Evidence map›Paper›PMID 35386475›Full record

ArticleCureus2022

Evaluation of the Reliability and Quality of YouTube Videos on Ovarian Cysts.

Cengiz Andan, Mustafa F Aydin

Open access · diamondAbstract 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.0field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

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  6. Popular science and education of cosmetic surgery in China: Quality and reliability evaluation of Douyin short videos.Health expectations : an international journal of public participation in health care and health policy · 2023
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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

2 authors at 2 institutions in 2 countries.

Cengiz AndanObstetrics and Gynecology, TC Ministry of Health, Health Sciences University Gazi Yasargil Diyarbakır Training and Research Hospital, Diyarbakir, TUR.
Mustafa F AydinObstetrics and Gynecology, TC Ministry of Health, Health Sciences University Gazi Yasargil Diyarbakır Training and Research Hospital, Diyarbakir, TUR.
Diyarbakır Gazi Yaşargil Eğitim ve Araştırma Hastanesi · TRMinistry of Health of the Russian Federation · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim The aim of this study is to investigate the quality and reliability of YouTube videos containing content related to ovarian cysts. Methods The search terms "Ovarian Cyst", "Ovarian Cyst Symptoms", "Ovarian Cyst Treatment", and "Ovarian Cyst Diagnosis" were searched on YouTube. A total of 110 videos were examined and repetitive videos, non-English videos, videos with advertising content, videos with entertainment and news content, and videos with very poor image and sound quality were excluded. Finally, the videos included in the study were evaluated using DISCERN and Global Quality Scale (GQS). Results It was found that 50 videos examined in this study were uploaded between the years 2014 and 2020, with an average of 492.252 ± 710.768 and a total of 24.612.595 views. The mean DISCERN score given to 50 videos analyzed by two researchers was 2.81 ± 1.3 and the mean GQS score was 2.88 ± 1.4. When we divided the scores given to the videos by two researchers into three groups, it was determined that 27 (54%) of the 50 videos were in the misleading/poor quality group, nine (18%) were in the medium quality group, and 14 (28%) were in the useful/quality group. Conclusion It has been determined that the videos with "ovarian cyst" content on YouTube are generally of poor quality. Bad quality videos were uploaded by non-doctors and attracted more attention than videos uploaded by doctors.

Indexed as

discerngqsinternetovarian cystyoutube

Identifiers

PMID35386475
PMCPMC8969909
OpenAlexW4214690665

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.