Functional independence, clinical aspects, and sociodemographic factors in patients in the acute phase of stroke: an association analysis
Bibliographic record
Abstract
ABSTRACT Purpose To analyze the association of functional independence with clinical aspects of neurological impairment, the location and extent of neuronal damage and sociodemographic factors in patients in the acute phase of stroke. Methods Analytical cross-sectional study in 90 adult and older patients affected by ischemic stroke, admitted to the hospital within 24 hours of the vascular event. Sociodemographic factors and clinical aspects data were collected from electronic medical records and/or interviews in order to depict the patients'profile, Oxfordshire Community Stroke Project, Alberta Stroke Programme Early CT Score, National Institute of Health Stroke Scale, and Functional Independence Measure. Results Neurological impairment, according to the National Institute of Health Stroke Scale, was associated with functioning in the first 24 hours after the stroke. Furthermore, the presence of arterial hypertension, age, inactive work, smoking and extent of neuronal damage were associated with functional dependence, but did not remain in the final model of this study. Conclusion Functional dependence is associated with arterial hypertension, age, inactive work, smoking, extent of neuronal damage, and degree of neurological impairment in the first 24 hours after the vascular event. Furthermore, a higher level of neurological impairment was independently associated with increased levels of functional dependence.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".