Evidence map›Paper›PMID 36403108›Full record

ArticleThe international journal of medical robotics + computer assisted surgery : MRCAS2023

Validation of a surgical workspace scale during robot-assisted surgery.

Hayder Alhusseinawi, Rikke Haase, Sten Rasmussen, Jørgen B Jensen, Pernille S Kingo

Abstract read
In one paragraph

Article in The international journal of medical robotics + computer assisted surgery : MRCAS, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Validation of a surgical workspace scale during robot-assisted surgery.The international journal of medical robotics + computer assisted surgery : MRCAS · 2023
    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

5 authors.

Hayder AlhusseinawiDepartment of Urology, Aalborg University Hospital, Aalborg, Denmark.ORCID https://orcid.org/0000-0002-2170-3771
Rikke HaaseDepartment of Urology, Aalborg University Hospital, Aalborg, Denmark.
Sten RasmussenDepartment of Urology, Aalborg University Hospital, Aalborg, Denmark.
Jørgen B JensenDepartment of Urology, Aarhus University Hospital, Aarhus, Denmark.
Pernille S KingoDepartment of Urology, Aarhus University Hospital, Aarhus, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA sufficient surgical workspace is crucial to avoid complications. Within classic laparoscopy, many subjective surgical rating scales (SRSs) have previously been used to evaluate the surgical workspace. This study aimed to validate a modified version of the 5-point SRS during robot-assisted radical nephrectomy (RARN).

methodsThirty-two intra-operative videos of intraperitoneal spaces were recorded from eight patients who underwent RARN. To attain the visualisation of different types of workspaces, we recorded 20 s panoramic videos of different pneumoperitoneum, namely 3, 5, 7 and 12 mmHg. The videos were randomised and presented two times to eight experienced robotic surgeons to evaluate the workspace using our modified 5-point SRS. Both inter-and intra-rater reliabilities were tested.

resultsThe results of the validation study showed moderate inter-rater and good to excellent intra-rater reliability.

conclusionThis is a valid tool that can be confidently used by future researchers in the field of robot-assisted surgery.

Indexed as

LaparoscopyRoboticsRobotic Surgical ProceduresHumansNephrectomyReproducibility of Resultscomputer assisted surgerykidneyminimal invasive surgerynephrectomyrobot assisted surgerysurgical rating scaleurologyvalidation studyworkspace

Identifiers

PMID36403108
PMCPMC10078223

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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.