Prehabilitation before major abdominal surgery: Evaluation of the impact of a perioperative clinical pathway, a pilot study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background & objective: Major abdominal surgery morbidity can reach 50%. Prehabilitation has shown promising results in decreasing complications. However, it is unknown if prehabilitation can have a positive effect specifically after major abdominal surgery. The goal of this study was to evaluate the feasibility and safety of a prehabilitation program before major abdominal surgery. Methods: All patients evaluated for major abdominal surgery between February and April 2018 were eligible. A 4-week trimodal prehabilitation program combining physical therapy, nutritional support and psychological preparation was set up. Results: Among 106 patients evaluated for major abdominal surgery during the study period, 60 were included in the prehabilitation program. No cardiovascular events occurred during prehabilitation. The 6-min walking distance increased significantly (+45 m, increase of 9.3%, p = 0.008) after prehabilitation (and before the operation). Anxiety, depression, and several quality of life (QoL) items improved. Postoperative 90-day mortality and morbidity were 3.4% and 48%, respectively. Median hospital length of stay, and intensive care unit length of stay were 14 and 6 days, respectively. For 19 patients readmitted, the treatment was medical, radiological, or surgical, for 11, 5, and 3 patients, respectively. Conclusions: Prehabilitation before major abdominal surgery is feasible, safe, and improve patients’ functional reserves, QoL, and psychological status.
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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 | 0.016 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 it