Evidence map›Paper›PMID 33180173›Full record

Observational studyArchives of gynecology and obstetrics2021

Training for next generation surgeons: a pilot study of robot-assisted hysterectomy managed by resident using dual console.

Clémence Klapczynski, Camille Sallée, Antoine Tardieu, Clémence Peschot, Manon Boutot, Nadia Mohand, Aymeline Lacorre, François Margueritte, Tristan Gauthier

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Archives of gynecology and obstetrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. 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

9 authors at 2 institutions in 1 country.

Clémence KlapczynskiDepartment of Gynecology, University Hospital of Rouen, 1 rue de Germont Rouen University Hospital, 76000, Rouen, France.ORCID http://orcid.org/0000-0002-9673-6754
Camille SalléeDepartment of Gynecology, University Hospital of Limoges, Mother and child hospital, 8 avenue Dominique Larrey, 87000, Limoges, France.
Antoine TardieuDepartment of Gynecology, University Hospital of Limoges, Mother and child hospital, 8 avenue Dominique Larrey, 87000, Limoges, France.
Clémence PeschotDepartment of Gynecology, University Hospital of Limoges, Mother and child hospital, 8 avenue Dominique Larrey, 87000, Limoges, France.
Manon BoutotDepartment of Gynecology, University Hospital of Limoges, Mother and child hospital, 8 avenue Dominique Larrey, 87000, Limoges, France.
Nadia MohandDepartment of Gynecology, University Hospital of Limoges, Mother and child hospital, 8 avenue Dominique Larrey, 87000, Limoges, France.
Aymeline LacorreDepartment of Gynecology, University Hospital of Limoges, Mother and child hospital, 8 avenue Dominique Larrey, 87000, Limoges, France.
François MargueritteDepartment of Gynecology, University Hospital of Limoges, Mother and child hospital, 8 avenue Dominique Larrey, 87000, Limoges, France.
Tristan GauthierDepartment of Gynecology, University Hospital of Limoges, Mother and child hospital, 8 avenue Dominique Larrey, 87000, Limoges, France. tristan.gauthier@chu-limoges.fr.
Université de Limoges · FRUniversité de Rouen Normandie · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess feasibility of a standardized robot-assisted hysterectomy managed by resident and supervised by senior surgeon using dual-console on a 21-step grid (max score = 42) assessing resident autonomy.

methodsA total of seven patients managed between September 2019 and March 2020 by six residents in gynecology and obstetrics were included. Standardized robot-assisted hysterectomy for endometrial cancer or adenomyosis was performed.

resultsNo conversion to laparotomy, no intra- or post-operative incidents were reported. Mean score on the evaluation scale was 29.8 out of 42 (SD = 7.3). Mean operative time was 104 min (SD = 23). Mean average suturing time was, respectively, 335 s (SD = 57 s) and 270 s (SD = 53 s) for the first and the fourth knot. There was a 65 s improvement between the first and the fourth intracorporeal knot (p = 0.043). The perceived workload evaluated with the NASA TLX score showed a low level of stress (Temporal demand = 1.6 /10), and a low level of frustration (Frustration level = 3.6/10). Experience gained during the surgery was felt to be important (Commitment = 8.6/10).

conclusionStandardized robot-assisted hysterectomy managed by a resident supervised by a senior surgeon using the dual-console seems feasible. This tool could be useful to assess residents' surgical skills.

Indexed as

Clinical CompetenceInternship and ResidencyAgedFemaleFranceGynecologyHumansHysterectomyLaparoscopyMiddle AgedPilot ProjectsProspective StudiesRobotic Surgical ProceduresDual-consoleHysterectomyResidentRobotic surgerySurgical education

Identifiers

PMID33180173
OpenAlexW3100642595

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.