Evidence map›Paper›PMID 40755956›Full record

ArticleDigital health

Quality of cataract-related videos on TikTok and its influencing factors: A cross-sectional study.

Jiamin Cao, Feng Zhang, Ziyi Zhu, Wei Xiong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 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

4 authors.

Jiamin CaoDepartment of Ophthalmology, Third Xiangya Hospital, Central South University, Changsha City, Hunan Province, China.ORCID https://orcid.org/0000-0003-2498-3454
Feng ZhangDepartment of Ophthalmology, Third Xiangya Hospital, Central South University, Changsha City, Hunan Province, China.
Ziyi ZhuDepartment of Ophthalmology, Third Xiangya Hospital, Central South University, Changsha City, Hunan Province, China.
Wei XiongDepartment of Ophthalmology, Third Xiangya Hospital, Central South University, Changsha City, Hunan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Short videos are increasingly being used to disseminate health information. However, the quality of videos on common ophthalmic conditions such as cataract has not been systematically evaluated. Methods: This study employed a cross-sectional design. The TikTok platform was searched using the term "cataract" from 20:00 to 24:00 on 8 November 2024, without any restrictions. The top 100 retrieved videos were included in the study. They were rated using The Results: The top 100 videos had an average of 2009.1 likes, 795.65 comments, 2628.91 shares, and 554.08 saves. Their Conclusion: The quality of cataract-related short videos on platforms has room for improvement. Users may estimate video quality based on the identity of the content creator.

Indexed as

CataractGQS scaleJAMA benchmark criteriamodified DISCERN scorePEMAT-A/VTikTok

Identifiers

PMID40755956
PMCPMC12317240

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.