Autoantibodies to GAD and IA‐2 in Saudi Arabian diabetic patients
Bibliographic record
Abstract
AIMS: To determine the prevalence of autoantibodies in sera of Saudi diabetic patients including Type 1 and Type 2 diabetes mellitus (DM) and gestational diabetes mellitus (GDM) living in Jeddah, Saudi Arabia. Apart from data on the prevalence of islet-cell antibodies in patients in Ryhadh (Al-Attas et al. Frequency of islet cell antibodies in adult newly diagnosed diabetic patients. Ann Saudi Med 1990; 10: 369-373) immunological markers of autoimmune diabetes have not been explored in Saudi Arabians. METHODS: Autoantibodies to GAD65 (GADA) and IA-2 (IA-2A) were determined using radio-immunoprecipitation assays. RESULTS: In Type 1 DM patients, 54% were GADA+ and 27% were IA-2A+. A greater negative effect of disease duration was noted for IA-2A than for GADA positivity. Autoantibodies were more prevalent with younger age of onset. GADA were slightly more common in female Type 1 DM patients. In Type 2 DM, 8/99 patients were GADA+, and three of these patients with shorter disease duration were also IA-2A+. GADA, and particularly IA-2A, were associated with a younger age of onset of Type 2 DM and all the autoantibody-positive Type 2 DM patients were insulin-treated. GADA were detected in 2.2% of GDM patients, but none of these patients possessed IA-2A. CONCLUSIONS: The prevalence and associations of autoantibodies in Saudi diabetic patients are very similar to those reported for diabetic patients in other ethnic groups.
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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".