Evidence map›Paper›PMID 40002222›Full record

ArticleCancers2025

Minimally Invasive One-Docking, Two-Target, and Three-Port Robotic-Assisted Nephroureterectomy: Redefining Surgical Approach.

Yarden Zohar, Ben Hefer, Itay Vazana, Muhammad H Jabareen, Rabea Moed, Elad Mazor, Emilio Charabati, Nimer Alsaraia, Nicola J Mabjeesh

Abstract read
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In one paragraph

Article in Cancers, 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

9 authors.

Yarden ZoharDepartment of Urology, Soroka University Medical Center, Faculty of Health Science, Ben-Gurion University of Negev, P.O. Box 151, Beer Sheva 84101, Israel.
Ben HeferDepartment of Urology, Soroka University Medical Center, Faculty of Health Science, Ben-Gurion University of Negev, P.O. Box 151, Beer Sheva 84101, Israel.
Itay VazanaDepartment of Urology, Soroka University Medical Center, Faculty of Health Science, Ben-Gurion University of Negev, P.O. Box 151, Beer Sheva 84101, Israel.
Muhammad H JabareenDepartment of Urology, Soroka University Medical Center, Faculty of Health Science, Ben-Gurion University of Negev, P.O. Box 151, Beer Sheva 84101, Israel.
Rabea MoedDepartment of Urology, Soroka University Medical Center, Faculty of Health Science, Ben-Gurion University of Negev, P.O. Box 151, Beer Sheva 84101, Israel.
Elad MazorDepartment of Urology, Soroka University Medical Center, Faculty of Health Science, Ben-Gurion University of Negev, P.O. Box 151, Beer Sheva 84101, Israel.
Emilio CharabatiDepartment of Urology, Soroka University Medical Center, Faculty of Health Science, Ben-Gurion University of Negev, P.O. Box 151, Beer Sheva 84101, Israel.
Nimer AlsaraiaDepartment of Urology, Soroka University Medical Center, Faculty of Health Science, Ben-Gurion University of Negev, P.O. Box 151, Beer Sheva 84101, Israel.
Nicola J MabjeeshDepartment of Urology, Soroka University Medical Center, Faculty of Health Science, Ben-Gurion University of Negev, P.O. Box 151, Beer Sheva 84101, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveNephroureterectomy (NU) is a challenging multi-quadrant surgical procedure that involves intra-infra- and retroperitoneal dissection. The introduction of the da Vinci Xi platform has further improved the minimally invasive approach. With the Xi robotic system, single docking for multi-quadrant dissection is now feasible and increasingly popular. Herein, we redefined the surgical technique by optimizing minimal port usage, maximizing template visualization, and utilizing the Xi platform's retargeting system, based on our experience with 15 patients.

methodsThis single-center cohort study was based on the experience of a single surgeon with 15 patients who underwent robotic radical nephroureterectomy (RRNU) between 2019 and 2024, performed via the one docking, three-port technique. Patient data were retrospectively collected and analyzed from the medical records.

resultsThe cohort's median age was 79 years, with male predominance of 80%. The median operative time was 133 min, with 60% of procedures completed within 150 min; longer times (>150 min) were due to additional intraoperative non-robotic procedures. Median blood loss was 100 mL, with two patients requiring intraoperative blood transfusion. Lymph node dissection (LND) in six patients did not significantly affect the overall operative time. The intraoperative and major postoperative complication rates (Clavien-Dindo grade > III) were 13.3%.

conclusionsThe use of three robotic ports combined with the Xi platform's camera-hop feature is a safe and effective technique for multi-quadrant, minimally invasive procedures, particularly in RRNU. This approach facilitates procedural goals and reduces overall operative time.

Indexed as

da Vinci robotic systemmulti-quadrant minimally invasive approachnephroureterectomyrobotic-assisted laparoscopic radical nephroureterectomyrobotic retargetingrobotic single dockingthree ports

Identifiers

PMID40002222
PMCPMC11853596

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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.