Evidence map›Paper›PMID 42474844›Full record

SynthesisJournal of robotic surgery2026

Technical advancements in robot-assisted radical prostatectomy: systematic review and bibliometric analysis.

Abdul Kalam, Guoyu Zuo, Fahad Sabah

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of robotic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Abdul KalamSchool of Information Science and Technology, Beijing University of Technology, 100124, Beijing, China.
Guoyu ZuoSchool of Information Science and Technology, Beijing University of Technology, 100124, Beijing, China.
Fahad SabahCollege of Computer Science, Beijing University of Technology, 100124, Beijing, China. fahad.sabah@bjut.edu.cn.

Funding

National Natural Science Foundation of China 61873008
6 · The paper itself

Abstract

Robot-assisted radical prostatectomy has transformed the surgical management of localized prostate cancer, yet its research landscape remains incompletely mapped. We conducted a systematic review and bibliometric analysis of 578 articles and conference papers from Scopus and Web of Science (2005-2026), following PRISMA guidelines, and analyzed publication trends, geographic and institutional distribution, author networks, journal output, keyword co-occurrence, and thematic evolution. The results reveal exponential growth in research, with an inflection around 2015-2016 and accelerated momentum after 2020, reflecting the widespread adoption and maturation of robotic programs. The United States leads in publication volume, followed by Italy and the rapidly growing contribution of China, while The University of Turin (Italy) emerges as the most productive institution due to its pioneering Retzius-sparing approach; the Journal of Robotic Surgery remains the leading publication venue. Thematic analysis demonstrates a progression from early feasibility studies to the standardization of nerve-sparing and continence-preserving techniques, advancing toward single-port surgery, augmented reality navigation, and AI-assisted intraoperative decision-making. Emerging technologies such as augmented reality, the NeuroSAFE protocol, and deep learning models for outcome prediction are particularly transformative, and geographic disparities are highlighted as critical priorities for future research.

Indexed as

BibliometricsProstatectomyProstatic NeoplasmsRobotic Surgical ProceduresHumansMaleOrgan Sparing TreatmentsBibliometric analysisNerve-sparing techniquesRobot-assisted radical prostatectomySurgical innovationSystematic review

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.