Effect of alpha-glucosidase inhibitors on progression of carotid intima-media thickness and incidence of diabetes in patients with impaired glucose tolerance: a meta-analysis
Bibliographic record
Abstract
BACkGRouND: Impaired glucose tolerance (IGT) is associated with increased cardiovascular risk. Little is known whether alpha-glucosidase inhibitors (alpha-GIs) can prevent the progression of carotid intima-media thickness (IMT) or the incidence of diabetes, and whether they have any effect on inflammatory biomarkers such as C-reactive protein (CRP) in IGT patients. oBjECTIVE: To perform a systematic review on the effect of acarbose on carotid IMT, incidence of diabetes and CRP in patients with IGT. METhoDS AND RESulTS: A meta-analysis of randomized controlled trials (RCTs) comparing acarbose with control group in prediabetes patients was conducted. Eleven RCTs with 2699 patients were included. Alpha-GI therapy was associated with a significant reduction in progression of carotid IMT (weighted mean difference –0.12 mm [95% CI –0.20 mm to –0.04 mm]; P<0.004). It was also associated with decrease in progression of diabetes (OR=0.46 [95% CI 0.33 to 0.65]; P<0.00001) and a significant reduction in serum CRP (weighted mean difference –1.34 mg/L [95% CI –1.91 mg/L to –0.77 mg/L]; P<0.00001). CoNCluSIoN: The present study suggests that alpha-GI therapy in IGT patients inhibits the progression of diabetes and carotid IMT. The underlying mechanism for preventing carotid IMT progression may be through reducing inflammatory biomarkers such as CRP. More RCTs still need to be carried out to further understand the effect of alpha-GIs on atherosclerosis.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".