Evidence map›Paper›PMID 41964762›Full record

ArticleWorld journal of urology2026

Anatomical distribution and predictors of lymph node metastasis in robot-assisted radical nephroureterectomy for upper tract urothelial carcinoma: a multicenter study by the Junior ERUS/YAU Robotic Surgery Working Group.

Fabrizio Di Maida, Luca Lambertini, Carlo Andrea Bravi, Ruben De Groote, Federico Piramide, Filippo Turri, Mike Wenzel, Gopal Sharma, Christoph Würnschimmel, Edward Lambert and 20 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in World journal of urology, 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

30 authors.

Fabrizio Di MaidaUnit of Urology and Andrology, Department of Experimental and Clinical Medicine, Careggi Hospital, University of Florence, Largo Brambilla 3, 50134, Florence, Italy. fabrizio.dimaida@unifi.it.
Luca LambertiniUnit of Urology and Andrology, Department of Experimental and Clinical Medicine, Careggi Hospital, University of Florence, Largo Brambilla 3, 50134, Florence, Italy.
Carlo Andrea BraviDepartment of Urology, The Royal Marsden NHS Foundation Trust, London, UK.
Ruben De GrooteDepartment of Urology, Onze-Lieve-Vrouwziekenhuis Hospital, Aalst, Belgium.
Federico PiramideDivision of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Italy.
Filippo TurriDepartment of Urology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.
Mike WenzelDepartment of Urology, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany.
Gopal SharmaDepartment of Urologic Oncology, Medanta The Medicity, Gurgaon, India.
Christoph WürnschimmelDepartment of Urology, University Teaching and Research Hospital Lucerne, Luzern, Switzerland.
Edward LambertDepartment of Urology, Onze-Lieve-Vrouwziekenhuis Hospital, Aalst, Belgium.
Paolo Dell'OglioASST Grande Ospedale Metropolitano Niguarda Urology Department, Milan, Italy.
Marcio Covas MoschovasAdventHealth Global Robotics Institute, Celebration, FL, USA.
Riccardo CampiUnit of Urology and Renal Transplantation, Department of Experimental and Clinical Medicine, Careggi University Hospital, University of Florence, Florence, Italy.
Antonio Andrea GrossoUnit of Urology and Andrology, Department of Experimental and Clinical Medicine, Careggi Hospital, University of Florence, Largo Brambilla 3, 50134, Florence, Italy.
Nikolaos LiakosDepartment of Urology, Faculty of Medicine, Medical Centre of the University of Freiburg, Freiburg, Germany.
Roman MayrDepartment of Urology, Caritas St. Josef Medical Centre, University of Regensburg, Regensburg, Germany.
Danny DarlingtonDepartment of Urology, Royal Surrey NHS Foundation Trust, Guildford, UK.
Ahmed ErakyDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Marco PaciottiDepartment of Urology, IRCCS Humanitas Research Hospital Rozzano, Milan, Italy.
Gabriele SorceDepartment of Clinical and Experimental Medicine, Urology Section, University of Messina, Messina, Italy.
Stefano TapperoASST Grande Ospedale Metropolitano Niguarda Urology Department, Milan, Italy.
Angelo MottaranIRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy.
Alessandro LarcherDepartment of Urology, IRCCS San Raffaele Hospital, Milan, Italy.
Francesco MontorsiDepartment of Urology, IRCCS San Raffaele Hospital, Milan, Italy.
Alberto BrigantiDepartment of Urology, IRCCS San Raffaele Hospital, Milan, Italy.
Nicolae CrisanDepartment of Urology, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca-Napoca, Romania.
Alexandre MottrieDepartment of Urology, Onze-Lieve-Vrouwziekenhuis Hospital, Aalst, Belgium.
Andrea MinerviniUnit of Urology and Andrology, Department of Experimental and Clinical Medicine, Careggi Hospital, University of Florence, Largo Brambilla 3, 50134, Florence, Italy.
Alberto BredaDepartment of Urology, Fundació Puigvert, Barcelona, Spain.
Iulia AndrasDepartment of Urology, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca-Napoca, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe role of lymph node dissection (LND) during robot-assisted nephroureterectomy (RNU) for upper tract urothelial carcinoma (UTUC) remains debated, particularly in clinically node-negative (cN0) patients. This study aimed to evaluate the anatomical distribution of nodal metastases, identify predictors of lymph node positivity, and assess perioperative and oncological outcomes associated with LND.

methodsA retrospective multicenter study was conducted including 511 patients treated with RNU for UTUC at multiple high-volume international referral centers between 2019 and 2023. Among them, 218 (42.7%) underwent LND, including 159 with cN0 disease. Multivariable logistic regression identified predictors of nodal positivity. To assess the impact of LND on oncologic outcomes, multivariable Cox proportional hazards models were fitted for metastasis-free survival (MFS), adjusting for clinically relevant covariates.

resultsPatients undergoing LND were younger and had larger tumors. LND was associated with longer operative time and a higher rate of major complications (6.9% vs 1.7%). Adverse pathological features (pT ≥ 2, necrosis, lymphovascular invasion) were more common in the LND group. Among cN0 patients, 17.6% harbored occult nodal metastases. Hilar and iliac–obturator fields yielded the highest positivity rates, while retrocaval and presacral dissections showed none. Larger clinical tumor size was the only independent preoperative predictor of pN + (OR 1.008 per mm; 95% CI 1.002–1.017; p = 0.001). Kaplan–Meier analysis showed improved MFS in cN0 patients treated with LND (p = 0.045), whereas RFS and OS did not differ between groups. In the multivariable Cox model, LND showed a non-significant trend toward reduced metastatic progression, while cT3 stage was strongly associated with worse MFS.

conclusionsLND during RNU enhances staging accuracy and identifies a clinically relevant proportion of occult metastases in cN0 UTUC patients. Tumor size is the key preoperative predictor of nodal positivity. Although LND improves MFS in unadjusted analyses, its independent therapeutic effect remains uncertain. These findings support a selective, risk-adapted approach to LND that integrates tumor size and anatomical drainage patterns.

Indexed as

Carcinoma, Transitional CellKidney NeoplasmsLymph Node ExcisionLymph NodesNephroureterectomyRobotic Surgical ProceduresUreteral NeoplasmsAgedFemaleHumansLymphatic MetastasisMaleMiddle AgedRetrospective StudiesLymph node dissectionMetastasisNephroureterectomyRoboticUpper tract urothelial carcinoma (UTUC)

Identifiers

PMID41964762

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.