Evidence map›Paper›PMID 35127455›Full record

ArticleUrology case reports2022

Awake Da Vinci robotic partial nephrectomy: First case report ever in a situation of need.

Paolo Gontero, Marco Oderda, Giorgio Calleris, Marco Allasia, Roberto Balagna, Fabio Gobbi

Open access · goldAbstract readCase Reports
In one paragraph

Article in Urology case reports, 2022. 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
0.9field-weighted citation impact, top 26% 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, 6 citations in OpenAlex.

  1. Awake robotic liver surgery: A case report.World journal of gastrointestinal surgery · 2023
    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 2 institutions in 1 country.

Paolo GonteroDivision of Urology, Città Della Salute e Della Scienza di Torino, Molinette Hospital, University of Turin, Corso Bramante 88, 10126, Torino, Italy.
Marco OderdaDivision of Urology, Città Della Salute e Della Scienza di Torino, Molinette Hospital, University of Turin, Corso Bramante 88, 10126, Torino, Italy.
Giorgio CallerisDivision of Urology, Città Della Salute e Della Scienza di Torino, Molinette Hospital, University of Turin, Corso Bramante 88, 10126, Torino, Italy.
Marco AllasiaDivision of Urology, Città Della Salute e Della Scienza di Torino, Molinette Hospital, University of Turin, Corso Bramante 88, 10126, Torino, Italy.
Roberto BalagnaDepartment of Anesthesiology, Città Della Salute e Della Scienza di Torino, Molinette Hospital, Corso Bramante 88, 10126, Torino, Italy.
Fabio GobbiDepartment of Anesthesiology, Città Della Salute e Della Scienza di Torino, Molinette Hospital, Corso Bramante 88, 10126, Torino, Italy.
University of Turin · ITFondazione Ricerca Molinette · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report a unique case of a robotic partial nephrectomy performed under continuous spinal anesthesia (CSA). A 63-year-old woman, active smoker with mild obesity and previous right pneumonectomy, was diagnosed with a growing 5.5-cm renal right cystic tumor. Being at high risk for general anesthesia, a loco-regional approach was indicated. Therefore, after multidisciplinary discussion, a robotic-assisted partial nephrectomy under CSA was considered mandatory. After T4-T5 sensory and motor block, retroperitoneoscopic robot-assisted surgery was successfully performed. Postoperative period was uneventful, with optimal pain control. This unique case demonstrates the feasibility of robotic surgery under CSA, for imperative indications.

Indexed as

AwakeCase reportLaparoscopyRenal cancerRoboticSpinal anesthesia

Identifiers

PMID35127455
PMCPMC8800021
OpenAlexW4206944249

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.