Evidence map›Paper›PMID 35962708›Full record

ArticleThe international journal of medical robotics + computer assisted surgery : MRCAS2022

Robotic single-port surgery: Preliminary experience in general surgery.

Francesco M Bianco, Nicolas H Dreifuss, Betty Chang, Francisco Schlottmann, Antonio Cubisino, Alberto Mangano, Yevhen Pavelko, Mario A Masrur, Pier C Giulianotti

Registry-linked trialAbstract read
In one paragraph

Article in The international journal of medical robotics + computer assisted surgery : MRCAS, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06681831 (Feasibility, Safety, and Efficacy of Robotic Single-Port Hysterectomy), which is not on this map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 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.

NCT06681831 nacompletednot on this mapstarted 2024, after this paper: background citation

Feasibility, Safety, and Efficacy of Robotic Single-Port Hysterectomy (R-SPH) Using the Da Vinci SP System in Low-Risk Endometrial Cancer: A Pilot Study

TypeinterventionalSponsorFondazione Policlinico Universitario Agostino Gemelli IRCCSRan2024 to 2024Enrolled15ConditionsEndometrial CancerArmsDaVinci SP
3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Application of the Da Vinci Single-Port (SP) Robot in General Surgery: A First Systematic Review.The international journal of medical robotics + computer assisted surgery : MRCAS · 2025
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  15. Robotic Single-Port Versus Robotic Single-Site Hysterectomy in Early Endometrial Cancer: A Case Control Study.The international journal of medical robotics + computer assisted surgery : MRCAS · 2025
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  18. The First Single-Port Robotic-Assisted Excision of Choledochal Cyst and Hepaticojejunostomy in Children.The international journal of medical robotics + computer assisted surgery : MRCAS · 2025
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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

9 authors.

Francesco M BiancoDivision of General, Minimally Invasive, and Robotic Surgery, Department of Surgery, University of Illinois at Chicago, Chicago, Illinois, US.ORCID https://orcid.org/0000-0002-6778-3842
Nicolas H DreifussDivision of General, Minimally Invasive, and Robotic Surgery, Department of Surgery, University of Illinois at Chicago, Chicago, Illinois, US.ORCID https://orcid.org/0000-0001-8411-1960
Betty ChangDivision of General, Minimally Invasive, and Robotic Surgery, Department of Surgery, University of Illinois at Chicago, Chicago, Illinois, US.ORCID https://orcid.org/0000-0002-7784-7694
Francisco SchlottmannDivision of General, Minimally Invasive, and Robotic Surgery, Department of Surgery, University of Illinois at Chicago, Chicago, Illinois, US.
Antonio CubisinoDivision of General, Minimally Invasive, and Robotic Surgery, Department of Surgery, University of Illinois at Chicago, Chicago, Illinois, US.
Alberto ManganoDivision of General, Minimally Invasive, and Robotic Surgery, Department of Surgery, University of Illinois at Chicago, Chicago, Illinois, US.
Yevhen PavelkoDivision of General, Minimally Invasive, and Robotic Surgery, Department of Surgery, University of Illinois at Chicago, Chicago, Illinois, US.
Mario A MasrurDivision of General, Minimally Invasive, and Robotic Surgery, Department of Surgery, University of Illinois at Chicago, Chicago, Illinois, US.
Pier C GiulianottiDivision of General, Minimally Invasive, and Robotic Surgery, Department of Surgery, University of Illinois at Chicago, Chicago, Illinois, US.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aim to analyse the safety and feasibility of the DaVinci Single Port (SP) platform in general surgery.

methodsA prospective series of robotic SP transabdominal pre-peritoneal inguinal hernia repairs (SP-TAPP) and cholecystectomies (SP-C) (off-label) were analysed. Primary endpoints were safety and feasibility defined by the need for conversion and incidence of perioperative complications.

resultsA total of 225 SP procedures were performed; 84 (37.3%) SP-TAPP (70 unilateral, 7 bilateral), and 141 (62.7%) SP-C. There were no conversions or additional ports placed. Mean console time was 17.6, 31.9, and 54 min for SP-C, unilateral, and bilateral SP-TAPP, respectively. There was no mortality, intraoperative or major postoperative complications. Mean LOS was 2.7 h for elective SP-TAPP and 2.3 h for SP-C.

conclusionRobotic SP surgery is safe and feasible for two of the most performed general surgery operations. Further experience might allow expanding the applications of robotic single-incision surgery for other procedures.

Indexed as

Hernia, InguinalLaparoscopyRoboticsRobotic Surgical ProceduresCholecystectomyHumansPostoperative ComplicationscholecystectomyDa Vinci SPinguinal herniarobotic surgerysingle-incision surgerysingle port surgery

Identifiers

PMID35962708
PMCPMC9788012

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Registered trials

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.