Commentary on the Results and Clinical Implications of the PROactive Study
Bibliographic record
Abstract
T hiazolidinediones (TZDs), or glitazones, are a relatively new class of oral drugs that are used to treat type 2 diabetes.1-4 They lower blood glucose by targeting insulin resistance, one of the major underlying causes of the disease. In addition to their ability to lower blood glucose, TZDs also display a wide range of effects on lipids, blood pressure, weight, and other cardiovascular and metabolic risk factors. As with all other drugs, they can be associated with undesirable side effects. By virtue of their glucose-lowering properties, all such agents will significantly reduce the risk of the microvascular complications associated with diabetes. On the other hand, no glucose-lowering agent has clearly been shown to significantly reduce macrovascular disease. Since TZDs, in general, have a net favorable impact on blood lipid levels, may be associated with a reduction in blood pressure, and have positive effects on other physiological parameters associated with vascular disease (e.g., decreasing vascular inflammation, reducing insulin resistance), they have the potential to slow the progression of cardiovascular disease (CVD) in addition to lowering blood glucose. Because of the above favorable actions of TZDs, the Prospective Pioglitazone Clinical Trial in Macrovascular Events (PROactive) was initiated to assess the effects of pioglitazone (Actos; Takeda Pharmaceuticals and Eli Lilly) on the secondary prevention of macrovascular events in type 2 diabetic patients. PROactive was a randomized, double-blind, placebo-controlled study in 5,238 patients with type 2 diabetes who were managed with diet and/or glucose-lowering medications and who had a history of macrovascular disease.5 Male or female patients, aged 35-75 years, were randomized to receive placebo or pioglitazone titrated over 2 months to its maximally approved dosage (45 mg/day). Because study participants had preexisting CVD and diabetes of long duration (average 8 years), virtually all subjects at the time of enrollment …
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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 | 0.050 | 0.230 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.006 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.015 | 0.004 |
| Research integrity | 0.096 | 0.061 |
| Insufficient payload (model declined to judge) | 0.023 | 0.017 |
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".