Evidence map›Paper›PMID 39073629›Full record

ReviewJournal of robotic surgery2024

Navigating challenges in anesthesia for robotic urological surgery: a comprehensive guide.

Gilberto Duarte-Medrano, Natalia Nuño-Lámbarri, Marissa Minnuti-Palacios, Analucia Dominguez-Franco, Jose Guillermo Dominguez-Cherit, Rafael Zamora-Meraz

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of robotic surgery, 2024. 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
–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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Gilberto Duarte-MedranoAnesthesiology Department, Hospital Medica Sur, Puente de Piedra 150, Toriello Guerra Tlalpan, Ciudad de México, CDMX, 14050, Mexico, Mexico. dr.gilbertoduartem@gmail.com.
Natalia Nuño-LámbarriTranslational Research Unit, Medica Sur Clinic & Foundation, Puente de Piedra 150, Toriello Guerra Tlalpan, 14050, Mexico, Mexico. nlambarri@gmail.com.ORCID http://orcid.org/0000-0001-7616-2661
Marissa Minnuti-PalaciosAnesthesiology Department, Hospital Medica Sur, Puente de Piedra 150, Toriello Guerra Tlalpan, Ciudad de México, CDMX, 14050, Mexico, Mexico.
Analucia Dominguez-FrancoAnesthesiology Department, Hospital Medica Sur, Puente de Piedra 150, Toriello Guerra Tlalpan, Ciudad de México, CDMX, 14050, Mexico, Mexico.
Jose Guillermo Dominguez-CheritAnesthesiology Department, Hospital Medica Sur, Puente de Piedra 150, Toriello Guerra Tlalpan, Ciudad de México, CDMX, 14050, Mexico, Mexico.
Rafael Zamora-MerazAnesthesiology Department, Hospital Medica Sur, Puente de Piedra 150, Toriello Guerra Tlalpan, Ciudad de México, CDMX, 14050, Mexico, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic surgery has emerged as a cornerstone in urological interventions, offering effectiveness and safety for patients. For anesthesiologists, this technological advancement presents a myriad of new challenges, spanning from patient selection and assessment to intraoperative dynamics and post-surgical pain management. This article aims to elucidate these challenges and provide guidance for anesthesiologists in navigating the complexities of anesthesia administration in robotic urological procedures. Through a detailed exploration of patient optimization, team coordination, intraoperative adjustments, and post-surgical care, this article serves as a valuable resource for ensuring the success of such interventions.

Indexed as

AnesthesiaRobotic Surgical ProceduresUrologic Surgical ProceduresHumansPatient Care TeamPatient SelectionPostoperative PainAnesthesiaMultimodalRobotSurgeryUrology

Identifiers

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.