Observational studyJournal of gynecologic oncology2021
Mapping the robotic hysterectomy learning curve and re-establishing surgical training metrics.
Observational study in Journal of gynecologic oncology, 2021. 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.
- Determining the metrics of competence in robotic hysterectomy: a systematic review.Journal of robotic surgery · 2025Pooled it
- Evaluation of objective tools and artificial intelligence in robotic surgery technical skills assessment: a systematic review.The British journal of surgery · 2024Pooled it
- Skill assessment based on clutch use in cross-platform robot-assisted surgery.Surgical endoscopy · 2024Article
- Novel workflow analysis of robot-assisted hysterectomy through objective performance indicators: a pilot study.Frontiers in medicine · 2024Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveCommon robotic training curricula in the US entail completion of an online module followed by lab training with standardized exercises, such as manipulating needles with robotic needle drivers. Assessments are generally limited to elapsed time and subjective proficiency. We sought to test the feasibility of a simulation-based robotic hysterectomy curriculum to collect objective measurements of trainee progress, map the trainee learning curve and provide a system for trainee-specific evaluation.
methodsAn observational cohort study of a single institutions' residency members participating in a procedural hysterectomy simulation performed every 4 months. Each simulation episode had one-on-one teaching. The robotic platform was used to measure all movements within cartesian coordinates, the number of clutches, instrument collisions, time to complete the simulated hysterectomy, and unintended injuries during the procedure.
resultsVoluntary participation was high. Objective metrics were successfully recorded at each session and improved nearly universally. More senior residents demonstrated superior capabilities compared to junior residents as expected. The majority of residents (29/31) were able to complete an entire simulated hysterectomy in the allotted 30-minute training session period by the end of the year.
conclusionsThis program establishes learning curves based on objective data points using a risk-free simulation platform. The curves can then be used to evaluate trainee skill level and tailor teaching to specific objective competencies. The pilot curriculum can be tailored to the unique needs of each surgical discipline's residency training.
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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.