Evidence map›Paper›PMID 37380938›Full record

ReviewJournal of robotic surgery2023

The future of robotic pancreaticoduodenal surgery: a bibliometric analysis.

Yiwen Zhao, Jiajie Feng, Hongying Liang, Kexin Jiang, Lichen Zhou, Zhirong Zhao, Hua Ji, Zheng Tang, Ruiwu Dai

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of robotic surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
–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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
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

9 authors.

Yiwen Zhao *College of Clinical Medicine Southwest, Medical University, Luzhou, 646000, Sichuan Province, China.
Jiajie Feng *College of Clinical Medicine Southwest, Medical University, Luzhou, 646000, Sichuan Province, China.
Hongying LiangCollege of Medicine, Southwest Jiaotong University, Chengdu, China.
Kexin JiangCollege of Medicine, Southwest Jiaotong University, Chengdu, China.
Lichen ZhouCollege of Clinical Medicine Southwest, Medical University, Luzhou, 646000, Sichuan Province, China.
Zhirong ZhaoCollege of Medicine, Southwest Jiaotong University, Chengdu, China.
Hua JiCollege of Clinical Medicine Southwest, Medical University, Luzhou, 646000, Sichuan Province, China.
Zheng TangCollege of Clinical Medicine Southwest, Medical University, Luzhou, 646000, Sichuan Province, China.
Ruiwu DaiCollege of Clinical Medicine Southwest, Medical University, Luzhou, 646000, Sichuan Province, China. dairuiwu@swjtu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesRobotic pancreaticoduodenectomy (RPD) has garnered significant research attention in the last decade. However, no bibliometric studies have been conducted on this field yet. Therefore, the aim of this study is to provide an up-to-date analysis of the current state of research, as well as future trends and hotspots in RPD, through a bibliometric analysis. MATERIALS AND

methodsWe conducted a thorough search of all literature related to RPD in the Web of Science Core Collection (WoSCC). We then analyzed this literature for a variety of factors, including authorship, country of origin, institutional affiliations, and keywords. To visualize our findings, we utilized Citespace 6.1.R3, which enabled us to create network visualization maps, perform cluster analysis, and extract burst words.

resultsA total of 264 articles were retrieved. Zureikat is the author with the largest contribution in this field, and Surgical Endoscopy and Other International Techniques is the journal with the largest number of papers in this field. The United States is the core research country in this field. The University of Pittsburgh is the most productive institution. According to the data, outcome, pancreas fistula, definition, risk factor, stay, survival, learning curve and experience are recognized as research hotspots in this field.

conclusionsThis study is the first bibliometric study in the field of RPD. Our data will help us better understand the development trend of the field, and determine research hotspots and research directions. The research results provide practical information for other scholars to understand key directions and cutting-edge information.

Indexed as

RoboticsRobotic Surgical ProceduresBibliometricsHumansPancreasPancreatectomyBibliometric analysisMinimally Invasive PancreatoduodenectomyRobot

Identifiers

PMID37380938

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.