COMPARISON OF ACUTE ISCHEMIC STROKE FUNCTIONAL OUTCOME IN SMOKERS AND NONSMOKERS MEASURED BY CANADIAN NEUROLOGICAL SCALE (CNS) AND NIHSS
Bibliographic record
Abstract
Background. Stroke is the world’s second leading cause of death and main cause of disability. Smoking is a well-known risk factor of stroke. However, the correlation between smoking and stroke outcome is still remains a controversy.Objective. To analyze the differences of functional outcome between smokers and non-smokers in acute ischemic stroke patients.Methods. The design used in this study is retrospective cross-sectional. The functional outcomes of acute ischemic stroke were measured by Canadian Neurologic Scale (CNS) and NIHSS over a period of seven days after the onset of stroke. Differences of CNS and NIHSS were analyzed using Mann-Whitney U test.Results. Median of CNS in smokers and non-smokers were 9.0 and 11.0, respectively. Median of NIHSS in smokers and non-smokers were 4.0 and 2.0, respectively. There were no significant differences in the analysis of CNS score between smokers and non-smokers and NIHSS score analysis between smokers and non-smokers.Conclusion. Smoking is not correlated with the functional outcome in acute ischemic stroke patients measured by CNS and NIHSS.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".