Recovery Time of Independent Poststroke Life Habits: Part II
Bibliographic record
Abstract
The purposes of this study were to determine the time of the recovery of poststroke life habits and to identify prognostic indicators associated with recovery time among stroke patients in a rehabilitation program. A sample of 421 stroke patients who were admitted to a rehabilitation center was recruited from medical records available from January 1987 to December 1992. The relation between the achievement of independent life habits including bed mobility, transfers and ambulation, bathing activities, dressing activities, eating activities, home activities, sphincter control, and sleep with the potential covariates associated with recovery time was assessed through the analysis of survival data using the Cox maximum-likelihood proportional hazard models. The poststroke life habits obtained generated mean recovery times ranging from 5.51 to 57.60 days from admission to rehabilitation. The survival analysis revealed that the recovery time of the selected poststroke abilities was significantly influenced (p <.05) by one or several indicators; these included physical ability and neuropsychological and life habit characteristics. With this precious information, stroke rehabilitation specialists may be able to reduce the length of time required to recover independent poststroke life habits by treating the specific neuropsychological, physical, and life habit characteristics identified in this study. A faster poststroke recovery would reduce the socioeconomic impact generated by stroke disability and would also ensure a better quality of life to the stroke survivor.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 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".