Evidence map›Paper›PMID 37692625›Full record

ArticleCureus2023

Study on the Quality, Relevance, and Comparability of YouTube Videos Expressing Stroke and Its Consequences From Various Sources.

Ankita Nanda, Manoj M N, Geethiikha Jammula, Udvas Sen, Nikhitha Konda, Iorwuese Ali Daniel, Rachel Mary Manoj

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 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

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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

7 authors.

Ankita NandaInternal Medicine, Ranga Raya Medical College, Kakinada, IND.
Manoj M NInternal Medicine, Bangalore Medical College and Research Institute, Bangalore, IND.
Geethiikha JammulaInternal Medicine, Guntur Medical College, Guntur, IND.
Udvas SenInternal Medicine, Agartala Government Medical College, Agartala, IND.
Nikhitha KondaInternal Medicine, Alluri Sitaramaraju Academy of Medical Sciences, Eluru, IND.
Iorwuese Ali DanielInternal Medicine, Sohar Extended Health Center, Sohar, OMN.
Rachel Mary ManojInternal Medicine, Nicolae Testemițanu State University of Medicine and Pharmacy, Chisinău, MDA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective Stroke-related deaths have been one of the major causes of death worldwide due to its rising risk factors. As a result, several people rely on YouTube as a great source of information on stroke without knowing the genuineness of the content. This study aims to assess the quality and reliability of the information on stroke uploaded on the YouTube platform using the Global Quality score (GQS) and DISCERN score (DS), respectively. Methodology A cross-sectional observational study was conducted in April 2023. Stroke-related keywords were used to search for videos on YouTube. Videos that met inclusion criteria were evaluated for baseline characteristics (likes, comments, views, duration of video, time since posted, and uploader type) and type of information in the video about stroke (symptoms, etiology, treatment, and other parameters). These videos were then evaluated for quality and reliability of information using GQS and DS, respectively. Results After applying inclusion and exclusion criteria and removing the duplicates, 73 YouTube videos were selected. The videos had a total number of 23,927,445 views, 385,324 likes, and 31,927 comments. Maximum videos were uploaded by hospitals (25, 34.2%). Several videos described the symptoms (54, 73.97%), treatment (50, 68.49%), and etiology (49, 67.12%) of stroke. The reach of videos measured by the Video Power Index (VPI) was highest for videos uploaded by healthcare organizations (mean VPI = 120.11). There was no statistically significant difference (

Indexed as

paralysisstrokestroke causestroke curestroke preventionstroke supportstroke treatment

Identifiers

PMID37692625
PMCPMC10492585

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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.