Virtual reality simulation training in endoscopy: a Cochrane review and meta-analysis
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Endoscopy programs are increasingly integrating simulation training. We conducted a systematic review to determine whether virtual reality (VR) simulation training can supplement and/or replace conventional patient-based endoscopy training for health professional trainees with limited or no prior endoscopic experience. METHODS: We searched medical, educational, and computer literature databases in July 2017 for trials that compared VR simulation training with no training, conventional training, another form of simulation training, or an alternative method of VR training. We screened, abstracted data, and performed quantitative analysis and quality assessment through Cochrane methodology. RESULTS: We included 18 trials with 3817 endoscopic procedures. VR training provided no advantage over no training or conventional training based on the primary outcome of composite score of competency. VR training was advantageous over no training based on independent procedure completion (relative risk [RR] = 1.62, 95 % confidence interval [CI] 1.15 - 2.26, moderate-quality evidence), overall rating of performance (mean difference [MD] 0.45, 95 %CI 0.15 - 0.75, very low-quality evidence), and mucosal visualization (MD 0.60, 95 %CI 0.20 - 1.00, very low-quality evidence). Compared with conventional training, VR training resulted in fewer independent procedure completions (RR = 0.45, 95 %CI 0.27 - 0.74, low-quality evidence). We found no differences between VR training and no training or conventional training for other outcomes. Based on qualitative analysis, we found no significant differences between VR training and other forms of simulation training. VR curricula based in educational theory provided benefit with respect to composite score of competency, compared with unstructured curricula. CONCLUSIONS : VR simulation training is advantageous over no training and can supplement conventional endoscopy training. There is insufficient evidence that simulation training provides benefit over conventional training.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.009 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it