SP2.2.4 Structured prehabilitation reduces physical deconditioning and improves emotional and physical well-being during neo-adjuvant chemotherapy prior to surgery for oesophageal cancer
Bibliographic record
Abstract
Abstract Introduction Neo-adjuvant chemotherapy (NAC) prior to oesophagectomy is associated with a decline in cardiovascular fitness, sarcopenia and reduced health related quality of life. This study aimed to determine if a structured exercise programmed mitigated these effects. Methods A prospective non-randomised trial compared a standard care pathway to a structured prehabilitation exercise programme undertaken before and during NAC and surgery for oesophageal cancer. Cardiopulmonary Exercise Testing (CPEX), body composition analyses and Health Related Quality of Life questionnaires were performed at multiple time points. Results Comparison of the Intervention (n=22) and Control (n=20) groups demonstrated a decline in patient fitness following NAC, measured by VO2peak. This was blunted by 7.86% in patients undergoing the structured exercise prehabilitation program (-21.40% Control vs -13.54% Intervention p=0.02). Fat Free Mass increased (intervention 16.1 vs. 17.3 kg/m2; control 15.4 vs. 14.8 kg/m2, p=0.056) and Fat Mass Index to Fat Free Mass Index ratio (-5.51% Intervention, 10.74% control p=0.043) decreased in the treatment group. An overall improvement in Mental Wellbeing and Cognitive and Emotional function in HRQL after neo-adjuvant chemotherapy was seen in the intervention group. Conclusion A structured exercise programme prior to neoadjuvant chemotherapy blunts cardiopulmonary deconditioning, reverses sarcopenia and improves the quality of life in patients undergoing a highly debilitating treatment regimen. Further studies will be needed to validate these findings.
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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 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".