Evidence map›Paper›PMID 41553618›Full record

ArticleJournal of robotic surgery2026

Do likes reflect quality? Engagement metrics and information reliability of robotic surgery short videos.

Haoran Dai, Jingyang Liu, Yuan Chen, Yao Yang, Yanling Zhou, Zhiwen Zheng, Zheng Gong, Xingfu Ma, Xianzuo Zhang, Junchen Zhu

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of robotic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Haoran DaiDepartment of Orthopedics, The Second Affiliated Hospital of Anhui University of Chinese Medicine, No.300 Shouchun Road, Luyang District, Hefei, Anhui Province, China.
Jingyang LiuDepartment of Orthopedics, The Second Affiliated Hospital of Anhui University of Chinese Medicine, No.300 Shouchun Road, Luyang District, Hefei, Anhui Province, China.
Yuan ChenDepartment of Orthopedics, The Second Affiliated Hospital of Anhui University of Chinese Medicine, No.300 Shouchun Road, Luyang District, Hefei, Anhui Province, China.
Yao YangDepartment of Orthopedics, The Second Affiliated Hospital of Anhui University of Chinese Medicine, No.300 Shouchun Road, Luyang District, Hefei, Anhui Province, China.
Yanling ZhouDepartment of Orthopedics, The Second Affiliated Hospital of Anhui University of Chinese Medicine, No.300 Shouchun Road, Luyang District, Hefei, Anhui Province, China.
Zhiwen ZhengDepartment of Orthopedics, The Second Affiliated Hospital of Anhui University of Chinese Medicine, No.300 Shouchun Road, Luyang District, Hefei, Anhui Province, China.
Zheng GongDepartment of Orthopedics, The Second Affiliated Hospital of Anhui University of Chinese Medicine, No.300 Shouchun Road, Luyang District, Hefei, Anhui Province, China.
Xingfu MaDepartment of Orthopedics, The Second Affiliated Hospital of Anhui University of Chinese Medicine, No.300 Shouchun Road, Luyang District, Hefei, Anhui Province, China. 34325620@qq.com.
Xianzuo ZhangDepartment of Orthopedics, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, No.17 Lujiang Road, Luyang District, Hefei, China. zhangxianzuo@ustc.edu.cn.
Junchen ZhuDepartment of Orthopedics, The Second Affiliated Hospital of Anhui University of Chinese Medicine, No.300 Shouchun Road, Luyang District, Hefei, Anhui Province, China. junchenzhu@ahtcm.edu.cn.

Funding

Anhui Provincial Clinical Medicine Research and Transformation Special Project 202427b10020069Anhui Provincial Research Preparation Plan 2022AH040074Natural Science Foundation of Anhui Province 2108085QH319the 2025 National Key Clinical Specialty - Orthopedics and Traumatology Targeted Clinical Research Project 2025gskkyk01
6 · The paper itself

Abstract

backgroundDespite the rapid rise of short-video platforms as health information sources, the informational quality of robotic-surgery videos-an area requiring precise clinical explanation-remains insufficiently studied.

objectiveTo compare the quality and reliability of robotic-surgery videos on TikTok and Bilibili and determine how platform features and uploader identity shape content quality.

methodsWe conducted a cross-sectional analysis of 200 videos (100 per platform) scored using the Global Quality Score (GQS) and modified DISCERN (mDISCERN). Videos were coded by uploader type and theme, and group differences and predictors were examined with nonparametric tests and multivariable regression.

resultsTikTok videos drew more engagement, but Bilibili posts were longer and scored higher on GQS and mDISCERN. Professional uploaders produced the most reliable content. Engagement metrics correlated with each other yet did not predict quality in regression.

conclusionsOn short-video platforms, visibility and scientific accuracy diverge-highlighting the need for professional involvement, quality-sensitive governance, and stronger public digital health literacy.

Indexed as

Robotic Surgical ProceduresVideo RecordingCross-Sectional StudiesDigital MediaHealth LiteracyHumansReproducibility of ResultsBilibiliHealth communicationRobotic surgeryShort-video platformsTikTokVideo quality

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.