Evidence map›Paper›PMID 28503234›Full record

ArticleCanadian Urological Association journal = Journal de l'Association des urologues du Canada2017

Error reporting from the da Vinci surgical system in robotic surgery: A Canadian multispecialty experience at a single academic centre.

Emad Rajih, Côme Tholomier, Beatrice Cormier, Vanessa Samouëlian, Thomas Warkus, Moishe Liberman, Hugues Widmer, Jean-Baptiste Lattouf, Abdullah M Alenizi, Malek Meskawi and 5 more

Abstract read
In one paragraph

Article in Canadian Urological Association journal = Journal de l'Association des urologues du Canada, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Complications in laparoscopic and robotic-assisted surgery: definitions, classifications, incidence and risk factors - an up-to-date review.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2021
    Review
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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.

Emad RajihDivision of Urology, University of Montreal Hospital Centre (CHUM), Montreal, QC, Canada.
Côme TholomierDivision of Urology, University of Montreal Hospital Centre (CHUM), Montreal, QC, Canada.
Beatrice CormierGynecologic Oncologic Division, University of Montreal Hospital Centre (CHUM), Montreal, QC, Canada.
Vanessa SamouëlianGynecologic Oncologic Division, University of Montreal Hospital Centre (CHUM), Montreal, QC, Canada.
Thomas WarkusGynecologic Oncologic Division, University of Montreal Hospital Centre (CHUM), Montreal, QC, Canada.
Moishe LibermanDivision of Thoracic Surgery, University of Montreal Hospital Centre (CHUM), Montreal, QC, Canada.
Hugues WidmerDivision of Urology, University of Montreal Hospital Centre (CHUM), Montreal, QC, Canada.
Jean-Baptiste LattoufDivision of Urology, University of Montreal Hospital Centre (CHUM), Montreal, QC, Canada.
Abdullah M AleniziDivision of Urology, University of Montreal Hospital Centre (CHUM), Montreal, QC, Canada.
Malek MeskawiDivision of Urology, University of Montreal Hospital Centre (CHUM), Montreal, QC, Canada.
Roger ValdiviesoDivision of Urology, University of Montreal Hospital Centre (CHUM), Montreal, QC, Canada.
Pierre-Alain HueberDivision of Urology, University of Montreal Hospital Centre (CHUM), Montreal, QC, Canada.
Pierre I KarakewiczDivision of Urology, University of Montreal Hospital Centre (CHUM), Montreal, QC, Canada.
Assaad El-HakimDivision of Robotic Urology, Department of Surgery, Hôpital du Sacré Cœur de Montréal, Montreal, QC, Canada.
Kevin C ZornDivision of Urology, University of Montreal Hospital Centre (CHUM), Montreal, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe goal of the study is to evaluate and report on the third-generation da Vinci surgical (Si) system malfunctions.

methodsA total of 1228 robotic surgeries were performed between January 2012 and December 2015 at our academic centre. All cases were performed by using a single, dual console, four-arm, da Vinci Si robot system. The three specialties included urology, gynecology, and thoracic surgery. Studied outcomes included the robotic surgical error types, immediate consequences, and operative side effects. Error rate trend with time was also examined.

resultsOverall robotic malfunctions were documented on the da Vinci Si systems event log in 4.97% (61/1228) of the cases. The most common error was related to pressure sensors in the robotic arms indicating out of limit output. This recoverable fault was noted in 2.04% (25/1228) of cases. Other errors included unrecoverable electronic communication-related in 1.06% (13/1228) of cases, failed encoder error in 0.57% (7/1228), illuminator-related in 0.33% (4/1228), faulty switch in 0.24% (3/1228), battery-related failures in 0.24% (3/1228), and software/hardware error in 0.08% (1/1228) of cases. Surgical delay was reported only in one patient. No conversion to either open or laparoscopic occurred secondary to robotic malfunctions. In 2015, the incidence of robotic error rose to 1.71% (21/1228) from 0.81% (10/1228) in 2014.

conclusionsRobotic malfunction is not infrequent in the current era of robotic surgery in various surgical subspecialties, but rarely consequential. Their seldom occurrence does not seem to affect patient safety or surgical outcome.

Identifiers

PMID28503234
PMCPMC5426941

What OpenQuestion holds

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Read underepoch 390

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.