Creatinine as a Measure of Lean Body Mass During Treatment of Acute Lymphoblastic Leukemia in Childhood
Bibliographic record
Abstract
Protein energy malnutrition is well-recognized in children with acute leukemia and may result in loss of lean body mass (LBM) with attendant morbidities. Much of the LBM consists of skeletal muscle, the mass of which is reflected in urinary creatinine excretion. As accurate 24 hours urine collections are challenging in children, we investigated the prospect that serum creatinine concentration provides a measure of LBM. Eleven children with acute lymphoblastic leukemia were assessed at 7 time points (6-mo intervals) from diagnosis to 1 year after the completion of therapy. LBM was measured as fat-free mass by dual energy x-ray absorptiometry (DXA scans) and correlated with serum creatinine concentration and 24 hours urine creatinine excretion. As expected, there was a strong correlation between 24 hours urinary creatinine excretion and LBM from DXA scans (r=0.79, P<0.001). Serum creatinine concentration also correlated with LBM (r=0.52, P<0.001). Serum creatinine concentration provides a surrogate measure of LBM in children with acute lymphoblastic leukemia. This will be especially useful in countries with limited resources in which more sophisticated measures, such as DXA scans, are seldom available.
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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 | 0.004 |
| 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 | 0.001 | 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".