SP2.2.5 Sarcopenia and lymphopenia in patients undergoing chemotherapy and surgery for oesophageal cancer. Can prehabilitive exercise be used to reverse the decline?
Bibliographic record
Abstract
Abstract Introduction Studies have demonstrated that sarcopenia and lymphopenia are associated with poor oncological and survival outcomes in patients with oesophageal cancer. Neo-adjuvant chemotherapy (NAC) for oesophageal cancer is associated with muscle wasting and sarcopenic obesity. Lymphocytes are essential component of anti-tumour immunity. This study assesses the body composition and peripheral blood markers in patients undergoing a structured exercise program, during neo-adjuvant chemotherapy, as part of a non-randomised trial. 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. CT determined body composition analysis and peripheral blood markers were collected at multiple timepoints. Results Comparison of the Intervention (n=21) and Control (n=19) showed Fat Free Mass increased during NAC in the intervention group (16.1 to 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. Lymphocyte subsets showed a marked increase in the intervention group after chemotherapy (CD3 10.92% vs 84.92% p=0.015, CD4 13.27% vs 107.75% p=0.0147, CD8 12% vs 69% p=0.033). Conclusion A structured exercise programme prior to neoadjuvant chemotherapy reverses levels of sarcopenia, reduces visceral adiposity and increases levels of lymphocytes in patients with oesophageal cancer. Further studies will be needed to assess the oncological and clinical implications.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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".