Evidence map›Paper›PMID 39872782›Full record

ArticleWorld journal of gastrointestinal surgery2025

Minimally invasive pancreaticoduodenectomy: A bibliometric method applied to the top one hundred cited articles.

Jia-Jie Feng, Yi-Wen Zhao, Hong-Yin Liang, Ke-Xin Jiang, Rui-Wu Dai

Abstract read
In one paragraph

Article in World journal of gastrointestinal surgery, 2025. 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

5 authors.

Jia-Jie FengGeneral Surgery Center, General Hospital of Western Theater Command, Chengdu 610000, Sichuan Province, China.
Yi-Wen ZhaoGeneral Surgery Center, General Hospital of Western Theater Command, Chengdu 610000, Sichuan Province, China.
Hong-Yin LiangGeneral Surgery Center, General Hospital of Western Theater Command, Chengdu 610000, Sichuan Province, China.
Ke-Xin JiangCollege of Medicine, Southwest Jiaotong University, Chengdu 610000, Sichuan Province, China.
Rui-Wu DaiGeneral Surgery Center, General Hospital of Western Theater Command, Chengdu 610000, Sichuan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMinimally invasive pancreaticoduodenectomy (MIPD) is considered one of the most complex procedures in general surgery. The number of articles on MIPD has been increasing annually. However, published reports often have complex research directions, and the focal points frequently change. Therefore, a comprehensive review and organization of the literature in this field is necessary.

aimTo summarize current research, predict future hotspots and trends, and provide insights for MIPD development.

methodsTo conduct the study, the Web of Science Core Collection was searched for relevant articles. The analysis focused on the top 100 articles in the field. Two widely used bibliometric tools, CiteSpace and VOSviewer, were used to examine various aspects, including research directions, authors, countries, institutions, journals, and keywords.

resultsThe top 100 articles were published between 2005 and 2022, with the majority originating from the United States (

conclusionThe most influential studies predominantly originate from the United States, and there is growing interest in robotic surgery. Despite MIPD's potential benefits, further research is required to address technical challenges and improve outcomes.

Indexed as

Bibliometric analysisCitation analysisLaparoscopic surgeryMinimally invasive pancreatoduodenectomyRobotic surgery

Identifiers

PMID39872782
PMCPMC11757197

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.