ArticleCureus2021
Skincare in Social Media: Analyzing Prominent Themes in Online Dermatologic Discussions.
Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Exploring the Lived Experience of Acne in the United States and the United Kingdom: Social Media Analysis.JMIR dermatology · 2026Article
- Creation and Initial Validation of the Skin Dysmorphia Scale: Time for a New Concept to Arise in the Medical Field.Journal of cosmetic dermatology · 2026Article
- Experiences of Social Media Users with Over the Counter Red Light Therapy Devices.The Journal of clinical and aesthetic dermatology · 2025Article
- Can social media encourage young Polish adults to visit a dermatologist? An original study.Postepy dermatologii i alergologii · 2025Article
- Reporting of Ethical Considerations in Qualitative Research Utilizing Social Media Data on Public Health Care: Scoping Review.Journal of medical Internet research · 2024Article
- Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review.Journal of medical Internet research · 2023Article
- Use of Social Media for Patient Education in Dermatology: Narrative Review.JMIR dermatology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionAs the size and influence of online dermatologic communities have developed significantly in recent years, literature concerning the relationship between social media and dermatology grows more important. One community of interest is r/SkincareAddiction, a forum of over 1.2 million members on Reddit that serves as both a support group and discussion aggregator sourcing information from multiple social media platforms.
methodsThis study reports on the qualitative analysis of 300 highly engaged posts to identify prominent themes in online dermatologic discussions and determine the extent of multiplatform interaction between Reddit and other dermatology-relevant social networks.
resultsResults of an inductive analysis indicate discussions place an emphasis on communicating advice and improving general wellbeing, comprising 71% of measured posts. However, a large portion of this counsel lacks evidence and pseudoscientific recommendations are often accepted as factual. Additionally, 31% of entries were drawn from alternative social media sites.
conclusionAssessing the prevalent points of discussion in dermatology-relevant communities can inform clinical practice and reveal alternative methods to advance the delivery of care. As patients increasingly seek health advice and support online, developing digital literacy in common dermatologic trends offers a unique opportunity to improve communication, disseminate evidence-based counsel, and combat misinformation in both clinical and online settings.
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.