Serum creatinine: A surrogate measurement of lean body mass in children with acute lymphoblastic leukemia
Bibliographic record
Abstract
BACKGROUND: Since creatinine is formed almost exclusively in skeletal muscle, the hypothesis of a relationship between serum creatinine (SC) and lean body mass (LBM), determined by dual-energy X-ray absorptiometry (DXA), was tested. METHODS: Two cohorts of patients were analyzed: 37 children with acute lymphoblastic leukemia (ALL) and 20 children with primary muscular disorders (PMD). The latter cohort was used as a comparative group. Statistical analyses were performed using linear regressions. RESULTS: A strong correlation was demonstrated between SC and LBM in the patients with PMD (r = 0.77) and in patients with ALL (r = 0.83 at diagnosis; r = 0.77 on therapy; and r = 0.56 off therapy). The correlation between SC and body size (body mass index) was much weaker (r = 0.38; r = -0.09; r = 0.29 at the successive observations in the ALL cohort and r = 0.05 in the PMD cohort). These data provide support for the initial hypothesis. CONCLUSIONS: Further investigations with a wider variety of diseases are needed for this will allow the consideration of SC as a general surrogate measure of LBM and consequently of nutritional status.
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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 | 0.001 | 0.005 |
| 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 | 0.001 |
| 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".