Evidence map›Paper›PMID 38024061›Full record

ArticleCureus2023

Analysis of the Perception and Treatment of Osteoarthritis of the Knee Through Social Media: An Observational Study of the Top 100 Viral TikTok Videos.

Thomas I Hong, Sophie L Bernstein, Alejandra Ramirez, Alex Gu, Amil R Agarwal, David M Lutton, Sean Tabaie

Abstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  10. TikTok content as a source of health education regarding epicondylitis: a content analysis.Journal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology · 2024
    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

7 authors.

Thomas I HongOrthopaedic Surgery, George Washington University School of Medicine and Health Sciences, Washington DC, USA.
Sophie L BernsteinOrthopaedic Surgery, University of Missouri-Kansas City School of Medicine, Kansas City, USA.
Alejandra RamirezOrthopaedic Surgery, George Washington University School of Medicine and Health Sciences, Washington DC, USA.
Alex GuOrthopaedic Surgery, George Washington University School of Medicine and Health Sciences, Washington DC, USA.
Amil R AgarwalOrthopaedic Surgery, George Washington University School of Medicine and Health Sciences, Washington DC, USA.
David M LuttonOrthopaedic Surgery, George Washington University School of Medicine and Health Sciences, Washington DC, USA.
Sean TabaieOrthopaedic Surgery, Children's National Hospital, Washington DC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTikTok is a popular platform that can be used for medical insights. However, spreading inaccurate information about diagnosing or treating medical conditions can undermine the quality of patient care. Our assessment focused on the discourse surrounding knee osteoarthritis on TikTok, with two primary objectives: 1) identifying the creators behind osteoarthritis-related content, and 2) examining whether a connection exists between the reach of video content and the strength of recommendations provided.

methodsThe top 100 TikTok videos were chosen based on likes on March 29, 2023. Posts were identified using the hashtag ("#Osteoarthritis"). Videos were classified by the following: number of likes, comments, shares, date of upload, uploader (medical professional, non-medical professional, or business), and video content (medical treatment, home remedy, personal story). Treatments were rated according to the American Academy of Orthopaedic Surgeons (AAOS) Evidence-Based Clinical Practice Guideline for Osteoarthritis using the strength of evidence criteria (1-4 stars). Descriptive and univariate analyses were performed.

resultsAmong the top videos, 67.7% were uploaded by medical professionals. Private companies, despite having the highest average likes (29,681.2) and shares (1,367.5) per video, had a limited average evidence strength of 2.13. Physician-created videos had the second-highest average number of likes (25,440.1) and shares (1,224.5) per video with a strength of evidence of 3.03. Non-medical professional videos had the lowest evidence support (0.89). Medical treatments, the most liked and shared content, had the lowest evidence strength (1). There was no statistically significant correlation between the number of likes (p=0.808), comments (p=0.647), or shares (p=0.439) to the strength of evidence regarding the intervention. DISCUSSION: TikTok can be unreliable for knee osteoarthritis treatment information. It is common to find non-physicians sharing medical advice on the platform, with medical treatments demonstrating the weakest level of supporting evidence. Orthopaedic surgeons should advise their patients that TikTok treatment recommendations may not align with established guidelines.

Indexed as

evidence-based practiceknee treatmentmedical misinformationorthopaedic guidelinesosteoarthritispatient educationsocial mediatiktokvideo content analysis

Identifiers

PMID38024061
PMCPMC10630902

What OpenQuestion holds

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Registered trials

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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.