Predictors of good prognosis in total anterior circulation infarction within 6 h after onset under conventional therapy
Bibliographic record
Abstract
OBJECTIVE: We investigated the predictors of good prognosis in total anterior circulation infarction (TACI), under conventional therapy. METHODS: We enrolled 166 patients with first-ever ischemic stroke within 6 h after onset with symptoms of TACI. Sixty-three patients (38.0%) with good outcome [G group, the modified Rankin Disability Scale (mRS) after 3 months < or =3] and 103 patients (62.0%) with bad outcome (B group, mRS >3) were compared. RESULTS: On univariate analysis, G group patients were significantly younger, had lower score in the National Institutes of Health Stroke Scale (NIHSS) of total and consciousness sub-score, had lower rate of clinical deterioration. On cranial CT at entry, three early CT signs [hyperdense middle cerebral artery (MCA) sign, hypodensity of >1/3 MCA and brain swelling] were significantly more frequent in the B group. On the second CT at 24-48 h, infarct area as assessed by the Alberta Stroke Programme Early CT Score (ASPECTS) was significantly smaller in the G group. Multivariate analysis with logistic regression revealed age <7 0 years, NIHSS < or =15, no clinical deterioration, and only no brain swelling in early CT signs, and ASPECTS > or =7 as independent predictors of good prognosis. CONCLUSIONS: Some clinical variables are useful in predicting outcome in TACI within the early period after stroke onset.
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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 | 0.000 | 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 | 0.000 |
| 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".