Efficacy of interventions to improve physical activity levels in individuals with stroke: a systematic review protocol
Bibliographic record
Abstract
INTRODUCTION: Stroke is a leading health problem worldwide and an important cause of disability. Stroke survivors show low levels of physical activity, and increases in physical activity levels may improve function and health status. Therefore, the aims are to identify which interventions that have been employed to increase physical activity levels with stroke survivors, to verify their efficacy and to identify the gaps in the literature. METHODS AND ANALYSIS: A systematic review of randomised controlled trials that investigated the efficacy of interventions aiming at increasing physical activity levels of stroke survivors will be conducted. Electronic searches will be performed in the MEDLINE, Physiotherapy Evidence Database (PEDro), Excerpta Medica (EMBASE), Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS) and Scientific Electronic Library Online (SCIELO) databases. Hand searches of the reference lists of the included studies or relevant reviews will also be employed. Two independent reviewers will screen all the retrieved titles, abstracts and full texts. A third reviewer will be referred to solve any disagreements. The quality of the included studies will be assessed by the PEDro Rating Scale. This systematic review will also include a qualitative synthesis. Meta-analyses will be performed, if the studies are sufficiently homogeneous. This review will follow the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) statement. The quality of the evidence regarding physical activity will be assessed, according to the Grading of Recommendations Assessment, Development and Evaluation (GRADE). DISCUSSION: This systematic review will provide information on which interventions are effective for increasing physical activity levels of stroke survivors. This evidence may be important for clinical decision-making and will allow the identification of gaps in the literature that may be useful for the definition of future research goals and the planning of new trials. TRIAL REGISTRATION NUMBER: CRD42016037750.
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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 | 0.080 | 0.064 |
| Meta-epidemiology (narrow) | 0.007 | 0.006 |
| Meta-epidemiology (broad) | 0.019 | 0.019 |
| Bibliometrics | 0.012 | 0.012 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.008 | 0.007 |
| Insufficient payload (model declined to judge) | 0.070 | 0.011 |
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".