Mapping the scientific landscape of robotic hernia repair: a bibliometric and topic modeling analysis of thematic transitions.

Yongxuan Yuan, Liqun Wang, Lierui Chen, Qinpei Ke, Kangni Chen, Zhiyang Li, Jiehua Zheng

Abstract read

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

7 authors.

Yongxuan YuanDepartment of Thyroid, Breast and Hernia, The Second Affiliated Hospital, Shantou University Medical College, No.69 North Dongxia Road, Shantou, 515041, Guangdong, P.R. China.

Liqun WangDepartment of Thyroid, Breast and Hernia, The Second Affiliated Hospital, Shantou University Medical College, No.69 North Dongxia Road, Shantou, 515041, Guangdong, P.R. China.

Lierui ChenDepartment of Thyroid, Breast and Hernia, The Second Affiliated Hospital, Shantou University Medical College, No.69 North Dongxia Road, Shantou, 515041, Guangdong, P.R. China.

Qinpei KeDepartment of Thyroid, Breast and Hernia, The Second Affiliated Hospital, Shantou University Medical College, No.69 North Dongxia Road, Shantou, 515041, Guangdong, P.R. China.

Kangni ChenDepartment of Thyroid, Breast and Hernia, The Second Affiliated Hospital, Shantou University Medical College, No.69 North Dongxia Road, Shantou, 515041, Guangdong, P.R. China.

Zhiyang LiDepartment of Thyroid, Breast and Hernia, The Second Affiliated Hospital, Shantou University Medical College, No.69 North Dongxia Road, Shantou, 515041, Guangdong, P.R. China. s_zyli4@stu.edu.cn.

Jiehua ZhengDepartment of Thyroid, Breast and Hernia, The Second Affiliated Hospital, Shantou University Medical College, No.69 North Dongxia Road, Shantou, 515041, Guangdong, P.R. China. surgeon@stu.edu.cn.

Funding

Shantou Medical Science and Technology Planning Project 250724096495245

6 · The paper itself

Abstract

Robotic hernia repair (RHR) has profoundly transformed modern surgery, yet it remains intensely debated. To understand this dynamic field, bibliometric analysis offers a powerful tool to evaluate its evolving research trends. Our study presents a comprehensive bibliometric and machine learning analysis of 1,503 publications from 2003 to 2025. The literature demonstrates a growth trend (R

Indexed as

BibliometricsHerniorrhaphyRobotic Surgical ProceduresHumansMachine LearningBibliometric analysisHernia repairLDA modelRobotic surgery

Identifiers

PMID42319394

DOI10.1007/s11701-026-03534-y

PMCPMC13282322

What OpenQuestion holds

Textmetadata

LicenceCC BY

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.