Evidence map›Paper›PMID 38434189›Full record

ArticleEuropean urology open science2024

Robotic Vena Cava Thrombectomy with Three-dimensional Augmented Reality Guidance.

Daniele Amparore, Enrico Checcucci, Federico Piramide, Giovanni Busacca, Gabriele Volpi, Sabrina De Cillis, Michele Sica, Paolo Verri, Alberto Piana, Michele Di Dio and 2 more

Open access · goldAbstract readCase Reports
In one paragraph

Article in European urology open science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
4.6field-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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Review
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  8. 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

12 authors at 3 institutions in 1 country.

Daniele AmparoreDepartment of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Italy.
Enrico CheccucciDepartment of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Turin, Italy.
Federico PiramideDepartment of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Italy.
Giovanni BusaccaDepartment of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Italy.
Gabriele VolpiDepartment of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Turin, Italy.
Sabrina De CillisDepartment of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Italy.
Michele SicaDepartment of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Italy.
Paolo VerriDepartment of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Italy.
Alberto PianaRomolo Hospital, Rocca di Neto, Italy.
Michele Di DioDivision of Urology, Department of Surgery, SS Annunziata Hospital, Cosenza, Italy.
Cristian FioriDepartment of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Italy.
Francesco PorpigliaDepartment of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Italy.
Ospedale San Luigi Gonzaga · ITCandiolo Cancer Institute · ITOspedale Annunziata di Cosenza · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic surgery has recently been used for treatment of renal cell carcinoma (RCC) and neoplastic thrombus located in the renal vein or inferior vena cava (IVC). Accurate identification of the thrombus location is crucial, and three-dimensional augmented reality (3D AR) may be valuable in achieving this. We enrolled patients with nonmetastatic RCC and level 0-I venous thrombus (Mayo Clinic classification) for robot-assisted radical nephrectomy and thrombectomy with 3D AR guidance. Five patients were prospectively enrolled; three had a level 0 thrombus and two had a level I thrombus. The mean operative time was 123 ± 15 min, mean IVC clamping time was 9.4 ± 6.8 min, and mean estimated blood loss was 750 ± 150 ml. The AR system allowed precise estimation of the thrombus location in all cases. No intraoperative complications or postoperative Clavien-Dindo grade >2 complications occurred. Use of 3D AR guidance allowed correct estimation of the limits of the thrombus and guided the surgeon in selecting an appropriate surgical strategy.

Indexed as

Augmented realityCaval thrombusKidney cancerRobotic surgeryThree-dimensional models

Identifiers

PMID38434189
PMCPMC10909593
OpenAlexW4392214349

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.