Final infarct volume discriminates outcome in mild strokes
Why this work is in the frame
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Bibliographic record
Abstract
INTRODUCTION: Knowledge of whether final infarct volume (FIV) predicts disability after mild stroke is limited. We sought to determine if FIV could differentiate good versus poor outcome after mild stroke. METHODS: We retrospectively identified 65 patients with mild stroke (National Institutes of Health Stroke Scale≤5) in a multicenter registry of 2453 patients. We evaluated associations between FIV and clinical outcome and evaluated the optimal FIV threshold that discriminated favorable (modified Rankin scale (mRS) 0-1) versus poor (mRS 2-6) outcome. RESULTS: The FIV cut-point of 20 mL differentiated favorable and poor outcomes (area under curve (AUC) 0.73, 95% confidence interval: 0.58-0.88). Favorable outcome was observed in 37/45 (82%) with FIV<20 mL, compared to 5/14 (36%) with FIV≥20 mL (p<0.01). FIV≥20 mL remained strongly associated with poor outcome independent of age, gender, stroke severity, Alberta Stroke Program Early CT Score (ASPECTS), and proximal arterial occlusion. CONCLUSION: In our small sample size, an FIV of 20 mL best differentiated between the likelihood of good versus poor outcome in patients with mild stroke. Further validation of infarct volume as a surrogate marker in mild stroke is warranted.
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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) | 0.000 | 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 | 0.001 |
| 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 it