Passive Versus Active Intra‐Abdominal Drainage Following Pancreaticoduodenectomy: A Retrospective Study Using The American College of Surgeons NSQIP Database
Bibliographic record
Abstract
BACKGROUND: Prophylactic drainage following pancreaticoduodenectomy (PD) reduces morbidity and mortality. Little evidence exists to advise on whether passive gravity (PG) or active suction (AS) drainage systems result in superior outcomes. This study examines the relationship between drainage system and morbidity following PD. METHODS: All patients undergoing elective PD with an operatively placed drain in the 2016 ACS-NSQIP database were included. Pre- and intra-operative factors were examined. Multivariable logistic regression and coarsened exact matching (CEM) were used to assess for an association between drainage system (PG vs. AS) and morbidity. The primary outcome was postoperative pancreatic fistula (POPF). RESULTS: In total, 3430 patients were included: 563 (16.4%) with PG and 2867 (83.6%) with AS drainage system. On multivariable regression, 1787 patients were included. Drainage type was not associated with POPF, surgical site infection, delayed gastric emptying, or re-operation. AS drainage was protective against percutaneous drain insertion (OR 0.65, 95% CI 0.44-0.96, p = 0.033). In the CEM cohort (n = 268), superficial SSI was higher in the AS group (0.8% vs. 6.0%, p = 0.036). There was a trend toward higher rates of composite total SSI (PG 15.7%, AS 23.9%, p = 0.092) and organ space SSI (PG 14.2%, AS 20.2%, p = 0.195) in the AS group; this did not demonstrate statistical significance. CONCLUSIONS: The findings of this study suggest that AS drainage is protective against percutaneous drain insertion, but may be associated with increased risk of SSI. There was no relation between drainage type and POPF. A prospective, randomized controlled trial is warranted to further explore these findings.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 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 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".