ArticleInternational journal of environmental research and public health2025
Exploring How Rheumatic Fever Is Portrayed on TikTok: A Descriptive Content Analysis.
Article in International journal of environmental research and public health, 2025. 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
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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
1 citing paper in PubMed.
- Gout, TikTok and misleading information: a content analysis.Rheumatology advances in practice · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
TikTok is a popular social media platform offering educational opportunities for health issues such as rheumatic fever, which primarily affects 4-19-year-olds globally. This content analysis aimed to explore the type of rheumatic fever content available and popular on TikTok and the role that rheumatic fever representation may play in shaping public understanding and attitudes. The top 100 TikTok video posts under the hashtag #rheumaticfever were examined. Descriptive statistics were used to summarize video metrics and deductive thematic analysis enabled the coding of video content. The majority of TikTok users creating rheumatic fever content were patients or family members of people suffering from rheumatic fever (42%), followed by health professionals (30%). Forty-three percent of videos had negative connotations and personal stories were the most commonly coded type of video (42%). In terms of rheumatic fever content, symptoms (
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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.