Evidence map›Paper›PMID 36035345›Full record

ArticleAsian journal of urology2022

Three-dimensional imaging reconstruction of the kidney's anatomy for a tailored minimally invasive partial nephrectomy: A pilot study.

Daniele Amparore, Angela Pecoraro, Federico Piramide, Paolo Verri, Enrico Checcucci, Sabrina De Cillis, Alberto Piana, Mariano Burgio, Michele Di Dio, Matteo Manfredi and 2 more

Abstract read
In one paragraph

Article in Asian journal of urology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–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

16 citing papers in PubMed, 2 syntheses or guidelines 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

12 authors.

Daniele AmparoreDepartment of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy.
Angela PecoraroDepartment of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy.
Federico PiramideDepartment of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy.
Paolo VerriDepartment of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy.
Enrico CheccucciDepartment of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy.
Sabrina De CillisDepartment of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy.
Alberto PianaDepartment of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy.
Mariano BurgioDepartment of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy.
Michele Di DioDivision of Urology, Department of Surgery, SS Annunziata Hospital, Cosenza, Italy.
Matteo ManfrediDepartment of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy.
Cristian FioriDepartment of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy.
Francesco PorpigliaDepartment of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of the study was to evaluate three-dimensional virtual models (3DVMs) usefulness in the intraoperative assistance of minimally-invasive partial nephrectomy in highly complex renal tumors. Methods: At our institution cT1-2N0M0 all renal masses with Preoperative Aspects and Dimensions Used for an Anatomical classification score ≥10 treated with minimally-invasive partial nephrectomy were considered for the present study. For inclusion a baseline contrast-enhanced computed tomography in order to obtain 3DVMs, the baseline and postoperative serum creatinine as well as estimated glomerular filtration rate values were needed. These patients, in which 3DVMs were used to assist the surgeon in the planning and intraoperative guidance, were then compared with a control group of patients who underwent minimally-invasive partial nephrectomy with the same renal function assessments, but without 3DVMs. Multivariable logistic regression models were used to predict the margin, ischemia, and complication score achievement. Results: Overall, 79 patients met the inclusion criteria and were compared with 143 complex renal masses without 3DVM assistance. The 3DVM group showed better postoperative outcomes in terms of baseline-weighted differential estimated glomerular filtration rate (-17.7% Conclusion: 3DVMs represent a useful tool to plan a tailored surgical approach in case of surgically complex masses. They can be used in different ways, matching the surgeon's needs from the planning phase to the demolitive and reconstructive phase, leading towards maximum safety and efficacy outcomes.

Indexed as

Complex renal massKidney cancerLaparoscopicNephron-sparing surgeryRenal cell carcinomaRoboticThree-dimensional

Identifiers

PMID36035345
PMCPMC9399544

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Registered trials

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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.