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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".