Is Routine Imaging Necessary After Pancreatic Resection?
Bibliographic record
Abstract
OBJECTIVES: This study aimed to assess whether routine transabdominal ultrasonography (US) is clinically helpful for the early detection of postoperative pancreatic fistula (PF). METHODS: In a prospective cohort of patients undergoing partial pancreatectomy, US was performed on postoperative day (POD) 3. Potential predictors of PF, including amylase value in drains (AVD) on POD 1, were investigated. A tree-based classification model of the independent predictors of PF was also performed. RESULTS: One hundred seventy-three patients were analyzed. A peripancreatic collection on US and an AVD 5000 U/L or greater on POD 1 were predictors of PF. In the tree-based classification model, patients were stratified by AVD on POD 1. For values less than 5000 U/L (incidence of PF, 11.3%), US had a sensitivity of 23.1% and a specificity of 97.5%. For AVD 5000 U/L or greater (incidence of PF, 70.7%), sensitivity was 46.3% and specificity was 100%. CONCLUSIONS: Despite the presence of a peripancreatic collection as a predictor of PF, US-as a diagnostic test-resulted to be highly specific but poorly sensitive even in the tree-based classification model. Therefore, its role does not seem to be clinically relevant and does not add value to AVD on POD 1, which remains the most powerful and relevant early predictor of PF.
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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) | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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; both teacher heads agree on what is shown here.
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".