Diabetes Prevention Trial 1
Bibliographic record
Abstract
The Diabetes Prevention Trial Type 1 (DPT-1) has recruited relatives of patients with type 1 diabetes throughout the United States and Canada. Of the group screened before June 30, 2000, 71,148 initial screening samples of DPT-1 subjects were tested for GAD65 autoantibodies (GAA) and ICA512 (IA-2) autoantibodies (ICA512AA). Of 71,148 relatives screened, first-degree relatives (4.63%, n = 59,752) had a significantly higher prevalence of autoantibodies than did second-degree relatives (2.61%, n = 9,856) (P < 0.0001 for both autoantibodies). Among first-degree relatives, siblings (5.47%, n = 27,128) had a significantly higher prevalence of autoantibodies than did offspring (3.98%, n = 17,063) and parents (3.88%, n = 15,561) (P < 0.0001 for both autoantibodies). Among offspring, the offspring (n = 105) of both parents with diabetes had twice (8.57%) the prevalence of autoantibodies than did the offspring (n = 16,901) of a single diabetic parent (3.96%). Interestingly, the offspring (n = 8,777) of diabetic fathers had a significantly higher prevalence of autoantibodies than did the offspring (n = 8,124) of diabetic mothers, but only among those aged 10-30 years (P < 0.0001). We conclude that the prevalence of anti-islet cell autoantibodies is affected by multiple levels of relationship to the proband.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".