Evidence map›Paper›PMID 35191992›Full record

ArticleWorld journal of urology2022

Robotic partial nephrectomy in 3D virtual reconstructions era: is the paradigm changed?

Daniele Amparore, Federico Piramide, Sabrina De Cillis, Paolo Verri, Alberto Piana, Angela Pecoraro, Mariano Burgio, Matteo Manfredi, Umberto Carbonara, Michele Marchioni and 5 more

Abstract read
PubMed Publisher
In one paragraph

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 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Visual extended reality tools in image-guided surgery in urology: a systematic review.European journal of nuclear medicine and molecular imaging · 2024
    Pooled it
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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

15 authors at 2 institutions in 2 countries.

Daniele AmparoreDivision of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Regione Gonzole 10, 10043, Orbassano (Turin), Italy.
Federico PiramideDivision of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Regione Gonzole 10, 10043, Orbassano (Turin), Italy.
Sabrina De CillisDivision of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Regione Gonzole 10, 10043, Orbassano (Turin), Italy.
Paolo VerriDivision of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Regione Gonzole 10, 10043, Orbassano (Turin), Italy.
Alberto PianaDivision of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Regione Gonzole 10, 10043, Orbassano (Turin), Italy.
Angela PecoraroDivision of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Regione Gonzole 10, 10043, Orbassano (Turin), Italy.
Mariano BurgioDivision of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Regione Gonzole 10, 10043, Orbassano (Turin), Italy.
Matteo ManfrediDivision of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Regione Gonzole 10, 10043, Orbassano (Turin), Italy.
Umberto CarbonaraRenal Cancer Working Group of the Young Academic Urologists (YAU) Working Party of the European Association of Urology (EAU), Arnhem, The Netherlands.
Michele MarchioniRenal Cancer Working Group of the Young Academic Urologists (YAU) Working Party of the European Association of Urology (EAU), Arnhem, The Netherlands.
Riccardo CampiRenal Cancer Working Group of the Young Academic Urologists (YAU) Working Party of the European Association of Urology (EAU), Arnhem, The Netherlands.
Cristian FioriDivision of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Regione Gonzole 10, 10043, Orbassano (Turin), Italy.
Enrico Checcucci *Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Turin, Italy.
Francesco Porpiglia *Division of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Regione Gonzole 10, 10043, Orbassano (Turin), Italy. porpiglia@libero.it.ORCID http://orcid.org/0000-0001-8567-6795
Renal Cancer Working Group of the Young Academic Urologists (YAU) and European Association of Urology (EAU)
Ospedale San Luigi Gonzaga · ITEuropean Association of Urology · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextThe development of a tailored, patient-specific medical and surgical approach is becoming object of intense research. In kidney oncologic surgery, where a clear understanding of case-specific surgical anatomy is considered a key point to optimize the perioperative outcomes, such philosophy gained increasing importance. Recently, important advances in 3D virtual modeling technologies have fueled the interest for their application in the field of robotic minimally invasive surgery for kidney tumors.

objectiveTo provide a synthesis of current applications of 3D virtual models for robot-assisted partial nephrectomy. EVIDENCE ACQUISITION: Medline, PubMed, the Cochrane Database, and Embase were screened for Literature regarding the use of 3D virtual models for robot-assisted partial nephrectomy (RAPN). EVIDENCE SYNTHESIS: The use of 3D virtual models for RAPN has been tested in different settings, including surgical indication and planning, intraoperative guidance, and training. Currently, several studies are available on the application of this technology for surgical planning, demonstrating impact on clinical outcomes such as renal function recovery, whilst experiences concerning their intraoperative application for navigation are still experimental. One of the latest innovations in this field is represented by the development of dedicated softwares able to automatically overlap the 3D virtual models to the real anatomy, to perform augmented reality procedures.

conclusionsThe available Literature suggests a potentially crucial role of 3D virtual reconstructions during RAPN. Encouraging results concerning surgical planning and indication, intraoperative navigation, and surgical training are available. In the future, artificial intelligence may represent the key to further improve the 3D virtual modeling technology during RAPN.

Indexed as

Kidney NeoplasmsRoboticsRobotic Surgical ProceduresArtificial IntelligenceHumansImaging, Three-DimensionalNephrectomyAugmented realityKidney cancerRoboticsThree-dimensional

Identifiers

PMID35191992
OpenAlexW4212890958

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.