Effect of Anaemia Correction on Skeletal Muscle Metabolism in Patients with End-Stage Renal Disease: <sup>31</sup> P Magnetic Resonance Spectroscopy Assessment
Bibliographic record
Abstract
Skeletal muscle metabolism during exercise was compared in 5 patients with end-stage renal disease (ESRD) and 8 healthy controls, using a noninvasive technique, 31P magnetic resonance spectroscopy (MRS). After 3 months of anaemia correction with recombinant human erythropoietin (rHuEPO) these patients were re-evaluated. Maximal power achieved by the ESRD patients during a dynamic wrist flexion exercise test was 33% lower (p < 0.05) than the controls. Similarly in the ESRD group, the power at the onset of metabolic acidosis (the intracellular threshold) was 29% less than controls. The metabolic differences observed in the patients indicated a lower aerobic capacity. Three months of rHuEPO treatment resulted in a 55% increase in mean haematocrit but conferred no significant improvement in metabolic parameters at rest or during exercise. The lack of any significant changes in muscle metabolism following the correction of anaemia suggests that oxygen availability is not the exclusive limiting factor for aerobic metabolism in ESRD patients.
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 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) | 0.001 | 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 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".