Exercise-based cardiac rehabilitation for patients following open surgical aortic valve replacement and transcatheter aortic valve implant: a systematic review and meta-analysis
Bibliographic record
Abstract
Objectives: Exercise-based cardiac rehabilitation (CR) may be beneficial to patients following transcatheter aortic valve implantation (TAVI) and open surgical aortic valve replacement (SAVR). We aimed to undertake a systematic review and meta-analysis to evaluate the efficacy, safety and costs of exercise-based CR post-TAVI and post-SAVR. Methods: We searched numerous databases, including Embase, CENTRAL and MEDLINE, up to October 2017. We included randomised controlled trials (RCTs) and non-randomised controlled trials (non-RCTs) of exercise-based CR compared with no exercise control in TAVI or SAVR patients ≥18 years. Data extraction and risk of bias assessments were performed independently by two reviewers. Narrative synthesis and meta-analysis (where appropriate) were carried out for all relevant outcomes, and a Grading of Recommendations Assessment, Development and Evaluation (GRADE) analysis was also performed. Results: Six studies, all at low risk of bias, were included: three RCTs and three non-RCTs (total of 27 TAVI, 99 SAVR and 129 mixed patients), with follow-up of 2-12 months. There was an increase in pooled exercise capacity (standardised mean difference: 0.41, 95% CI 0.11 to 0.70; moderate certainty evidence as assessed by GRADE), with exercise-based rehabilitation compared with control. Data on other outcomes including quality of life and clinical events were limited. Conclusions: Exercise-based CR probably improves exercise capacity of post-TAVI and post-SAVR patients in the short term. Well conducted multicentre fully powered RCTs of ≥12 months follow-up are needed to fully assess the clinical and cost-effectiveness of exercise-based CR in this patient population. PROSPERO Protocol Registration Number: CRD42017084716.
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.
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 | 0.011 | 0.029 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.018 | 0.035 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 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".