Body Composition Influences Post-Operative Complications and 90-Day and Overall Survival in Pancreatic Surgery Patients
Bibliographic record
Abstract
Introduction: Pancreatic surgery still carries a high morbidity and mortality even in specialized centers. The aim of this study was to evaluate the influence of patients’ body composition on postoperative complications and survival after pancreatic surgery. Methods: This was a retrospective study on patients undergoing pancreatic surgery between March 2012 and December 2017. Demographics, clinical data, and postoperative complications classified according to Clavien-Dindo were recorded. Body composition was assessed using routine diagnostic or staging computed tomography (CT). Multiple Cox proportional hazards models were adjusted. Results: Ninety patients were included, 55% were male, and the mean age was 68 ± 10.9 years. Of these 90, 92% had a total pancreatectomy or pancreaticoduodenectomy, 7% a distal pancreatectomy, and 1% a pancreaticoduodenectomy with multi-visceral resection; 84% had malignant disease. The incidence of major complications was 27.8% and the 90-day mortality was 8.8%. The ratio of visceral fat area/skeletal muscle area (VFA:SMA) was associated with an increased risk of complications (OR 2.24, 95% CI 1.14–4.87, p = 0.03) and 90-day survival (HR 2.13, 95% CI 1.13–4.01, p = 0.019). On simple analysis, shorter overall survival (OS) was observed in patients aged ≥70 years (p = 0.0009), with postoperative complications ≥IIIb (p = 0.01), an increased VFA:SMA (p = 0.007), and decreased muscle radiation attenuation (p = 1.6 × 10–5). In an OS model adjusted for age, disease malignancy, postoperative complications, and body composition parameters, muscle radiation attenuation remained significantly associated with survival (HR 0.94, 95% CI 0.90–0.98, p = 0.0016). A model which included only body composition variables had a discrimination ability (C-statistic 0.76) superior to a model which comprised conventional clinical variables (C-statistic 0.68). Conclusion: Body composition is a major determinant of postoperative complications and survival in pancreatic surgery patients.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".