Supervised Home-Based Exercise Prehabilitation in Unfit Patients Scheduled for Pancreatic Surgery: Protocol for a Multicenter Feasibility Study
Bibliographic record
Abstract
BACKGROUND: Morbidity rates in pancreatic surgery are high, and frail patients with low aerobic capacity are especially at risk of complications and require prophylactic interventions. Previous studies of small patient cohorts receiving intra-abdominal surgery have shown that an exercise prehabilitation program increases aerobic capacity, leading to better treatment outcomes. OBJECTIVE: In this study, we aim to assess the feasibility of a home-based exercise prehabilitation program in unfit patients scheduled for pancreatic surgery on a larger scale. METHODS: at peak exercise ≤18 mL/kg/min will be recruited. A total of 30 patients will be included in the 4-week, home-based, partly supervised exercise prehabilitation program. The program comprises 25-minute high-intensity interval training on an advanced cycle ergometer 3 times a week. Training intensity will be based on steep ramp test performance (ie, a short-term maximal exercise test on a cycle ergometer), aiming to improve aerobic capacity. Twice a week, patients will perform functional task exercises to improve muscle function and functional mobility. A steep ramp test will be repeated weekly, and training intensity will be adjusted accordingly. Next to assessing the feasibility (participation rate, reasons for nonparticipation, adherence, dropout rate, reasons for dropout, adverse events, and patient and therapist appreciation) of this program, individual patients' responses to prehabilitation on aerobic capacity, functional mobility, body composition, quality of life, and immune system factors will be evaluated. RESULTS: Recruitment for this study began in January 2022 and is expected to be completed in the summer of 2023. CONCLUSIONS: Results of this study will provide important clinical and scientific knowledge on the feasibility of a partly supervised home-based exercise prehabilitation program in a vulnerable patient population. This might ease the path to implementing prehabilitation programs in unfit patients undergoing complex abdominal surgery, such as pancreatic surgery. TRIAL REGISTRATION: ClinicalTrials.gov NCT05496777; https://classic.clinicaltrials.gov/ct2/show/NCT05496777. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/46526.
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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 | 0.024 | 0.011 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.026 | 0.005 |
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".