ArticleProgress in orthodontics2018
"My Invisalign experience": content, metrics and comment sentiment analysis of the most popular patient testimonials on YouTube.
Article in Progress in orthodontics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Oral Health-Related Quality of Life throughout Treatment with Clear Aligners in Comparison to Conventional Metal Fixed Orthodontic Appliances: A Systematic Review.International journal of environmental research and public health · 2023Pooled it
- Evaluation of the information transmission of treatment with dental aligners in social media: empathetic language versus non-empathetic language.BMC oral health · 2025Trial
- Seven Dimensions Are Not Enough: Actively Disseminating Applied Behavior Analysis.Perspectives on behavior science · 2025Article
- "The Rise of At-Home Teeth Aligners: A Study on Patient Perceptions and Safety" in Al-Kharj, Saudi Arabia.Journal of pharmacy & bioallied sciences · 2025Article
- A Scoping Review of the Quality of Orthodontic Information on YouTube.Orthodontics & craniofacial research · 2025Article
- Evaluation of the Quality and Reliability of YouTubeTurkish journal of orthodontics · 2024Article
- A Comparison of ChatGPT and Fine-Tuned Open Pre-Trained Transformers (OPT) Against Widely Used Sentiment Analysis Tools: Sentiment Analysis of COVID-19 Survey Data.JMIR mental health · 2024Article
- Orthodontic Elastics: A Multivariable Analysis of YouTubeClinical, cosmetic and investigational dentistry · 2024Article
- Assessment of Arabic Web-Based Knowledge About Clear Aligners: An Infodemiologic Study.Cureus · 2023Article
- Perceived esthetics and value of clear aligner therapy systems: A survey among dental school instructors and undergraduate students.Dental press journal of orthodontics · 2023Article
- Article
- Information on the Internet about clear aligner treatment-an assessment of content, quality, and readability.Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie · 2022Article
- Teleorthodontics: Where Are We Going? From Skepticism to the Clinical Applications of a New Medical Communication and Management System.International journal of dentistry · 2022Review
- Quality of life in an adolescent orthodontic population.The Angle orthodontist · 2021Article
- Invisalign treatment from the patient perspective: A Twitter content analyses.Journal of clinical and experimental dentistry · 2021Article
- YouTube as a source of information about orthodontic clear aligners.The Angle orthodontist · 2020Article
- Sentiment Analysis in Health and Well-Being: Systematic Review.JMIR medical informatics · 2020Review
- The informative value and design of orthodontic practice websites in The Netherlands.Progress in orthodontics · 2020Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe aim of the study was to investigate the popularity, content of Invisalign patient testimonials on YouTube, as well as the sentiment of the related comments.
methodsUsing the term "Invisalign experience," the top 100 results on YouTube by view count were screened for English spoken patient videos that attracted comments. Video information (time since video upload, sponsorship), engagement metrics (comments, likes, dislikes, subscriptions), and views were collected. Videos were rated for information completeness (ICS), and comments were classified by origin and content. The emotional loading of the comments was measured using automated sentiment analysis.
resultsThe 40 reviewed testimonials scored an average ICS of 3.78 (SD 0.97). ICS, time since upload, and video duration did not appear to significantly influence the number of views, subscriptions, likes, dislikes, and comments. There was a statistically significant difference (P = 0.03) between mean positive (2.01, SD 0.95) and negative sentiment scores (- 1.90, SD 1.14). Commenter's status and overall comment on video were significantly associated with positive sentiment scores. There was a significant association between sponsorship, commenter's status, overall comment on video, focus of concern, perceived Invisalign's disadvantages, and increased negative sentiment scores.
conclusionsEngagement of audience and views of the most popular Invisalign patient testimonials were not significantly influenced by completeness of information, video duration, and lifespan. The sentiment of viewers' comments about Invisalign treatment was significantly more positive and was significantly associated with their status, content, and sponsorship of videos. Orthodontic trends on YouTube need to be cautiously monitored for planning interventions that improve patients' knowledge about orthodontics.
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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.