A 31 P-Magnetic Resonance Spectroscopy investigation of peripheral skeletal muscle impairment in children after treatment for leukemia and lymphoma
Bibliographic record
Abstract
Background: Exercise intolerance is a common side-effect of treatment for childhood leukemia and lymphoma and contributes to adverse health and well-being during survivorship. While central, cardiovascular contributors to fitness have been shown to be impaired, the peripheral muscular factors have not been studied in this population. Therefore, peripheral muscular function in children after leukemia and lymphoma treatment remains unstudied. Procedure: Eleven leukemia and lymphoma patients aged 8-18 years old who completed treatment 6-36 months prior and 11 healthy controls were included in analysis. 31 P-MRS was used to characterize muscle bioenergetic metabolism at rest and after in-magnet knee extension exercise. General exercise capacity was assessed using a submaximal graded treadmill test and overall physical activity participation was assessed using the Habitual Activity Estimation Scale (HAES). Results: The patients treated for leukemia and lymphoma exhibited lower anaerobic function (d=0.72), slower metabolic recovery (d=0.93), and lower mechanical muscle power (d=1.09) during in-magnet knee extension exercise compared with the healthy control group. Lower estimated VO2peak (41.61 ± 5.97 vs. 47.71 ± 9.99 ml.min-1 .kg-1 , d=0.76), lower self-reported minutes of physical activity (58.3 ± 35.3 vs. 114.8 ± 79.3 minutes, d=0.99) and higher minutes of inactivity (107.3 ± 74.0 vs. 43.5 ± 48.3 minutes, d=1.04, p<0.05) were also observed in the patient group. Conclusions: Children treated for leukemia and lymphoma exhibit altered peripheral skeletal muscle energy metabolism in addition to previously reported central cardiovascular limitations during exercise. It is likely that both deconditioning and direct effects of chemotherapy treatment contribute to exercise intolerance in this population.
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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 | 0.001 | 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 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".