ArticleAesthetic surgery journal2022
#CosmeticsTwitter: Predicting Public Interest in Nonsurgical Cosmetic Procedures Using Twitter Data.
Article in Aesthetic surgery journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 7 citations in OpenAlex.
- Energy-Based Medical Devices in Plastic Surgery: A Comparison of FDA-Approved Indications to Advertised Claims.Aesthetic surgery journal. Open forum · 2024Article
- The use of Google Trends and Twitter data as a tool for evaluating public interest in hyaluronic acid eyelid filler.Journal of clinical and translational research · 2023Article
- Social media insights for neurosurgical oncologists: a survey of the American Association of Neurological Surgeons and Congress of Neurological Surgeons Joint Section on Tumors.Journal of neuro-oncology · 2023Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThe utilization of social media in plastic surgery is expanding. The Twitter Academic Research Product Tract (TARPT) database provides plastic surgeons the opportunity to monitor public interest in plastic surgery procedures. Previously, TARPT was shown to be effective in tracking public interest in surgical cosmetic facial and body procedures.
objectivesThe authors sought to determine the ability of the TARPT tool to track and predict public interest in nonsurgical cosmetic procedures and to examine temporal public interest trends in nonsurgical cosmetic procedures.
methodsThe authors employed the TARPT tool to calculate the total number of tweets containing keywords related to 15 nonsurgical cosmetic procedures from 2010 to 2020. Annual case volumes were obtained for each of the 15 procedures from annual reports provided by the American Society of Plastic Surgeons. Univariate linear regression was employed to compare tweet volumes and procedure volumes, with P < 0.05 as a threshold for significance.
resultsUnivariate linear regression revealed significant positive correlations between tweet volumes and American Society of Plastic Surgeons procedure volumes for 10 search terms representing 6 nonsurgical cosmetic procedures: "xeomin," "microdermabrasion," "facial filler," "fat filler," "fat injections," "fat transfer," "hyaluronic acid filler," "hyaluronic acid injection," "HA filler," and "PRP filler." Thirty-two search terms did not demonstrate a significant relationship.
conclusionsThe TARPT tool is an informative data source for plastic surgeons with the potential to guide marketing and advertising strategies, and monitor public interest in nonsurgical cosmetic procedures, helping surgeons respond to patients' evolving needs.
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.