Evidence map›Paper›PMID 32395320›Full record

ArticleCentral European journal of urology2020

Outcomes and predictors of benign histology in patients undergoing robotic partial or radical nephrectomy for renal masses: a multicenter study.

Naveen Nandanan, Alessandro Veccia, Alessandro Antonelli, Ithaar Derweesh, Alexandre Mottrie, Andrea Minervini, Monish Aron, Giuseppe Simone, Umberto Capitanio, Claudio Simeone and 11 more

Abstract read
In one paragraph

Article in Central European journal of urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  7. Molecular Imaging Diagnosis of Renal Cancer UsingDiagnostics (Basel, Switzerland) · 2023
    Review
  8. Article
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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

21 authors.

Naveen NandananDivision of Urology, Virginia Commonwealth University Health System, Richmond, VA, USA.
Alessandro VecciaDivision of Urology, Virginia Commonwealth University Health System, Richmond, VA, USA.
Alessandro AntonelliUrology Unit, ASST SpedaliCivili Hospital, Brescia, Italy, Department of Medical and Surgical Specialties, Radiological Science, and Public Health, University of Brescia, Italy.
Ithaar DerweeshDepartment of Urology, UCSD Health System, La Jolla, CA, USA.
Alexandre MottrieDepartment of Urology, OLV Hospital, Aalst, Belgium.
Andrea MinerviniDepartment of Urology, University of Florence, Careggi Hospital, Firenze, Italy.
Monish AronCenter for Robotic Simulation and Education, USC Institute of Urology, Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, USA.
Giuseppe SimoneDepartment of Urology, 'Regina Elena' National Cancer Institute, Rome, Italy.
Umberto CapitanioUnit of Urology, Division of Experimental Oncology, Urological Research Institute (URI), IRCCS Ospedale San Raffaele, Milan, Italy.
Claudio SimeoneUrology Unit, ASST SpedaliCivili Hospital, Brescia, Italy, Department of Medical and Surgical Specialties, Radiological Science, and Public Health, University of Brescia, Italy.
Daniel EunDepartment of Urology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, USA.
Sisto PerdonàUrology Unit, G. Pascale Foundation IRCS, Naples, Italy.
James PorterSwedish Urology Group, Seattle, WA, USA.
Chandru SundaramDivision of Urology, Virginia Commonwealth University Health System, Richmond, VA, USA.
Chao ZhangDepartment of Urology, Changhai Hospital, Shanghai, China.
Robert UzzoDivision of Urology, Fox Chase Cancer Center, Philadelphia, PA, USA.
Ben ChallacombeUrology Centre, Guy's Hospital, London, UK.
Lance J HamptonDivision of Urology, Virginia Commonwealth University Health System, Richmond, VA, USA.
Jihad KaoukDepartment of Urology, Glickman Urological & Kidney Institute, Cleveland Clinic, Cleveland, OH, USA.
Francesco PorpigliaDivision of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Italy.
Riccardo AutorinoDivision of Urology, Virginia Commonwealth University Health System, Richmond, VA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTheaim of this study was to assess preoperative factors associated with benign histology in patients undergoing surgical removal of a renal mass and to analyze outcomes of robotic partial nephrectomy (PN) and radical nephrectomy (RN) for these masses. MATERIAL AND

methodsOverall, 2,944 cases (543 benign and 2,401 malignant) who underwent robotic PN and RN between 2003-2018 at 10 institutions worldwide were included. The assessment of the predictors of benign histology was made at the final surgical pathology report. Descriptive statistics, Mann-Whitney U, Pearson's χ

resultsPatients in the benign group were mostly female (61 vs. 33%; p <0.001), with lower body mass index (BMI) (26.0 vs. 27.1 kg/m

conclusionsIn 18% of cases, a benign histologic type was found. Only 3% of these tumors were treated with RN. Female gender, lower BMI, and higher T staging showed to be independent predictors of benign histology.

Indexed as

benign renal massesmalignant renal massespredictorsrenal cell carcinoma

Identifiers

PMID32395320
PMCPMC7203778

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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.