Evidence map›Paper›PMID 39678716›Full record

ArticleJournal of multidisciplinary healthcare2024

Video Quality Assessment and Analysis of Gastroesophageal Reflux Disease on TikTok and Bilibili: Cross-Sectional Study.

Ying Liang, Jianlei Xia, Wenting Huo, Bangjie Liu, Zhangyu Wang, Yanbing Ding, Keyan Wu

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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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.

Ying Liang *Department of Gastroenterology, The Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, People's Republic of China.ORCID 0009-0001-6741-2590
Jianlei Xia *Department of Gastroenterology, The Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, People's Republic of China.
Wenting HuoDepartment of Gastroenterology, The Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, People's Republic of China.
Bangjie LiuDepartment of Gastroenterology, The Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, People's Republic of China.
Zhangyu WangDepartment of Gastroenterology, The Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, People's Republic of China.
Yanbing DingDepartment of Gastroenterology, The Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, People's Republic of China.
Keyan WuDepartment of Gastroenterology, The Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, People's Republic of China.ORCID 0000-0003-1635-9862

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims and Objectives: To assess the content quality and reliability of Gastroesophageal reflux disease (GERD) videos on TikTok and Bilibili. Background: Since many people with GERD use current online platforms to search for health information, there is a need to assess the quality of GERD videos on social media. There are many GERD videos on TikTok and Bilibili; however, the quality of information in these videos remains unknown. Design: A cross-sectional survey on two video platforms. Methods: In November 2023, we retrieved 200 videos from TikTok and Bilibili with the search term "GERD." Basic video information was extracted, the content coded, and the video source identified. Two independent raters assessed the quality of each video using the Journal of the American Medical Association (JAMA) benchmark criteria, the modified DISCERN (mDISCERN) criteria, and the Global Quality Score (GQS) tool. Results: A total of 156 videos were collected. Most of the videos on TikTok and Bilibili came from gastroenterologists. TikTok's GERD video quality and reliability were higher than Bilibili's. The mDISCERN and GQS scores of both platforms were positively correlated with duration, and the GQS score was positively correlated with collection and shares. Bilibili's JAMA score was negatively correlated with time-sync comments, and TikTok's JAMA score was negatively correlated with days since upload. Conclusion: This study indicated that the content quality scores of TikTok and Bilibili as sources of scientific information on GERD are average, and patients should carefully identify and select to watch GERD-related videos on TikTok and Bilibili. Relevance to Clinical Practice: By evaluating the quality of videos on GERD on the two platforms, this can provide new ideas for health education interventions in the clinic and a relevant basis for improving the quality level of the videos.

Indexed as

gastroesophageal reflux diseasehealth educationonline health information-seekingonline videoqualitysocial media

Identifiers

PMID39678716
PMCPMC11646458

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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.