Evidence map›Paper›PMID 35623996›Full record

ArticleUrologic oncology2022

Benefit of lymph node dissection in cN+ patients in the treatment of upper tract urothelial carcinoma: Analysis of NCDB registry.

Austin J Piontkowski, Nicholas Corsi, Shravan Morisetty, Sami Majdalany, Ivan Rakic, Pin Li, Sohrab Arora, Marcus Jamil, Craig Rogers, Riccardo Autorino and 1 more

Registry-linked trialAbstract read
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In one paragraph

Article in Urologic oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07321210 (Clinical Efficacy and Safety of Radical Nephroureterectomy With Versus Without Template Lymph Node Dissection in High-Risk Upper Tract Urothelial Carcinoma), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

NCT07321210 narecruitingnot on this mapstarted 2025, after this paper: background citation

Clinical Efficacy and Safety of Radical Nephroureterectomy With Versus Without Template Lymph Node Dissection in High-Risk Upper Tract Urothelial Carcinoma: A Multicenter, Prospective, Randomized Controlled Clinical Trial

TypeinterventionalSponsorTianjin Medical University Second HospitalRan2025 to 2032Enrolled150ConditionsUpper Tract Urothelial Carcinoma, Lymph Node DissectionArmsTemplate Lymph Node Dissection, Selective Lymph Node Resection
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Austin J PiontkowskiVCORE-Vattikuti Urology Institute Center for Outcomes Research, Analytics and Evaluation, Henry Ford Hospital, Detroit, MI; School of Medicine, Wayne State University, Detroit, MI.
Nicholas CorsiVCORE-Vattikuti Urology Institute Center for Outcomes Research, Analytics and Evaluation, Henry Ford Hospital, Detroit, MI; School of Medicine, Wayne State University, Detroit, MI.
Shravan MorisettyVCORE-Vattikuti Urology Institute Center for Outcomes Research, Analytics and Evaluation, Henry Ford Hospital, Detroit, MI; School of Medicine, Wayne State University, Detroit, MI.
Sami MajdalanyVCORE-Vattikuti Urology Institute Center for Outcomes Research, Analytics and Evaluation, Henry Ford Hospital, Detroit, MI.
Ivan RakicVCORE-Vattikuti Urology Institute Center for Outcomes Research, Analytics and Evaluation, Henry Ford Hospital, Detroit, MI; School of Medicine, Wayne State University, Detroit, MI.
Pin LiVCORE-Vattikuti Urology Institute Center for Outcomes Research, Analytics and Evaluation, Henry Ford Hospital, Detroit, MI.
Sohrab AroraVattikuti Urology Institute, Henry Ford Hospital, Detroit, MI.
Marcus JamilVattikuti Urology Institute, Henry Ford Hospital, Detroit, MI.
Craig RogersVattikuti Urology Institute, Henry Ford Hospital, Detroit, MI.
Riccardo AutorinoDepartment of Urology, Virginia Commonwealth University Health, Richmond, VA.
Firas AbdollahVCORE-Vattikuti Urology Institute Center for Outcomes Research, Analytics and Evaluation, Henry Ford Hospital, Detroit, MI; Vattikuti Urology Institute, Henry Ford Hospital, Detroit, MI. Electronic address: fabdoll1@hfhs.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe benefits of lymph node dissection (LND) in surgically treated upper tract urothelial carcinoma (UTUC) patients who present with clinically positive nodes at diagnosis remain unclear. The aim of this study was to assess survival differences in cN+ patients who underwent radical nephroureterectomy (RNU) with LND vs. without LND.

methodsThe National Cancer Database was used to identify a total number of 423 cN+ patients from 2004 to 2016 with UTUC that underwent RNU. Of the 423 patients, 310 received LND. Kaplan-Meier (KM) plots were used to estimate survival in cN+ patients who received RNU with LND vs. without. Cox proportional hazards regression tested the impact of LND status on overall survival (OS) after adjusting for all available covariates.

resultsMedian age of the patient population was 68 years (IQR 61-76), and 56.74% were male. Median follow-up was 1.8 years (IQR 0.9-3.5). For the entire cohort, the 2-year OS rate was 51.8%, and it was 52.1% vs. 51.1% in patients who underwent LND vs. not (log-rank p-value=0.2). On multivariable analysis, performing LND had no statistically significant impact on OS (HR 0.93 95%CI 0.696-1.235, P = 0.9). Repeating the analysis in patients who had exclusively cN1 (HR 0.76 95%CI 0.469-1.223, P = 0.26) or cN2/3 (HR 0.844 95%CI 0.556-1.28, P = 0.43) disease also failed to demonstrate a significant impact of LND on survival.

conclusionIn cN+ patients with UTUC, performing LND in addition to RNU at any clinical stage does not seem to have a significant impact on OS.

Indexed as

Carcinoma, Transitional CellUrinary Bladder NeoplasmsAgedFemaleHumansLymph Node ExcisionLymph NodesMaleMiddle AgedRegistriesRetrospective StudiesBladder cancerLymph node dissectionSurvivalUpper tract urothelial carcinoma

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Registered trials

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.