-Related Videos on YouTube.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 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.
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Who cites it
107 citing papers in PubMed, 136 citations in OpenAlex.
- Quality evaluation of short videos about insomnia on TikTok and Bilibili: A cross-sectional study.Medicine · 2026Article
- Evaluating the quality and reliability of rotator cuff injury related videos on Bilibili and TikTok: A cross-sectional analysis.Medicine · 2026Article
- Evaluating the reliability and quality of lupus nephritis educational content on TikTok and Bilibili: a cross-sectional content analysis.Lupus science & medicine · 2026Article
- Quality and content evaluation of anal fistula information on TikTok and Bilibili: A cross-sectional study.Medicine · 2026Article
- Healthcare Professionals Produce Higher Quality Content for Shoulder Dislocation on TikTok.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2026Article
- Evaluation of the quality and reliability of infertility information on Chinese social media platforms Bilibili and TikTok : a cross-sectional study.BMC public health · 2026Article
- Videos on Bilibili, TikTok, and Xiaohongshu as Sources of Medical Information on Adenoid Hypertrophy: Cross-Sectional Content Analysis.JMIR formative research · 2026Article
- Quality and reliability of short videos about long COVID on bilibili and tiktok: cross-sectional study under health community construction background in China.BMC public health · 2026Article
- The quality and reliability of short videos about chronic obstructive pulmonary disease on TikTok and Bilibili: a cross-sectional study.Journal of thoracic disease · 2026Article
- Quality and content evaluation of male HPV infection on Bilibili and TikTok: a cross-sectional study.Scientific reports · 2026Article
- Quality and reliability of pediatric inguinal hernia treatment information on TikTok and Bilibili.BMC pediatrics · 2026Article
- Article
- A cross-sectional study on the quality of IgA nephropathy videos on short video platforms.Scientific reports · 2026Article
- Evaluation of the quality of information on gouty arthritis on Chinese internet platforms: A cross-sectional comparative analysis.Medicine · 2026Article
- Integrating social media into modern dermatology - a cross-sectional study.Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG · 2026Article
- Assessing quality and reliability of online videos on peritoneal dialysis: a Douyin video-based study.Scientific reports · 2026Article
- Cross-sectional analysis of the quality of hemodialysis short videos on TikTok.Scientific reports · 2026Article
- Quality and guideline concordance of neonatal jaundice information on short-video platforms: implications for parental education and newborn safety.BMC pediatrics · 2026Article
- Content, quality, and reliability of gout-related videos on TikTok and Bilibili: A cross-sectional study.Medicine · 2026Article
- Bilibili and TikTok as sources of information on atrophic gastritis and the quality of their content.Scientific reports · 2026Article
47 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn recent years, YouTube has become a recognized source of medical information for health care consumers. Although YouTube has advantages in this context, there are potential dangers as videos may contain nonscientific, misleading, or even harmful information.
objectiveAs little is known about YouTube as a source of information on atopic dermatitis (AD), we investigated the content-related quality of AD videos and their perception among YouTube users.
methodsThe quality of the 100 most viewed AD videos was assessed by using the Global Quality Scale (GQS) and the DISCERN instrument. Videos were classified as "useful," "misleading," and "potentially harmful," and the correlations of viewers' ratings (likes) with the GQS and DISCERN scores were assessed.
resultsAmong the 100 videos, 68.0% (68/100) and 62.0% (62/100) were of poor and very poor scientific quality, respectively. Additionally, 32.0% (32/100) of the videos were classified as useful, 48.0% (48/100) were classified as misleading, and 34.0% (34/100) were classified as potentially harmful. Viewers' ratings did not correlate with the GQS and DISCERN scores. Overall, 50.0% (50/100) of the videos were posted by private individuals and promoters of complementary/alternative treatments, 42.0% (42/100) by therapeutical advertisers, and only 8.0% (8/100) by nonprofit organizations/universities.
conclusionsOur study demonstrated that two-thirds of the videos analyzed were below acceptable medical quality standards and that many videos were disseminating misleading or even dangerous content. Subjective and anecdotal content was overrepresented, and viewers did not appear to be able to distinguish between high- and low-quality videos. Health promotion strategies by professional medical organizations are needed to improve their presence and visibility on YouTube.
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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.