Telmisartan on Top of Antihypertensive Treatment Does Not Prevent Progression of Cerebral White Matter Lesions in the Prevention Regimen for Effectively Avoiding Second Strokes (PRoFESS) MRI Substudy
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: High blood pressure is one of the main risk factors for cerebral white matter lesions (WMLs). There is limited evidence from one randomized trial that blood pressure-lowering is able to slow WML progression. We investigated whether telmisartan prevents WML progression in the imaging substudy of the Prevention Regimen for Effectively Avoiding Second Strokes (PRoFESS) trial. METHODS: This predefined substudy comprised 771 patients (mean age, 65 years) with recent ischemic stroke of noncardioembolic origin who received telmisartan or placebo during a mean follow-up of 27.9 (SD, 7.6) months and had 2 evaluable MRI examinations after index stroke and at study closeout. All MRI scans were centrally adjudicated for progression of periventricular and subcortical WML by 2 neuroradiologists blinded to treatment allocation. RESULTS: Mean blood pressure was 3.0/1.3 mm Hg lower with telmisartan compared with placebo at follow-up MRI. There was no statistically significant difference in progression of the mean periventricular WML score (least squares mean difference, 0.14; 95% CI, -0.12 to 0.39; P=0.29) and mean subcortical WML diameter (least squares mean difference, -0.35 mm; 95% CI, -1.00 to 0.31 mm; P=0.30) during follow-up between patients on telmisartan and placebo. CONCLUSIONS: Treatment with telmisartan on top of existing antihypertensive medication did not result in significant blood pressure-lowering and did not prevent the progression of WML in patients with a recent ischemic stroke in this patient cohort. Our analysis is limited by the relatively short follow-up period. Clinical Trial Registration- URL: http://clinicaltrials.gov. Unique Identifier: NCT00153062.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".