Evidence map›Paper›PMID 42606641›Full record

ArticleJournal of robotic surgery2026

Global research trends in pelvic lymph node dissection during robot-assisted radical prostatectomy: a bibliometric and knowledge-mapping analysis.

Xiaobin Chen, Abdul Karim Sairah, Tao Wu

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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

3 authors.

Xiaobin ChenDepartment of Urology, Affiliated Hospital of North Sichuan Medical College, South Maoyuan Road, Shunqing District, Nanchong, 637000, China.
Abdul Karim SairahFaculty of Health and Life Sciences, Management and Science University, Seksyen 13, Shah Alam, 40100, Selangor, Malaysia. sairah@msu.edu.my.
Tao WuDepartment of Urology, Affiliated Hospital of North Sichuan Medical College, South Maoyuan Road, Shunqing District, Nanchong, 637000, China. alhawking@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pelvic lymph node dissection (PLND) remains central to pathological nodal staging during robot-assisted radical prostatectomy (RARP), although its optimal extent, therapeutic contribution, and morbidity profile remain debated. A corpus of 417 English-language articles and reviews indexed in the Web of Science Core Collection up to 16 July 2026 was analysed to delineate the development and knowledge structure of PLND research associated with RARP. Bibliometric analyses were undertaken with VOSviewer, CiteSpace, bibliometrix, and Origin. Publication activity accelerated after 2020 and reached 50 records in 2024. The international collaboration network was led principally by the United States, Germany, and Italy. The cited literature and keyword structure were dominated by nodal-risk prediction, dissection templates, pathological staging, and perioperative complications, whereas recent studies increasingly addressed lymphocele prevention, PSMA-based assessment, image-guided lymphadenectomy, evidence synthesis, and technical refinement of robotic approaches. These patterns indicate a change in research priorities rather than proof that any particular PLND strategy improves clinical outcomes. Future work should determine whether more accurate nodal assessment influences subsequent treatment or long-term oncological outcomes and should employ standardised templates, integrated risk models, and prospective multicentre endpoints.

Indexed as

BibliometricsLymph Node ExcisionProstatectomyProstatic NeoplasmsRobotic Surgical ProceduresHumansMalePelvisBibliometric analysisExtended pelvic lymph node dissectionKnowledge mappingPelvic lymph node dissectionProstate cancerRobot-assisted radical prostatectomy

Identifiers

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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.