Post‐stroke Spasticity: Predictors of Early Development and Considerations for Therapeutic Intervention
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: The complexities of post-stroke spasticity (PSS), and the resultant difficulties in treating the disability, present a significant challenge to patients, stroke rehabilitation teams, and caregivers. Reducing the severity of spasticity and its long-term complications may be facilitated by early intervention, making identification of stroke patients at high risk for developing spasticity essential. Factors that predict which patients are at risk for the development of PSS are identified. TYPE: Systematic search and review LITERATURE SURVEY: A PubMed search of the following terms was conducted: predictors OR risk factors AND stroke AND spasticity. Studies discussing predictors of early PSS development and factors predictive of motor/functional outcomes and recovery were selected and reviewed in detail. SYNTHESIS: Several predictors of PSS have been proposed, based on studies conducted in patients within 6 months after stroke, including development of increased muscle tone, greater severity of paresis, hemihypesthesia, and low Barthel Index score. Predictors identified in later stages post-stroke (within 12 months) have also proved useful for clinicians, as has the consideration of predictors of motor and functional outcomes and recovery; yet there is a need for additional studies in this area. An understanding of these and other potential predictive factors--such as motor impairment, neurologic and sensory deficit, lesion volume and location, and associated diseases--has not progressed to the same extent and warrants further investigation. CONCLUSION: The studies discussed in this review support the notion that early identification of factors predictive of PSS should significantly affect the course of intervention, help target individuals who would benefit most from specific types and intensities of therapy, and possibly provide better motor and functional outcomes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it