Understanding vascular complications in children from type 1 diabetes diagnosis: protocol for a prospective cohort study in Vancouver, Canada
Bibliographic record
Abstract
INTRODUCTION: Cardiovascular disease is a major complication of type 1 diabetes (T1D). There is evidence of cardiovascular damage in children who have T1D but it is unclear how and when the cardiovascular damage begins. There is also minimal data on cardiovascular complications in children with T1D living in Canada. The goal of this project is to determine the timing and factors leading to vascular damage in children (aged 8-18 years) from T1D diagnosis. METHODS AND ANALYSIS: This is a prospective longitudinal cohort study investigating vascular health in children through the first 2 years of T1D diagnosis living in Metro Vancouver, Canada. The primary outcomes of the study include changes in arterial stiffness (pulse wave velocity; Augmentation Index), clinic and 24-hour ambulatory blood pressure, and blood biomarkers of vascular damage. Secondary outcome measures include body composition, surrogate markers of adiposity (Body Mass Index, waist circumference), and nutritional assessment, physical activity, glycated haemoglobin (A1C), and to determine the relationships to measures of arterial stiffness, 24-hour ambulatory blood pressure and blood biomarkers of vascular damage. We will also collect sociodemographic data and pubertal status (Tanner staging). Assessments will be performed at diagnosis (within 14 weeks of T1D diagnosis; baseline) and at 6, 12, 18 and 24 months post-diagnosis. ETHICS AND DISSEMINATION: This protocol has been approved by the University of British Columbia Clinical Research Ethics Board and the Children's and Women's Health Centre of British Columbia Research Ethics Board (H21-03109). Results will be disseminated through clinical and community presentations and peer-reviewed manuscripts. We will also present our findings to people living with T1D, such as the Young & T1 group. TRIAL REGISTRATION NUMBER: NCT05790785.
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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 | 0.019 | 0.013 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.038 | 0.005 |
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".