Evidence map›Paper›PMID 38058527›Full record

ArticleCureus2023

Misinformation About Orthopaedic Conditions on Social Media: Analysis of TikTok and Instagram.

Oluwadamilola Kolade, Roxana Martinez, Aderemi Awe, Justin M Dubin, Nima Mehran, Mary K Mulcahey, Sean Tabaie

Open access · diamondAbstract 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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
7.2field-weighted citation impact, top 2% of its field
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

21 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Social media best practices for the spine care professional.North American Spine Society journal · 2025
    Article
  6. TikTok and Orthopaedic Education: Engaging the Next Generation of Patients.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2025
    Article
  7. Article
  8. Article
  9. Assessing quality, reliability and accuracy of polycystic ovary syndrome-related content on TikTok: A video-based cross-sectional analysis.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025
    Article
  10. Article
  11. Article
  12. TikTok Videos Related to the Posterior Cruciate Ligament Have Low Educational Value.Arthroscopy, sports medicine, and rehabilitation · 2025
    Article
  13. Comparative Analysis of Knee Osteoarthritis Treatment Information on Popular Social Media Platforms.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Oocyte cryopreservation on TikTok and Instagram: Who is teaching whom?Journal of assisted reproduction and genetics · 2024
    Article
  18. Article
  19. 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
  20. 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 at 4 institutions in 1 country.

Oluwadamilola KoladeOrthopaedics, Howard University Hospital, Washington, USA.
Roxana MartinezOrthopaedics, Howard University Hospital, Washington, USA.
Aderemi AweOrthopaedic Surgery, Augusta University Medical College of Georgia, Augusta, USA.
Justin M DubinUrology/Andrology, Memorial Healthcare System, Miami, USA.
Nima MehranOrthopaedic Surgery, Kaiser Permanente Los Angeles Medical Center, Los Angeles, USA.
Mary K MulcaheyOrthopaedic Surgery, Loyola University Medical Center, Chicago, USA.
Sean TabaieOrthopaedic Surgery, Children's National Hospital, Washington, USA.
Children's National · USHoward University Hospital · USLoyola University Medical Center · USAugusta University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Social media outlets such as TikTok (TT) and Instagram (IG) have surged as a method to disseminate information. More recently, healthcare professionals have targeted this space as a means to provide medical education and advice. With the ever-growing content on these applications, there is significant variability and quality of material available, which can lead to the dissemination of misinformation. This study aims to evaluate the accuracy and popularity of content on common orthopaedic pathology on TT and IG. Methods Content on TT and IG related to six common orthopaedic conditions - achilles tendon tear, ACL tear, meniscus tear, tennis elbow, rotator cuff tear, and ankle sprains - was evaluated between April and June 2022. The top ten posts for the top two associated hashtags for each condition were reviewed. The quality of each post was analyzed using the DISCERN instrument, rating each on a scale of 1 to 5. Each post was characterized by the author's profession (physician, physical therapist, chiropractor, etc.) and content type (educational, testimonial, personal, promotional, and entertainment). Popularity and engagement metrics such as "comments," "likes," and "shares" were also collected. Results There were 165,666,490 views on TT and 9,631,015 views on IG amongst the six common aforementioned orthopaedic conditions. Content created by physicians had less overall engagement (16.1%) compared to content created by non-physicians (83.9%). The quality of content on average was low (mean misinformation index 2.04 ± 1.08 (1-5)

Indexed as

content qualityhealthcare professionalsinstagramorthopaedic surgerysocial mediatik tok

Identifiers

PMID38058527
PMCPMC10696526
OpenAlexW4389339229

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.