Overweight, central obesity, and cardiometabolic risk factors in pediatric liver transplantation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
UNLABELLED: PTMS describes the presence of ≥3 cardiometabolic risk factors that include obesity, hypertension, dyslipidemia, and IR. The prevalence of the clustering of ≥3 cardiometabolic risk factors or central obesity has not been studied in pediatric LT recipients. Single-center, cross-sectional study. INCLUSION CRITERIA: LT recipients 2-18 yr-old, at least one yr post-LT. EXCLUSION CRITERIA: recipients of liver retransplants or multivisceral transplants. Eighty-seven patients were identified. Median age was 9.8 yr (range 2-18), median time since LT was 6.9 yr (range 1-17). The most common indication for LT was biliary atresia (56%), and the most frequently used immunosuppressant was tacrolimus (80%). The prevalence of overweight and obesity was 21% and 5%, respectively. Central obesity affected 14%, hypertension 44%, IR 27%, low HDL 20%, and hypertriglyceridemia 39% of patients. The prevalence of ≥3 cardiometabolic risk factors was 19%. Fifty percent of the overweight/obese patients had ≥3 risk factors. Time since transplant, immunosuppression and renal function were not different between those with <3 or ≥3 risk factors. Clustering of cardiometabolic risk factors is prevalent in pediatric LT recipients, suggesting an increased risk of future CV events.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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 it