Are Canadian pediatric nephrology patients really overweight?
Bibliographic record
Abstract
AIMS: To assess the influence of height age and short stature on BMI z-scores in children with chronic kidney disease (CKD) in view of the pandemic increase of childhood obesity. MATERIALS: Pediatric nephrology patients older than 2 years of age from 2 tertiary centers in Ontario and age- and gender matched controls from a local reference population. METHODS: We estimated height, weight and body mass index (BMI) z-scores of 705 nephrology patients (319 female) and 4,196 controls aged 2.01 - 19.92 years with chronological and height-adjusted age (corresponding age for a given height plotted on the 50th percentile). The National Health and Nutrition Examination Survey (NHANES III) was used for the z-score Estimation. RESULTS: Chronological age-based patient weight z-scores were significantly heavier than in the NHANES data (median weight z-score +0.29, BMI z-score +0.51; significantly non-zero), not significantly different from height-adjusted age-based BMI z-score (+0.51). The children with kidney problems were shorter (-0.10 SD) than controls. CONCLUSION: The proportion of overweight nephrology patients was similar to matched controls and BMI z-score diminished with worsening GFR.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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; both teacher heads agree on what is shown here.
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".