Islet autoimmunity in young First Nations women with prediabetes and type 2 diabetes
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
AIMS: Type 1 diabetes in First Nations peoples is low yet type 2 diabetes is at epidemic proportions. This study aimed to determine the prevalence of islet autoimmunity in First Nations women with dysglycaemia and its association with clinical features. METHODS: One hundred and eighty First Nations women with prediabetes (n = 51) or type 2 diabetes (n = 129) were screened for any of GAD, IA-2 and ZnT8 autoantibodies using 3Screen ELISA, then ELISA for individual autoantibodies for positive screens. Associations between individual antibody positivity and clinical and metabolic characteristics were assessed. RESULTS: Of the 180 women, 16% were positive on 3Screen, comprising 10/51 with prediabetes and 18/129 with diabetes. Sixteen of 28 positive on 3Screen were also positive for at least one individual autoantibody on ELISA testing; with 5/51 (10%) with prediabetes and 11/129 (9%) with diabetes. Individual autoantibody positivity was not associated with clinical and metabolic characteristics or markers of inflammation. CONCLUSIONS: The proportion of individual autoantibody positivity among younger First Nations women with prediabetes or type 2 diabetes was 9%. Islet autoantibody positivity was not associated with a distinct clinical phenotype in this group. Longitudinal follow-up will allow assessment of glycaemic trajectories and clinical outcomes in younger First Nations women.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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