ArticleBMC surgery2020
Assessment of validity evidence for the RobotiX robot assisted surgery simulator on advanced suturing tasks.
Article in BMC surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
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Who cites it
5 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The emerging role of robotics in plastic and reconstructive surgery: a systematic review and meta-analysis.Journal of robotic surgery · 2024Pooled it
- Evaluation of objective tools and artificial intelligence in robotic surgery technical skills assessment: a systematic review.The British journal of surgery · 2024Pooled it
- Transferability of the robot assisted and laparoscopic suturing learning curves.Journal of robotic surgery · 2024Trial
- Cardiac Simulator Technologies and Design for Medical Education and Auscultation Training: A Systematic Review.Bioengineering (Basel, Switzerland) · 2025Review
- Baseline performance in a robotic virtual reality platform predicts rate of skill acquisition in a proficiency-based curriculum: a cohort study of surgical trainees.Surgical endoscopy · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRobot assisted surgery has expanded considerably in the past years. Compared to conventional open or laparoscopic surgery, virtual reality (VR) training is an essential component in learning robot assisted surgery. However, for tasks to be implemented in a curriculum, the levels of validity should be studied for proficiency-based training. Therefore, this study was aimed to assess the validity evidence of advanced suturing tasks on a robot assisted VR simulator.
methodParticipants were voluntary recruited and divided in the robotic experienced, laparoscopic experienced or novice group, based on self-reported surgical experience. Subsequently, a questionnaire on a five-point Likert scale was completed to assess the content validity. Three component tasks of complex suturing were performed on the RobotiX simulator (Task1: tilted plane needle transfer, Task: 2 intracorporal suturing, Task 3: anastomosis needle transfer). Accordingly, the outcome of the parameters was used to assess construct validity between robotic experienced and novice participants. Composite scores (0-100) were calculated from the construct parameters and corresponding pass/fail scores with false positive (FP) and false negative (FN) percentages.
resultsFifteen robotic experienced, 26 laparoscopic experienced and 29 novices were recruited. Overall content validity outcomes were scored positively on the realism (mean 3.7), didactic value (mean 4.0) and usability (mean 4.2). Robotic experienced participants significantly outperformed novices and laparoscopic experienced participants on multiple parameters on all three tasks of complex suturing. Parameters showing construct validity mainly consisted of movement parameters, needle precision and task completion time. Calculated composite pass/fail scores between robotic experienced and novice participants resulted for Task 1 in 73/100 (FP 21%, FN 5%), Task 2 in 85/100 (FP 28%, FN 4%) and Task 3 in 64/100 (FP 49%, FN 22%).
conclusionThis study assessed the validity evidence on multiple levels of the three studied tasks. The participants score the RobotiX good on the content validity level. The composite pass/fail scores of Tasks 1 and 2 allow for proficiency-based training and could be implemented in a robot assisted surgery training curriculum.
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