Evidence map›Paper›PMID 42156966›Full record

ArticleScientific reports2026

A cross-sectional study on the quality of pediatric autism-related videos on short video platforms.

Jiayi Ou, Caixia Sun, Liwei Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Jiayi OuThe School of Fine Arts and Design, Guangzhou University, Guangzhou, 510006, China.
Caixia SunSchool of Education, Fuyang Normal University, Fuyang, 236037, China.
Liwei ZhangThe School of Fine Arts and Design, Guangzhou University, Guangzhou, 510006, China. gd531092@gzhu.edu.cn.

Funding

The Humanities and Social Sciences Project of Universities in Anhui Province 2025AHGXSK30314
6 · The paper itself

Abstract

This study evaluated the information quality, content characteristics, and distribution patterns of short videos concerning pediatric autism on three major Chinese platforms: TikTok, Bilibili, and Rednote. Employing a cross-sectional design, we retrieved videos using the keyword ''pediatric autism'' and analyzed 279 eligible entries. We collected basic video characteristics and engagement metrics, while video quality and reliability were assessed using the Global Quality Scale (GQS), the modified DISCERN (mDISCERN) instrument, the Journal of the American Medical Association (JAMA) criteria, and the Video Information and Quality Index (VIQI). Overall video quality was moderate, with a median GQS score of 3, but information reliability was poor, indicated by a median JAMA score of 1. Significant inter-platform differences emerged (p < 0.05): Bilibili videos were the longest, TikTok had the highest proportion of uploaders who were healthcare professionals (69.89%) and exhibited greater user engagement, whereas Rednote was dominated by individual users and contained a higher proportion of low-quality videos. Information on treatment costs was notably insufficient across all platforms. In conclusion, the quality of pediatric autism-related health information on short-video platforms varies substantially by platform, revealing a mismatch between available information and user needs. Enhancing professional content review mechanisms and encouraging greater participation by healthcare professionals could improve the dissemination of practical and reliable health information.

Indexed as

Autistic DisorderVideo RecordingChildCross-Sectional StudiesDigital MediaHumansReproducibility of ResultsAutism Spectrum DisorderCross-Sectional StudyHealth CommunicationInformation QualityShort Video

Identifiers

PMID42156966
PMCPMC13381674

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.