What are the effects of acute exercise and exercise training on cerebrovascular hemodynamics following stroke? A systematic review and meta-analysis
Bibliographic record
Abstract
Limited data exist regarding the effects of acute exercise and exercise training on cerebrovascular hemodynamic variables after stroke. This systematic review and meta-analysis 1) examined the effects of acute exercise and exercise training on cerebrovascular hemodynamic variables reported in the stroke exercise literature and 2) synthesized the peak middle cerebral artery blood velocity (MCAv) achieved during an acute bout of moderate-intensity exercise in individuals after stroke. Six databases (Medline, Embase, Web of Science, CINAHL, PsycINFO, AMED) were searched from inception to December 1st, 2021 for studies that examined the effect of acute exercise or exercise training on cerebrovascular hemodynamics in adults after stroke. Two reviewers conducted title and abstract screening, full-text evaluation, data extraction, and quality appraisal. Random-effects models were used in meta-analysis. Nine studies, including four acute exercise ( n = 61) and five exercise training studies ( n = 193), were included. Meta-analyses were not statistically feasible for several cerebrovascular hemodynamic variables. Descriptive analysis reveals that exercise training may increase cerebral blood flow and cerebrovascular reactivity to carbon dioxide among individuals after stroke. Meta-analysis of three acute exercise studies revealed no significant changes in MCAv during acute moderate-intensity exercise [ n = 48 participants, mean difference = 5.2 cm/s, 95% confidence interval (CI) [−0.6, 11.0], P = 0.08] compared with resting MCAv values. This review suggests that individuals after stroke may have attenuated cerebrovascular hemodynamics as measured by the MCAv during acute moderate-intensity exercise. Aerobic exercise training is beneficial for improving cardiovascular health and function after stroke; higher-quality research utilizing agreed-upon hemodynamic variables is needed to synthesize the effects of exercise training on poststroke cerebrovascular hemodynamics.
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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 | 0.023 | 0.056 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.026 | 0.042 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".