Does outcome of neuropsychological treatment in patients with unilateral spatial neglect after stroke affect functional outcome?
Bibliographic record
Abstract
Background. Unilateral spatial neglect (USN) after stroke is associated to severe disability and to a poor rehabilitation outcome. However it is still unclear if a reduction of USN after a specific neurophsycological treatment could also favor the functional recovery. Aim. The first aim of this study was to determine if low responders to neuropsychological treatment of unilateral spatial neglect may have a worse functional prognosis for activities of daily living. The second aim was to investigate which variables can predict a low response to neuropsychological treatment. Design. Observational study. Setting. Neurorehabilitation hospital in Italy. Population. Two hundred inpatients with the diagnosis of ischemic stroke were screened in this observational study. Inclusion criteria were: patients in subacute phase of first ischemic stroke in right hemisphere. Exclusion criteria were: presence of previous and/or other disabling pathologies, medical conditions contraindicating physical therapy. Data of 73 patients who performed neurorehabilitation and visual scanning training for reducing USN were analysed, while the remaining others were excluded for at least one of the following reasons: hemorrhagic lesions, presence of other chronic disabling pathologies, contraindications for therapy. Methods. USN was evaluated using: Letter Cancellation Test, Barrage Test, Sentence Reading Test and Wundt-Jastrow Area Illusion Test. Barthel Index (BI), Beck Depression Inventory, and Canadian Neurological Scale were also administered. According to the aim of the study, forward binary logistic regressions were performed to evaluate the effects of different factors on functional recovery. Results. Three factors were identified as predictors of low effectiveness in terms of BI-score: older age (odds ratio OR=9.882, P=0.002), severity of disease at admission (OR=12.594, P=0.002) and being low responders to neuropsychological treatment (OR=3.847, P=0.027). Further, the initial barrage score (OR=3.313, P=0.027) and the initial BI-score (OR=3.252, P=0.039) effectively predict the response to neuropsychological treatment. Conclusion. The outcome of the whole rehabilitation resulted affected by the outcome of neuropsychological treatment in patients with USN, being a low score at Barrage test at the beginning of therapy a negative predictor of USN recovery. Clinical Rehabilitation Impact. Patients with USN after stroke can benefit of a specific training for reducing USN also in terms of functional outcome. Further, the simple use of Barrage test could provide important prognostic information about recovery.
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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 | 0.000 |
| 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 | 0.001 |
| 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".