Evidence map›Paper›PMID 37759146›Full record

Trial reportSurgical endoscopy2023

Skill transference and learning curves in novice learners: a randomized comparison of robotic and laparoscopic platforms.

Kristen M Quinn, Xiaodong Chen, Claire Griffiths, Grace Chen, Sylvester Osayi, Syed Husain

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Surgical endoscopy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
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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

6 authors.

Kristen M QuinnDepartment of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA. quinnkr@musc.edu.ORCID 0000-0002-2373-2074
Xiaodong ChenDepartment of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Claire GriffithsDepartment of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Grace ChenDepartment of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Sylvester OsayiDepartment of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Syed HusainDepartment of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile well-established protocols direct laparoscopic training, there remains a relative paucity of guidelines for robotic education. Furthermore, it is unknown how exposure to one platform influences trainees' proficiency in the other. This study aimed to compare and quantify (1) learning curves and (2) transference of skill between the two modalities in novice learners.

methodsThirty pre-clinical medical students were randomized into two groups. One group performed the peg-transfer task using the robot first, followed by laparoscopy, while the other group performed the same task laparoscopically first. Participants completed five repetitions with each methodology. Participants were timed and errors were recorded. We hypothesized that laparoscopic experience with the peg-transfer task would assist in completing the task robotically, and there would be a higher degree of skill transference from the laparoscopic to robotic platform.

resultsPeg-transfer task completion was consistently faster and more accurate with the robot compared to laparoscopy (p < 0.01). We observed a positive transference of skill from the laparoscopic to robotic platform. However, exposure to the robot-hindered students' ability to perform the task laparoscopically, evidenced by significantly increased time and errors when compared with baseline laparoscopic performance (p < 0.01).

conclusionThese findings encourage surgical residency programs to treat robotic and laparoscopic training as discrete entities and consider their unique learning curves and skill transference when designing an efficient curriculum. While these effects are observed in novices, future directions include uncovering the trends among resident trainees and practicing surgeons.

Indexed as

LaparoscopyRoboticsRobotic Surgical ProceduresStudents, MedicalClinical CompetenceHumansLearning CurveLaparoscopicRoboticSimulationSurgical educationTrainee curriculum

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.