Effectiveness of Neurodynamic Interventions in Patients With Stroke: Protocol for a Systematic Review and Meta-analysis
Bibliographic record
Abstract
BACKGROUND: Stroke is the most common and serious neurological condition, which can lead to death, limited functionality, and reduced quality of life. Studies with conflicting results and various methodological limitations have been conducted to assess the effectiveness of neurodynamic interventions for patients with stroke. OBJECTIVE: This systematic review and meta-analysis aimed to investigate the pooled effectiveness of different neurodynamic interventions on patients with stroke. METHODS: The PubMed, PEDro, and Google Scholar databases will be searched for studies published with full text in the English language from inception to date. Randomized controlled trials evaluating the effect of different neurodynamic techniques on patients with stroke will be included. The primary outcome measures will include pain, disability/function, and quality of life. Secondary outcome measures will include physical performance measures such as balance, range of motion, muscle strength, and specific diagnostic and neurodynamic test outcomes. The screening, data extraction, and methodological quality assessment will be performed by two independent reviewers. The PEDro scale will be used to systematically appraise the methodological quality. Review Manager V.5.4 software will be used for statistical analysis. Weighted mean difference or standardized mean difference with 95% CIs and P values will be used to calculate the treatment effect for each outcome variable. RESULTS: Search terms and search databases have been identified. The data extraction sheet has also been developed. This study is expected to be completed by the end of 2022. CONCLUSIONS: This study will provide up-to-date evidence on the effectiveness and use of neurodynamic interventions for patients with stroke in clinical practice. TRIAL REGISTRATION: PROSPERO CRD42022319972; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=319972. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/38956.
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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 | 0.063 | 0.089 |
| Meta-epidemiology (narrow) | 0.007 | 0.005 |
| Meta-epidemiology (broad) | 0.024 | 0.036 |
| Bibliometrics | 0.010 | 0.010 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.060 | 0.006 |
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".