Intensive Glucose Lowering and Its Effects on Vascular Events and Death According to Age at Diagnosis and Duration of Diabetes: The ADVANCE Trial
Bibliographic record
Abstract
OBJECTIVE: To compare the vascular effects of pursuing more versus less glucose lowering in patients with younger or older age at diabetes diagnosis, and with shorter or longer diabetes duration. RESEARCH DESIGN AND METHODS: We studied 11,138 participants from the Action in Diabetes and Vascular Disease: Preterax and Diamicron MR Controlled Evaluation (ADVANCE) trial, classified into subgroups defined by age at diabetes diagnosis (≤50, >50-60, and >60 years) and diabetes duration (≤5, >5-10, and >10 years). RESULTS: Intensive glucose lowering significantly lowered the risk of the primary composite outcome of major macrovascular and microvascular events (hazard ratio 0.90, 95% CI 0.82-0.98) with no evidence of heterogeneity in the proportional effects across subgroups defined by age at diagnosis or diabetes duration (P for heterogeneity = 0.86 and 0.47, respectively). Similar consistent treatment effects were also observed for all-cause death, cardiovascular death, and the components of major vascular events. CONCLUSIONS: Intensive glucose lowering may be recommended irrespective of age at diagnosis or diabetes duration.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".