SUBCLINICAL ARTERIAL DAMAGE IN CHILDREN AND ADOLESCENTS WITH TYPE 1 DIABETES
Bibliographic record
Abstract
Objective: Type 1 diabetes is an important risk factor for the development of cardiovascular disease. Pulse wave velocity (PWV) and carotid intima-media thickness (cIMT) measurements are well recognized as independent predictors for future cardiovascular disease. The aim of the current study was to systematically review the literature and conduct a meta-analysis assessing measures of subclinical atherosclerosis and arterial stiffness in children and adolescents with type 1 diabetes in comparison to healthy controls. Design and method: PubMed and the Cochrane Library were searched to identify studies comparing cIMT and carotid-femoral PWV levels between children with type 1 diabetes and healthy controls. Meta-analysis was performed to compare the difference of overall mean cIMT and carotid-femoral PWV levels between the two groups. New Castle Ottawa quality assessment scale for case-control studies was used to assess study quality. Results: Twenty-three studies were finally included in the meta-analysis (20 studies for cIMT and 4 studies for carotid-femoral PWV). Youth with type 1 diabetes had significantly higher cIMT levels than controls (mean difference [d] = 0.03, 95% confidence interval [CI] = 0.02–0.04), as well as higher carotid-femoral PWV levels (d = 0.26, 95% CI = 0.18–0.34) (figure). Heterogeneity was present only in the cIMT analysis (I2 > 90%).Conclusions: Youth with type 1 diabetes showed signs of subclinical atherosclerosis, as suggested by higher levels of cIMT and carotid-femoral PWV compared to healthy controls at childhood and early adulthood. Preventive and therapeutic interventions early in course of disease may be further studied in order to decrease morbidity in this high-risk group.
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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 | 0.007 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.010 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".