Evidence map›Paper›PMID 29704059›Full record

ArticleWorld journal of urology2018

Contemporary rates of adherence to international guidelines for pelvic lymph node dissection in radical cystectomy: a population-based study.

Emanuele Zaffuto, Marco Bandini, Stéphanie Gazdovich, Anne-Sophie Valiquette, Sami-Ramzi Leyh-Bannurah, Zhe Tian, Paolo Dell'Oglio, Markus Graefen, Marco Moschini, Andrea Necchi and 4 more

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Article in World journal of urology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Extent of Pelvic Lymph Node Dissection at Partial Cystectomy: Effect on Cancer-Specific Mortality.International journal of urology : official journal of the Japanese Urological Association · 2026
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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

14 authors.

Emanuele ZaffutoDivision of Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.
Marco BandiniDivision of Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy. marco.bandini.zoli@gmail.com.ORCID http://orcid.org/0000-0002-1462-1698
Stéphanie GazdovichCancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, 264 Blvd. Rene-Levesque E. Room 228, Montreal, QC, H2X 1P1, Canada.
Anne-Sophie ValiquetteCancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, 264 Blvd. Rene-Levesque E. Room 228, Montreal, QC, H2X 1P1, Canada.
Sami-Ramzi Leyh-BannurahCancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, 264 Blvd. Rene-Levesque E. Room 228, Montreal, QC, H2X 1P1, Canada.
Zhe TianCancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, 264 Blvd. Rene-Levesque E. Room 228, Montreal, QC, H2X 1P1, Canada.
Paolo Dell'OglioDivision of Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.
Markus GraefenMartini-Clinic, Prostate Cancer Center Hamburg-Eppendorf, Hamburg, Germany.
Marco MoschiniDivision of Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.
Andrea NecchiFondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Shahrokh F ShariatDepartment of Urology, Medical University of Vienna, Vienna, Austria.
Alberto BrigantiDivision of Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.
Francesco MontorsiDivision of Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.
Pierre I KarakiewiczCancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, 264 Blvd. Rene-Levesque E. Room 228, Montreal, QC, H2X 1P1, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the rates of adherence to guidelines for pelvic lymph node dissection (PLND) in patients treated with radical cystectomy (RC) and to identify predictors of omitting PLND. MATERIALS AND

methodsWe relied on 66,208 patients treated with RC between 2004 and 2013 within the National Inpatients Sample (NIS) database. We examined the rates of PLND according to year of surgery, patient and hospital characteristics. Univariate and multivariate logistic regression analyses assessed the probability of PLND use, after adjusting for year of surgery, age, gender, race, comorbidities, hospital location, teaching status and hospital surgical volume.

resultsOverall, PLND was performed on 54,223 (81.9%) RC patients. The rates PLND at RC significantly increased over the study period from 72.3% in 2004 to 85.9% in 2013, (p < 0.001). Barriers to PLND at RC consisted of female gender (OR: 1.31; 95% CI 1.25-1.38; p < 0.001), African American race (OR: 1.21; 95% CI 1.10-1.32; p < 0.001), intermediate (OR: 1.78; 95% CI 1.68-1.88; p < 0.001) or low surgical volume institutions (OR: 2.59; 95% CI 2.44-2.74; p < 0.001), non-teaching institution status (OR: 1.21; 95% CI 1.15-1.27; p < 0.001) and rural hospital location (OR: 1.13; 95% CI 1.01-1.25; p = 0.03).

conclusionsIt is encouraging to note increasing rates of PLND at RC over time. Both patients and hospital characteristics influence PLND rates. More efforts should be aimed at reducing inequalities in PLND at RC due to these highly modifiable variables.

Indexed as

AgedAge FactorsCystectomyDatabases, FactualFemaleGuideline AdherenceHealth Services AccessibilityHospitalsHospitals, Low-VolumeHumansLymph Node ExcisionLymph NodesMaleMiddle AgedPelvisRacial GroupsBladder cancerGuidelines adherenceLymph nodesNISRadical cystectomy

Identifiers

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.