Getting Started with Minimally Invasive Pancreaticoduodenectomy: Is It Worth It?
Bibliographic record
Abstract
BACKGROUND: This study evaluates the safety and cost of introducing minimally invasive pancreaticoduodenectomy (MIPD) to a surgeon's practice. SUBJECTS AND METHODS: All MIPDs performed between December 2011 and July 2013 were compared with open pancreaticoduodenectomy (OPD) cases by the same surgeon. The primary outcomes were mortality, major morbidity, and re-operation. Secondary outcomes were perioperative and oncologic outcomes and cost. MIPD include total laparoscopic pancreaticoduodenectomy (TLPD) and laparoscopic-assisted pancreaticoduodenectomy (LAPD), where a small incision is used for reconstruction. Bivariate comparisons of outcomes were performed using nonparametric tests. RESULTS: In total, 44 pancreaticoduodenectomies were performed: 15 MIPDs (2 TLPDs and 13 LAPDs) and 29 OPDs. One death occurred in each group. Major complication rates were not significantly different (33% for MIPD versus 17% for OPD); however, there was a trend toward more re-operation after MIPD compared with OPD (20% versus 3%; P = .07). The incidence of pancreatic leak (20% for MIPD versus 14% for OPD), biliary leak (0% versus 7%, respectively), abscess formation (27% versus 14%, respectively), and intraabdominal hemorrhage (13% versus 3%, respectively) were not significantly different. MIPD achieved equivalent oncologic outcomes as OPD with 100% R0 margin and adequate lymph node retrieval. There was no statistical difference in median operative time (342 minutes for MIPD versus 358 minutes for OPD), length of stay (8 versus 9 days, respectively), operating room expenses (Canadian) ($7246.0 versus $6912.0, respectively), or total cost (Canadian) per case ($15,034.0 versus $18,926.0, respectively). CONCLUSIONS: MIPD and OPD had similar safety and cost in this introductory series. However, a trend toward a higher rate of re-operation for pancreatic leak suggests the need for caution in introducing this novel technique.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".