Evidence map›Paper›PMID 39880020›Full record

ArticleThe Angle orthodontist2025

Comparison of patient testimonials of orthognathic surgery on YouTube and TikTok.

Arianna Alvarado Garcia, Leah Rahman, Mathew J Gregoski, Ildeu Andrade

Abstract readComparative Study
In one paragraph

Article in The Angle orthodontist, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Arianna Alvarado Garcia
Leah Rahman
Mathew J Gregoski
Ildeu Andrade

Funding

South Carolina Clinical & Translational Research Institute (SCTR)UL1TR001450 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T., FLUME, PATRICK A · 2015 to 2024
$41.1M
NCATS NIH HHS UL1 TR001450
6 · The paper itself

Abstract

objectivesTo investigate and compare the educational value of the most popular testimonials between TikTok (TT) and YouTube (YT), and to classify the emotional response of viewers through sentiment analysis of video comments on both platforms involving orthodontic patients who will undergo orthognathic surgery. MATERIALS AND

methodsTwo distinct social media searches were conducted using specific search phrases on TT and YT. For each search phrase, 30 videos were gathered from each platform, and details such as number of views, likes, and comments were recorded for each video. Each video was then evaluated for completeness of information using an Information Completeness Score (ICS). A set of comments were collected for each video, and a Sentiment Analysis Score (SAS) was assigned using Azure Machine Learning.

resultsTT had a higher number of views, likes, and comments. YT videos had a significantly higher ICS than TT (P < .0001). No statistically significant difference was found when evaluating SAS between the platforms or across phrase groups (P > .05), and no relationship was found between views, likes, comments, and SAS or ICS.

conclusionsYT had higher-quality information within patient testimonials posted due to higher ICS values found than TT. Patient testimonials were not determined to have a positive or negative influence on potential patient opinions in either platform. Orthodontists should leverage their own TT profiles to help direct patients toward meaningful YT testimonials through informative video links.

Indexed as

Orthognathic SurgeryOrthognathic Surgical ProceduresPatient Education as TopicSocial MediaHumansVideo RecordingOrthognathic surgeryPatient testimonialSocial mediaTikTokYouTube

Identifiers

PMID39880020
PMCPMC11842115

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.