Evidence map›Paper›PMID 36538282›Full record

ReviewCurrent urology reports2023

Robotic Partial Nephrectomy for Bilateral Renal Masses.

Fabrizio Gallo, Simone Sforza, Andrea Mari, Lorenzo Luciani, Maurizio Schenone, Andrea Minervini

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current urology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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

6 authors at 3 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.
Andrea MariDepartment of Urology, Careggi University Hospital, Florence, Italy.
Lorenzo LucianiDepartment of Urology, Santa Chiara Hospital, Trento, Italy.
Maurizio SchenoneDepartment of Urology, San Paolo Hospital, Savona, Italy.
Andrea MinerviniDepartment of Urology, Careggi University Hospital, Florence, Italy.
Azienda Ospedaliero-Universitaria Careggi · ITOspedale San Paolo · ITOspedale Santa Chiara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThere are very few data on patients undergoing robot-assisted partial nephrectomy (RAPN) for bilateral renal masses. The aim of this review is to update the literature and discuss the controversial points on this topic. RECENT

findingsNine papers have been published regarding RAPN for bilateral renal masses. In particular, five papers were case reports while the remaining four reported patient series. Concerning the outcomes, all these papers highlighted the safety, feasibility, and efficacy of bilateral RAPN for bilateral renal masses. The literature confirmed RAPN as an optimal procedure for the treatment of bilateral renal masses. However, these outcomes mainly derived from selected group of patients who underwent complex surgical procedures by expert robotic surgeons at high volume centers and cannot be generalizable to all categories of patients or centers. The simultaneous bilateral approach resulted feasible showing some advantages and without higher complications than a staged procedure in particular when clampless or selective clamping techniques were performed.

Indexed as

Kidney NeoplasmsRoboticsRobotic Surgical ProceduresHumansNephrectomyRetrospective StudiesTreatment OutcomeBilateral partial nephrectomyBilateral renal tumorRenal cell carcinomaRobotic partial nephrectomyRobotics

Identifiers

PMID36538282
OpenAlexW4312018744

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.