Effect of acarbose treatment on the risk of silent myocardial infarctions in patients with impaired glucose tolerance: results of the randomised STOP-NIDDM trial electrocardiography substudy
Bibliographic record
Abstract
BACKGROUND: The moderate increase in postprandial plasma glucose in subjects with impaired glucose tolerance has been shown to be a predictor of cardiovascular disease. In the randomised STOP-NIDDM trial, we could demonstrate that lowering postprandial plasma glucose with acarbose in subjects with impaired oral glucose tolerance could reduce the risk of diabetes. METHODS: The current report focuses on the effect of acarbose on silent ischaemic events evaluated in the electrocardiographic substudy, using the Minnesota code classification. RESULTS: A total of 1181 patients were included in the ECG substudy. From these 72 patients had significant changes between the baseline and end of treatment ECG, 33 in the acarbose and 39 in the placebo group. Higher rates of myocardial infarctions occurred in the placebo group (P=0.07 with Fisher's Exact test and P=0.023 with Chi-square test), while there were no differences between the two groups with ECG changes classified under the other Minnesota codes. CONCLUSIONS: In this prospective intervention study we could show that acarbose, by decreasing postprandial hyperglycaemia, can reduce the incidence of silent myocardial infarctions in subjects with impaired glucose tolerance. This approach should therefore be evaluated in other higher risk populations.
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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 | 0.011 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.004 |
| 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 | 0.000 | 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".