Evidence map›Paper›PMID 34999905›Full record

ArticleWorld journal of urology2022

Simultaneous robotic partial nephrectomy for bilateral renal masses.

Fabrizio Gallo, Simone Sforza, Lorenzo Luciani, Daniele Mattevi, Paolo Barzaghi, Andrea Mari, Fabrizio Di Maida, Alessandro Antonelli, Luca Cindolo, Antonio Galfano and 9 more

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Article in World journal of urology, 2022. 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
1.1field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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

19 authors at 9 institutions in 1 country.

Fabrizio GalloDepartment of Urology, San Paolo Hospital, Savona, Italy. fabriziogallo.sv@gmail.com.ORCID http://orcid.org/0000-0003-4239-9200
Simone SforzaDepartment of Urology, Careggi University Hospital, Florence, Italy.
Lorenzo LucianiDepartment of Urology, Santa Chiara Hospital, Trento, Italy.
Daniele MatteviDepartment of Urology, Santa Chiara Hospital, Trento, Italy.
Paolo BarzaghiDepartment of Urology, Careggi University Hospital, Florence, Italy.
Andrea MariDepartment of Urology, Careggi University Hospital, Florence, Italy.
Fabrizio Di MaidaDepartment of Urology, Careggi University Hospital, Florence, Italy.
Alessandro AntonelliDepartment of Urology, University of Brescia, Brescia, Italy.
Luca CindoloDepartment of Urology, Villa Stuart Private Hospital, Rome, Italy.
Antonio GalfanoDepartment of Urology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Giovannalberto PiniDepartment of Urology, Ospedale San Raffaele-Turro, Milan, Italy.
Guglielmo ManticaDepartment of Urology, Policlinico San Martino Hospital, University of Genoa, Genoa, Italy.
Maurizio SchenoneDepartment of Urology, San Paolo Hospital, Savona, Italy.
Luigi SchipsDepartment of Medical, Oral and Biotechnological Sciences, "SS. Annunziata" Hospital, Urology Unit, University of Chieti, Chieti, Italy.
Filippo AnninoDepartment of Urology, San Donato Hospital, Arezzo, Italy.
Carlo TerroneDepartment of Urology, Policlinico San Martino Hospital, University of Genoa, Genoa, Italy.
Aldo Massimo BocciardiDepartment of Urology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Franco GaboardiDepartment of Urology, Ospedale San Raffaele-Turro, Milan, Italy.
Andrea MinerviniDepartment of Urology, Careggi University Hospital, Florence, Italy.
Azienda Ospedaliero-Universitaria Careggi · ITAzienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda · ITIRCCS Ospedale San Raffaele · ITOspedale Policlinico San Martino · ITOspedale San Paolo · ITOspedale Santa Chiara · ITOspedale San Donato · ITUniversity of Brescia · ITUniversity of Chieti-Pescara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThere is currently no consensus regarding the optimal treatment strategy for patients presenting with synchronous bilateral renal masses. The decision to perform bilateral procedures on the same intervention or in staged procedures is debated. The aim of this manuscript is to analyse the outcomes of simultaneous robot-assisted partial nephrectomy (RAPN) in a series of patients with bilateral renal masses treated at five Italian robotic institutions.

methodsData from a prospectively maintained multi-institutional database on patients subjected to simultaneous RAPN between November 2011 and July 2019 were reviewed. RAPNs were performed with da Vinci Si or Xi surgical system by expert robotic surgeons. Baseline demographics and clinical features, peri- and post-operative data were collected.

resultsOverall, 27 patients underwent simultaneous bilateral RAPN, and 54 RAPNs were performed without need of conversion; median operative time was 250 minutes, median estimated blood loss was 200 mL. Renal artery clamping was needed for 27 (50%) RAPNs with a median warm ischemia time of 15 minutes and no case of acute kidney injury. Complications were reported in 7 (25.9%) patients, mainly represented by Clavien 2 events (6 blood transfusions). Positive surgical margins were assessed in 2 (3.7%) of the renal cell carcinoma. At the median follow-up of 30 months, recurrence-free survival was 100%.

conclusionOur data showed that, in selected patients and expert hands, simultaneous bilateral RAPNs could be a safe and feasible procedure with promising results for the treatment of bilateral synchronous renal masses.

Indexed as

Kidney NeoplasmsRoboticsRobotic Surgical ProceduresHumansNephrectomyRetrospective StudiesTreatment OutcomeCarcinomaNephrectomyRenal cellRoboticsRobotic surgical procedures

Identifiers

PMID34999905
OpenAlexW4206266010

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.