Evidence map›Paper›PMID 30301694›Full record

ArticleEuropean urology2019

Identifying the Optimal Candidate for Salvage Lymph Node Dissection for Nodal Recurrence of Prostate Cancer: Results from a Large, Multi-institutional Analysis.

Nicola Fossati, Nazareno Suardi, Giorgio Gandaglia, Carlo A Bravi, Matteo Soligo, R Jeffrey Karnes, Shahrokh Shariat, Antonino Battaglia, Wouter Everaerts, Steven Joniau and 15 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in European urology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 3 pooled it
13.7field-weighted citation impact, top 1% of its field
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

49 citing papers in PubMed, 3 syntheses or guidelines pooled it, 120 citations in OpenAlex.

  1. Pooled it
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  3. Role of salvage lymph node dissection in patients previously treated for prostate cancer: systematic review.International braz j urol : official journal of the Brazilian Society of Urology
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  10. [Salvage lymphadenectomy for recurrent prostate cancer].Urologie (Heidelberg, Germany) · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors at 11 institutions in 5 countries.

Nicola FossatiDivision of Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy.
Nazareno SuardiDivision of Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy.
Giorgio GandagliaDivision of Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy.
Carlo A BraviDivision of Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy.
Matteo SoligoDepartment of Urology, Mayo Clinic, Rochester, MN, USA.
R Jeffrey KarnesDepartment of Urology, Mayo Clinic, Rochester, MN, USA.
Shahrokh ShariatDepartment of Urology, Medical University of Vienna, Vienna, Austria.
Antonino BattagliaUniversity Hospitals Leuven, Department of Urology, Leuven, Belgium.
Wouter EveraertsUniversity Hospitals Leuven, Department of Urology, Leuven, Belgium.
Steven JoniauUniversity Hospitals Leuven, Department of Urology, Leuven, Belgium.
Hendrik Van PoppelUniversity Hospitals Leuven, Department of Urology, Leuven, Belgium.
Nieroshan RajarubendraUSC institute of Urology, Catherine & Joseph Aresty Department of Urology, University of Southern California, Los Angeles, CA, USA.
Inderbir S GillUSC institute of Urology, Catherine & Joseph Aresty Department of Urology, University of Southern California, Los Angeles, CA, USA.
Alessandro LarcherOLV Ziekenhuis Aalst, Department of Urology, Aalst, Belgium; ORSI Academy, Melle, Belgium.
Alexander MottrieOLV Ziekenhuis Aalst, Department of Urology, Aalst, Belgium; ORSI Academy, Melle, Belgium.
Maximilian SchmautzUniversity of Cologne, Department of Urology, Cologne, Germany.
Axel HeidenreichUniversity of Cologne, Department of Urology, Cologne, Germany.
Almut KalzDepartment of Urology and Pediatric Urology, University Hospital Schleswig Holstein, Campus Kiel, Kiel, Germany.
Daniar OsmonovDepartment of Urology and Pediatric Urology, University Hospital Schleswig Holstein, Campus Kiel, Kiel, Germany.
Klaus-Peter JuenemannDepartment of Urology and Pediatric Urology, University Hospital Schleswig Holstein, Campus Kiel, Kiel, Germany.
Annika HerlemannLudwig-Maximilians-University, Department of Urology, Munich, Germany.
Christian GratzkeLudwig-Maximilians-University, Department of Urology, Munich, Germany; Department of Urology, Albert-Ludwigs-University Freiburg, Germany.
Christian StiefLudwig-Maximilians-University, Department of Urology, Munich, Germany.
Francesco MontorsiDivision of Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy.
Alberto BrigantiDivision of Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy. Electronic address: briganti.alberto@hsr.it.
IRCCS Ospedale San Raffaele · ITKU Leuven · BELudwig-Maximilians-Universität München · DEMayo Clinic in Arizona · USUniversity of Cologne · DEUniversity of Lübeck · DEUniversity of Southern California · USMedical University of Vienna · ATOnze Lieve Vrouwziekenhuis Hospital · BEORSI Academy · BEUniversity Hospital Schleswig-Holstein · DE

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fumito Ito · 1985 to 2026
$181.4M
NCI NIH HHS P30 CA014089
6 · The paper itself

Abstract

backgroundSalvage lymph node dissection (SLND) represents a possible treatment option for prostate cancer patients affected by nodal recurrence after local treatment. However, SLND may be associated with intra- and postoperative complications, and the oncological benefit may be limited to specific groups of patients.

objectiveTo identify the optimal candidates for SLND based on preoperative characteristics. DESIGN, SETTING, AND

participantsThe study included 654 patients who experienced prostate-specific antigen (PSA) rise and nodal recurrence after radical prostatectomy (RP) and underwent SLND at nine tertiary referral centers. Lymph node recurrence was documented by positron emission tomography/computed tomography (PET/CT) scan using either

interventionSLND. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The study outcome was early clinical recurrence (eCR) developed within 1 yr after SLND. Multivariable Cox regression analysis was used to develop a predictive model. Multivariable-derived coefficients were used to develop a novel risk calculator. Decision-curve analysis was used to evaluate the net benefit of the predictive model. RESULTS AND LIMITATIONS: Median follow-up was 30 (interquartile range, 16-50) mo among patients without clinical recurrence (CR), and 334 patients developed CR after SLND. In particular, eCR at 1 yr after SLND was observed in 150 patients, with a Kaplan-Meier probability of eCR equal to 25%. The development of eCR was significantly associated with an increased risk of cancer-specific mortality at 3 yr, being 20% versus 1.4% in patients with and without eCR, respectively (p<0.0001). At multivariable analysis, Gleason grade group 5 (hazard ratio [HR]: 2.04; p<0.0001), time from RP to PSA rising (HR: 0.99; p=0.025), hormonal therapy administration at PSA rising after RP (HR: 1.47; p=0.0005), retroperitoneal uptake at PET/CT scan (HR: 1.24; p=0.038), three or more positive spots at PET/CT scan (HR: 1.26; p=0.019), and PSA level at SLND (HR: 1.05; p<0.0001) were significant predictors of CR after SLND. The coefficients of the predictive model were used to develop a risk calculator for eCR at 1 yr after SLND. The discrimination of the model (Harrel'sC index) was 0.75. At decision-curve analysis, the net benefit of the model was higher than the "treat-all" option at all the threshold probabilities.

conclusionsWe reported the largest available series of patients treated with SLND. Roughly 25% of men developed eCR after surgery. We developed the first risk stratification tool to identify the optimal candidate to SLND based on routinely available preoperative characteristics. This tool can be useful to avoid use of SLND in men more likely to progress despite any imaging-guided approach. PATIENT SUMMARY: The risk of early recurrence after salvage lymph node dissection (SLND) was approximately 25%. In this study, we developed a novel tool to predict the risk of early failure after SLND. This tool will be useful to identify patients who would benefit the most from SLND from other patients who should be spared from surgery.

Indexed as

Lymph Node ExcisionAgedHumansMaleMiddle AgedNeoplasm Recurrence, LocalProstatectomyProstatic NeoplasmsRisk AssessmentSalvage TherapyLymph node excisionNeoplasm recurrencePositron emission tomography computed tomographyProstatic neoplasmsSalvage therapy

Identifiers

PMID30301694
PMCPMC9084635
OpenAlexW2604258833

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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.