Natural History of β-Cell Autoimmunity in Young Children with Increased Genetic Susceptibility to Type 1 Diabetes Recruited from the General Population
Bibliographic record
Abstract
The aim of this study was to evaluate the frequency and predictive value of diabetes-associated autoantibodies, such as islet cell antibodies (ICA) and autoantibodies to insulin (IAA), GAD65 (GADA), and the IA-2 molecule (IA-2A) in genetically susceptible children from the general population during the first 2 yr of life. Of 12,170 newborn infants, 1,005 with increased genetic risk of type 1 diabetes (high risk, human leukocyte antigen DQB1*02/*0302; moderate risk, DQB1*0302/x, where x = other than *02, *0301, or *0602) were monitored for ICA, IAA, GADA, and IA-2A at 3- to 6-month intervals from birth up to a minimum age of 2 yr. In addition, all 15 genetically susceptible children from the general population who had participated in regular immunological follow-up and developed clinical type 1 diabetes by the end of April 2000 were analyzed for the development of autoantibodies. Among 1,005 children, 63 (6.3%) tested positive for at least one autoantibody, 31 for ICA (3.1%), 48 for IAA (4.8%), 23 for GADA (2.3%), and 13 for IA-2A (1.3%) at least once by the age of 2 yr. Both ICA and IAA identified 95% [95% confidence interval (CI), 77.2-99.9%] of those who tested persistently positive for multiple (> or = 2) antibodies at the age of 2 yr, GADA identified 86% (CI, 65.1-97.1%), and IA-2A identified 55% (CI, 32.2-75.6%). Close to half of the antibody-positive children (29 of 63) reverted back to antibody negativity. Autoantibodies disappeared more often among those who tested positive for IAA than among those who tested positive for other autoantibodies (P < or = 0.021). Among the 15 children who developed type 1 diabetes, the disease sensitivity of ICA was 80% (CI, 51.9-95.7%), that of IAA was 93% (CI, 68.0-99.8%), that of GADA was 60% (CI, 32.3-83.7%), and that of IA-2A was 40% (CI, 16.3-67.7%). These results suggest that IAA are characterized by high sensitivity, early appearance, and high frequency of transient antibody positivity, whereas ICA detected with a thoroughly standardized assay appear to be more specific for the screening of beta-cell autoimmunity in young children with increased genetic susceptibility to type 1 diabetes in the Finnish population, which has the highest incidence of type 1 diabetes in the world.
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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 | 0.000 | 0.003 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".