[ASPECTS-DWI, arterial occlusion sites and subtype of acute ischemic stroke have a relation with outcome following intravenous rt-PA therapy].
Bibliographic record
Abstract
PURPOSE: We evaluated the usefulness of rating diffusion weighted images (DWI) using semiquantitative scores modified from the Alberta Stroke Programme Early CT Score (ASPECTS) to predict deterioration of neurological symptoms in patients with hyperacute ischemic stroke who had undergone thrombolytic therapy with recombinant tissue plasminogen activator (rt-PA). SUBJECTS AND METHODS: We examined 84 patients with acute ischemic stroke treated with intravenous rt-PA. Ischemic changes and vascular lesions were identified using DWI, and magnetic resonance angiography. Early ischemic signs were assessed using ASPECTS-DWI (11 points). Independent outcome was defined by NIHSS at 24 hours after intravenous rt-PA therapy. RESULTS: A total of 58 patients were studied, and NIHSS 27 (46.6%) of them had improved by 4 points in 24 hours. CONCLUSION: Cases of 0≦AD≦3, cardioembolic type cases with internal carotid artery occlusion in the group of 4≦AD≦7 and branch atheromatous disease in the group of 8≦AD were poor outcome at NIHSS 24 hours after intravenous rt-PA therapy for acute ischemic stroke patients.
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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 | 0.000 | 0.002 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".