Evidence map›Paper›PMID 40376475›Full record

ArticleCurrent urology2025

Robot-assisted laparoscopic retroperitoneal lymph node dissection in testicular cancer using a single-position supine approach: A case report and literature review.

Lei Zhou, Kun Yao, Chao Li, Wei Xiong, Weibin Hou, Bingzhi Wang, Long Xu, Long Wang

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Current urology, 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

8 authors.

Lei ZhouDepartment of Urology, The Third Xiangya Hospital, Central South University, Changsha, China.
Kun YaoDepartment of Urology, The Third Xiangya Hospital, Central South University, Changsha, China.
Chao LiDepartment of Urology, The Third Xiangya Hospital, Central South University, Changsha, China.
Wei XiongDepartment of Urology, The Third Xiangya Hospital, Central South University, Changsha, China.
Weibin HouDepartment of Urology, The Third Xiangya Hospital, Central South University, Changsha, China.
Bingzhi WangDepartment of Urology, The Third Xiangya Hospital, Central South University, Changsha, China.
Long XuNursing Department, The Third Xiangya Hospital, Central South University, Changsha, China.
Long WangDepartment of Urology, The Third Xiangya Hospital, Central South University, Changsha, China.ORCID https://orcid.org/0000-0003-4583-2428

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This case study demonstrates a single-position supine approach for robotic retroperitoneal lymph node dissection (R-RPLDN) for the treatment of nonseminomatous germ cell tumors and residual masses after chemotherapy. We performed a bilateral R-RPLDN in a 33-year-old man with nonseminomatous germ cell tumors and residual postchemotherapy masses. For this approach, the patient was placed in a steep Trendelenburg position, and a 5-port transperitoneal technique was used, with the robot docked so that the arms were oriented cephalad. This approach allowed simultaneous access to both sides of the retroperitoneum, thereby eliminating the need for bilateral lymphadenectomy and patient repositioning. Bilateral R-RPLDN was performed using a single-position supine approach. This versatile approach offers a less invasive, more efficient, and safer solution for removing residual postchemotherapy testicular cancer masses.

Indexed as

Nonseminomatous germ cell tumorRetroperitoneal lymph node dissectionRobotic surgerySingle-position supine approach

Identifiers

PMID40376475
PMCPMC12076469

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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.