Transgastric and Transperineal Natural Orifice Translumenal Endoscopic Surgery (NOTES) in an Appendectomy Test Bed
Why this work is in the frame
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Bibliographic record
Abstract
INTRODUCTION: Our purpose was to establish a NOTES appendectomy test bed to evaluate whether the transgastric or transperineal (transvaginal) approach is most efficient. METHODS: Using the uterine horns of female pigs as a model for appendectomy, 18 NOTES appendectomies were performed in 2 arms: 9 transgastric and 9 transvaginal. The primary outcome was mean total operative time for each technique excluding access closure. Secondary outcomes were peritoneal access and resection times. Means were compared using Student's t-test. RESULTS: Transgastric cases were faster than transperineal (46.5+/-14.5 vs 60.0+/-20.2 minutes, P=.02). Most of the improvement in transgastric times was due to faster resection (37.9+/-17.4 vs 51.3+/-16.5 minutes, P=.03). Neither approach was faster for peritoneal access (8.2+/-3.4 vs 8.3+/-4.5 minutes, nonsignificant). A significant learning curve was not demonstrated for the transgastric approach (53.0 vs 40.3 minutes, nonsignificant). A significant learning curve was demonstrated for the transperineal approach (76.0 vs 46.7 minutes, P=.02). Transperineal times improved over the study and approached transgastric; however, the last three transgastric cases were still significantly faster than the last three transperineal (40.3 vs 46.7 minutes, P=.02). No complications occurred in either group. CONCLUSIONS: The transgastric as compared with transperineal approach to NOTES appendectomy resulted in improved operative time in this model. The transperineal approach demonstrated a significant learning curve with operative times between techniques converging over time. This NOTES appendectomy test bed is suitable for evaluating NOTES innovations.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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) | 0.000 | 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