PEG-coated patch parenchymal closure technique and initial outcomes during minimally invasive partial nephrectomy
Bibliographic record
Abstract
INTRODUCTION: is a novel polyethylene glycol-coated (PEG-coated) collagen patch that acts as a topical hemostatic agent. It has been applied to a variety of surgical techniques. Here, we present our series and technique using a PEG-coated patch for minimally invasive partial nephrectomy (MIPN). METHODS: We conducted a retrospective chart review of all patients undergoing MIPN by a single surgeon at a tertiary Canadian medical center between July and December 2018. We included patients if a PEG-coated patch was used to close the renal parenchymal defect. We also describe in detail our technique for laparoscopic patch deployment. RESULTS: A total of 17 patients met inclusion criteria, of whom 12 were male. Mean age was 63 years old. Median size of renal mass was 2.85 cm in largest dimension and median RENAL score was 6. Hilar clamping was carried out in 12 (70.9%) cases, with an average warm ischemic time of 16.1 minutes. The remainder of cases were performed off-clamp. Median estimated blood loss was 238 mL and the mean change in hemoglobin on postoperative day 1 compared to preoperatively was 21.2 g/L. The average length of stay was 1.76 days. No patient required blood transfusion or underwent angioembolization or re-operation for bleeding within 90 days. There were no Clavien-Dindo grade 3 or greater complications. CONCLUSIONS: A PEG-coated patch can be used safely and effectively in lieu of traditional two-layer renorrhaphy with acceptable outcomes. Larger, prospective series are required to ascertain its true value and cost-effectiveness.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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".