Evidence map›Paper›PMID 31579118›Full record

ArticleTherapeutic advances in urology

High surgeon volume and positive surgical margins can predict the risk of biochemical recurrence after robot-assisted radical prostatectomy.

Antonio Benito Porcaro, Alessandro Tafuri, Marco Sebben, Nelia Amigoni, Tania Processali, Marco Pirozzi, Riccardo Rizzetto, Aliasger Shakir, Paolo Corsi, Leone Tiso and 8 more

Abstract read
In one paragraph

Article in Therapeutic advances in urology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

18 authors.

Antonio Benito PorcaroDepartment of Urology Azienda Ospedaliera Universitaria Integrata Verona, Piazzale Stefani 1, Verona, 37126, Italy.ORCID https://orcid.org/0000-0002-7890-040X
Alessandro TafuriDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy.ORCID https://orcid.org/0000-0003-1404-2925
Marco SebbenDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy.
Nelia AmigoniDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy.
Tania ProcessaliDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy.
Marco PirozziDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy.
Riccardo RizzettoDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy.
Aliasger ShakirUSC Institute of Urology, and Catherine & Joseph Aresty Department of Urology, University of Southern California, Los Angeles, CA, USA.
Paolo CorsiDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy.
Leone TisoDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy.
Clara CerratoDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy.
Filippo MiglioriniDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy.
Giovanni NovellaDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy.
Matteo BrunelliDepartment of Pathology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy.
Riccardo BernasconiDepartment of Pathology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy.
Vincenzo De MarcoDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy.
Salvatore SiracusanoDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy.
Walter ArtibaniDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to determine whether any clinical factors are independent predictors of positive surgical margins (PSM), and to assess the association of PSM and biochemical recurrence (BR) after robot-assisted radical prostatectomy (RARP).

methodsThe population included cases with negative surgical margins (control group) and patients with PSM (study group). Tumor grade was evaluated according to the International Society of Urologic Pathology (ISUP) system. A logistic regression model assessed the independent association of factors with the risk of PSM. The risk of BR was assessed by Cox's multivariate proportional hazards.

resultsA total of 732 consecutive patients were evaluated. Extend pelvic lymph node dissection (ePLND) was performed in 342 cases (46.7%). Overall, 192 cases (26.3%) had PSM. The risk of PSM was positively associated with the percentage of biopsy positive cores (BPC; odds ratio, OR = 1.012;

conclusionsIn our cohort, features related to host, tumor, and surgeon volume are associated with the risk of PSM, which is also an independent parameter predicting BR after RARP. The surgical volume of the operating surgeon is an independent factor that decreases the risk of PSM, and, as such, the risk of BR.

Indexed as

biochemical recurrencepositive surgical marginsprostate cancerrobot-assisted radical prostatectomysurgical volume

Identifiers

PMID31579118
PMCPMC6759701

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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.