Evidence map›Paper›PMID 35371738›Full record

ArticleCureus2022

Evaluation of the Accuracy and Quality of Information in Videos About Lateral Epicondylitis Shared on Internet Video Sharing Services.

Bekir Karagoz, Murat Bakir, Tolga Kececi

Abstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

3 authors.

Bekir KaragozDepartment of Orthopaedics and Traumatology, Adıyaman University Training and Research Hospital, Adıyaman, TUR.
Murat BakirDepartment of Orthopaedics and Traumatology, Health Sciences University, Sultan Abdulhamid Han Training and Research Hospital, Istanbul, TUR.
Tolga KececiDepartment of Orthopaedics and Traumatology, Ordu University Training and Research Hospital, Ordu, TUR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose In this study, it was aimed to determine the quality and accuracy of the videos on YouTube about lateral epicondylitis. Methods The first 100 videos were included in the study by typing the keyword "lateral epicondylitis" in the YouTube search tab without using any filters. The video power index (VPI) was used to evaluate the popularity of the videos, and the global quality score (GQS), Journal of the American Medical Association (JAMA), and DISCERN scoring systems were used to evaluate the quality. The obtained data were statistically analyzed according to these scoring systems. Results The mean DISCERN, JAMA, and GQS of the analyzed videos were 46.66, 3.13, and 3.85, respectively. According to these results, it was determined that the videos were of medium quality. A statistically insignificant and weak correlation was found between the VPI and DISCERN, GQS, and JAMA scores (p>0.05, intraclass correlation coefficient, ICC: -0.05, 0.09, and -0.05, respectively). While there was no significant relationship between the video source and the DISCERN, JAMA, and GQS scores (p>0.05), it was determined that the DISCERN, JAMA, and GQS scores in the exercise videos were significantly higher than in the other content types in terms of the video content (p=0.041). Conclusions According to the results obtained, it was determined that YouTube videos about lateral epicondylitis were not of sufficient quality. In order to ensure standardization for quality videos, internationally acceptable guidelines should be determined and studies should be carried out to provide an adequate infrastructure for the preparation of quality medical videos that can meet the increasing needs of patients by health institutions.

Indexed as

lateral epicondylitispatient educationqualityvideoyoutube

Identifiers

PMID35371738
PMCPMC8958132

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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.