Evidence map›Paper›PMID 39804093›Full record

ArticleTurkish archives of pediatrics2025

Celiac Disease in Children and YouTube: Do the Videos Contain Accurate Information?

Abdulkerim Elmas, Mustafa Akcam

Abstract read
In one paragraph

Article in Turkish archives of pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Abdulkerim ElmasDivision of Pediatric Gastroenterology, Department of Pediatrics, Hepatology and Nutrition, Süleyman Demirel University School of Medicine, Isparta, Türkiye.
Mustafa AkcamDivision of Pediatric Gastroenterology, Department of Pediatrics, Hepatology and Nutrition, Süleyman Demirel University School of Medicine, Isparta, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Celiac disease (CD) is a gluten-associated enteropathy whose incidence has been increasing in recent years. Parents whose children are diagnosed with CD search for information about the disease via the internet. YouTube is one of the most frequently used platforms to access information due to the number of users and ease of access. This study aims to investigate how much quality and reliable information the most frequently viewed videos contain for families seeking information about celiac disease in children via YouTube. Materials and Methods: On November 13, 2023, a global search for "Celiac in Children" was conducted on YouTube. The first 150 videos were evaluated using the most frequently watched video filter, and 86 eligible videos were included in the study. Journal of the American Medical Association (JAMA), Global Quality Scale (GQS), and modified DISCERN (ModDISCERN) scoring were performed for quality and reliability of the videos. Results: Thirty-five of the videos (40.7%) were related to childhood CD. When analyzed according to the upload source, 67 (77.9%) were created by healthcare professionals (doctors, nurses, dietitians, etc.) and 19 (22.1%) by independent users. Of all videos, 62% were of very poor and poor quality (1 and 2 points). Videos created by healthcare professionals had higher JAMA scores, GQS scores, and ModDISCERN scores (P = < .001/P =< .001/P =< .001/P =< .001/P =< .001/P =< .001, respectively). Conclusion: The quality and reliability of the most frequently watched YouTube videos about CD in children were generally low. At this point, analyzing videos on medical topics by experts and adding them to the search algorithm according to the scores will help users access reliable information.

Identifiers

PMID39804093
PMCPMC11736802

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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.