Evidence map›Paper›PMID 41927958›Full record

SynthesisAnnals of surgical oncology2026

Comparison of Perioperative and Oncologic Outcomes Between Robotic and Open Retroperitoneal Lymph Node Dissection in Testicular Cancer: A Systematic Review and Meta-analysis.

Pan Zhao, Xiaojun Tan, Ye Xie, Ran Deng, Fang Peng

Abstract readSystematic ReviewMeta-AnalysisComparative Study
PubMed Publisher
In one paragraph

Synthesis in Annals of surgical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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.

Pan ZhaoDepartment of Urology, Nanchong Central Hospital, The Second Clinical College, North Sichuan Medical College (University), Nanchong, Sichuan, China. zhaopanbz@163.com.
Xiaojun TanDepartment of Urology, Nanchong Central Hospital, The Second Clinical College, North Sichuan Medical College (University), Nanchong, Sichuan, China.
Ye XieDepartment of Urology, Nanchong Central Hospital, The Second Clinical College, North Sichuan Medical College (University), Nanchong, Sichuan, China.
Ran DengDepartment of Urology, Nanchong Central Hospital, The Second Clinical College, North Sichuan Medical College (University), Nanchong, Sichuan, China.
Fang PengDepartment of Otolaryngology, Nanchong Central Hospital, The Second Clinical College, North Sichuan Medical College (University), Nanchong, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to compare the perioperative and oncologic outcomes between robotic and open retroperitoneal lymph node dissection in patients with testicular cancer.

methodsThe study was conducted in accordance with the PRISMA guidelines, and quality assessment was performed following the AMSTAR criteria. A systematic search was performed in Embase, PubMed, and Web of Science databases, with the search period up to July 2025. Statistical analysis was performed using Stata 17 software.

resultsThe current results showed that compared with open retroperitoneal lymph node dissection (O-RLND), robotic retroperitoneal lymph node dissection (R-RPLND) had a shorter hospital length of stay (effect, - 3.68; 95 % confidence interval [CI], - 4.16 to - 3.21; P < 0.05), less estimated blood loss (effect, - 296.09; 95 % CI, - 416.62 to - 175.55; P < 0.05), and a lower overall complication rate (relative risk, 0.66; 95 % CI, 0.49-0.89; P < 0.05). Lymph node production and recurrence rate did not differ significantly between the two.

conclusionRobotic retroperitoneal lymph node dissection appears to be safer than O-RLND and has a faster postoperative recovery. Oncologic outcomes did not differ significantly, but more research is needed to explore further.

Indexed as

Lymph Node ExcisionRobotic Surgical ProceduresTesticular NeoplasmsHumansLength of StayMalePrognosisRetroperitoneal SpaceOpenRetroperitoneal lymph node dissectionRoboticTesticular cancer

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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.