Efectividad de un tratamiento fisioterapico asociado a un programa educativo en el ictus cerebral agudo (Effectiveness of physiotherapy associated with a health education programme for patients with acute cerebral stroke)
Bibliographic record
Abstract
Objective To evaluate the effect of physiotherapy associated with a health education programme for patients with acute cerebral stroke, during the first follow-up month of the condition. The evaluation is based on neurological, motor, functional and social scales. Material and method Pragmatic quasi-experimental study of fifty patients hospitalised with acute stroke and given physiotherapy in hospital, in association with a health education programme. Subjects were evaluated at baseline and after one month of treatment, with respect to functional outcome variables, according to the Canadian Neurological Scale (CNS), the Trunk Control Test (TCT) and the Motricity Index (MI), and with respect to clinical variables, according to the Barthel Index (BI), the Stroke Impact Scale-16 (SIS-16), the Modified Rankin Scale (MRS) and the Multidimensional Scale of Perceived Social Support (MSPSS). Results Statistically significant differences were found for all functional and clinical variables except MSPSS (P<.0001 for CNS (t = 5.945), TCT (t = 7.701), lower-limb MI (t = 5.676), BI (t = 5.360) and SIS-16 (t = 4.809); p = 0.001 for MRS (t = -3.503); P=.01 for upper-limb MI (t = 3.767)). The size effect measured by Cohen's d was large for CNS (1.26), TCT (1.20), BI (1.06) and SIS-16 (0.95), moderate for lower-limb MI (0.67), small for upper-limb MI (0.47) and zero (0) for MRS. Conclusions After one month, physiotherapy associated with a health education programme achieved improvements in the condition of patients with acute stroke, raising outcome scores by 20% according to CNS, thus confirming our hypothesis in this respect. © 2016 Asociacion Espanola de Fisioterapeutas
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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) | 0.001 | 0.001 |
| 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 | 0.001 | 0.000 |
| 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".