Classification of postoperative pancreatic fistula after left pancreatectomy: international multicentre cohort study
Bibliographic record
Abstract
BACKGROUND: Postoperative pancreatic fistula (POPF) is a major complication after left pancreatectomy. The current International Study Group of Pancreatic Surgery classification has limitations, including heterogeneity in morbidity and high interobserver variability. This study aimed to assess POPF-related morbidity after left pancreatectomy and propose a refined classification system. METHODS: Patients undergoing left pancreatectomy at nine high-volume centres between January 2010 and April 2023 were included. All postoperative treatments and interventions related to POPF were collected. The Comprehensive Complication Index (CCI) was used to assess total cumulative morbidity. The International Study Group of Pancreatic Surgery B POPF was subclassified (B1 = prolonged drainage, B2 = pharmacological intervention, B3 = percutaneous intervention, B4 = endoscopic or angiographic intervention). A new POPF grading system was developed by combining subclasses with similar morbidity. RESULTS: Among 2284 patients, 497 (21.8%) had B (B1: 48 (2.1%), B2: 135 (5.9%), B3: 175 (7.7%), B4: 99 (4.3%)) or C (40 (1.8%)) POPF. Median (interquartile range) POPF-related CCI was 33.5 (22.6-39.7). A significant overlap existed between B and C POPF in terms of CCI. Median CCI (i.q.r.) increased with the B POPF subclasses (B1-B4), 8.7 (8.7-8.7) - 22.6 (20.9-22.6) - 33.5 (33.5-34.6) - 47.4 (39.7-52.1) (P < 0.001), but no difference between B4 POPF and C POPF was observed (median CCI 47.4 versus 50.2; P = 0.265). The refined POPF grading system consists of grades 0 (including biochemical leak and B1), A (including B2), B (including B3), and C (including B4 and C) reflecting worsening morbidity. CONCLUSION: The current International Study Group of Pancreatic Surgery classification includes highly heterogeneous grade B POPF cases, ranging from minimal to severe morbidity. The refined grading system improves classification and clinical relevance by aligning POPF severity with morbidity and short-term outcomes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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 source (direct Gemma or distilled Codex), 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".