Evidence map›Paper›PMID 41793556›Full record

ArticleJournal of robotic surgery2026

Bridging the innovation-evidence chasm: a critical appraisal and roadmap for robotic pancreatic cancer surgery.

Jinxin Zhu, Jiarui Jiang, Muyue Liu, Weikang Hu, Jianzhen Lin, Kuirong Jiang

Abstract read
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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

6 authors.

Jinxin ZhuPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, Jiangsu Province, China.
Jiarui JiangPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, Jiangsu Province, China.
Muyue LiuPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, Jiangsu Province, China.
Weikang HuPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, Jiangsu Province, China.
Jianzhen LinPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, Jiangsu Province, China.
Kuirong JiangPancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, Jiangsu Province, China. jiangkuirong@njmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer remains one of the most lethal malignancies globally, with its surgical management undergoing profound transformation driven by minimally invasive approaches, particularly robot-assisted systems. This study employs bibliometric analysis combined with thematic synthesis to delineate the research evolution, knowledge structure, and emerging trends in robot-assisted pancreatic surgery from 1999 to 2025. Using CiteSpace software, we analyzed 202 publications from the Web of Science database. Our analysis revealed a distinct three-phase evolutionary trajectory: an emergence phase (1999–2010) focused on technical feasibility, a rapid development phase (2011–2021) emphasizing procedural standardization, and a recent maturation phase (2022–2025) shifting toward outcome evaluation and collaborative research. The knowledge structure has evolved from a singular surgical focus to a multidimensional network encompassing tumor biology, precision imaging, and patient-centered outcomes. “Robotic surgery” serves as a key bridging node connecting these domains. Burst keyword analysis highlights the recent emergence of “international study group,” “cohort studies,” and “surgical outcomes” as predominant research fronts. Collaborative network analysis reveals the United States as the leading contributor, while Italy and Germany serve as crucial international hubs. China demonstrates substantial research output but limited integration into global collaborative networks. While bibliometric trends reflect significant research momentum and technological convergence, this analysis underscores the persistent gap between technical innovation and robust clinical evidence. Future advancement requires prioritized investment in international multicenter trials, standardized training protocols, and deeper integration of artificial intelligence and molecular navigation technologies to substantiate clinical value and improve patient outcomes in this challenging surgical domain.

Indexed as

PancreatectomyPancreatic NeoplasmsRobotic Surgical ProceduresBibliometricsHumansMinimally Invasive Surgical ProceduresBibliometricsKnowledge mappingMinimally invasive surgeryPancreatic cancerResearch trendsRobotic surgerySurgical innovation

Identifiers

What Socratic 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 Socratic graph.