Microbleeds in the Secondary Prevention of Small Subcortical Strokes Trial: Stroke, mortality, and treatment interactions
Bibliographic record
Abstract
OBJECTIVE: To characterize cerebral microbleeds (CMBs) in lacunar stroke patients in the Secondary Prevention of Small Subcortical Strokes (SPS3) trial and to assess their relationship with recurrent stroke and death, and response to assigned treatment. METHODS: SPS3 is a randomized, clinical trial conducted between 2003 and 2011. Patients with recent magnetic resonance imaging (MRI)-documented lacunar infarcts were randomly assigned in a factorial design to target levels of systolic blood pressure (130-149mmHg vs <130mmHg; open label) and to antiplatelet treatment (aspirin/clopidogrel vs aspirin/placebo; double-blinded). The current analysis involves 1,278 trial participants who had a baseline axial T2*-weighted gradient echo MRI sequence allowing for CMB detection. RESULTS: CMBs were present in 30% of 1,278 patients (mean age = 63 years). Male gender (odds ratio [OR] = 1.7, 95% confidence interval [CI] = 1.3-2.3), history of hypertension (OR = 1.6, 95% CI = 1.2-2.3), increased systolic blood pressure (1.2 per 20mmHg, 95% CI = 1.1-1.4), nondiabetic status (OR = 1.4, 95% CI = 1.1-1.9), multiple old lacunar infarcts (OR = 1.9, 95% CI = 1.5-2.5), and moderate (OR = 1.7, 95% CI = 1.2-2.3) or severe (OR = 4.2, 95% CI = 3.0-5.9) white matter hyperintensities on MRI were independently associated with CMBs. During a mean follow-up of 3.3 years, overall stroke recurrence was 2.5% per patient-year. Patients with CMBs had an adjusted 2-fold increased risk of recurrent stroke (hazard ratio = 2.1, 95% CI = 1.4-3.1). CMBs were not a risk factor for death. There were no statistically significant interactions between CMBs and treatment assignments. INTERPRETATION: Patients with lacunar stroke and CMBs likely harbor a more advanced form of cerebral small vessel disease in need of efficacious therapeutic strategies. Ann Neurol 2017;82:196-207.
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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) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".