Effectiveness of Pilates exercise on low back pain: a systematic review with meta-analysis
Bibliographic record
Abstract
PURPOSE: Low back pain is the most frequently reported musculoskeletal disorder and represents one of the highest patient burdens in healthcare. This systematic review and meta-analysis aimed to investigate the effectiveness of Pilates exercise on pain intensity and functional disability caused by low back pain (LBP). MATERIALS AND METHODS: A Systematic review with meta-analysis was conducted. Data sources: MEDLINE-NLM and MEDLINE-EBSCO. We also searched on Scopus Elsevier, Cochrane, DOAJ, SciELO, PEDro, and PLOS ONE databases. Eligibility criteria: randomized controlled trials (RCTs) evaluating LBP in which the primary treatment was based on Pilates exercise compared with no exercise, or non-specific exercise. RESULTS: The search returned 1566 records of which 36 articles were included in the systematic review and 19 in the meta-analysis. Twenty-two studies compared the effects of Pilates exercise vs no exercise and 13 studies examined the effects of Pilates exercise vs non-specific exercise. Analysis showed that Pilates had a positive effect on the perception of LBP vs no exercise. A similar trend occurred with non-specific exercise. CONCLUSIONS: Pilates exercise can decrease LBP compared to no exercise and non-specific exercise. General practitioners should consider Pilates exercise as an effective strategy to manage LBP and counteract the growing health. TRIAL REGISTRATION: PROSPERO registration number: CRD42022308387.IMPLICATIONS FOR REHABILITATIONPilates is a good strategy for improving low back pain and is more effective than other exercise programs or no exercise.Pilates is a safe tool to apply to most of the population with low back pain.Pilates is a non-pharmacological strategy useful for counteracting low back pain.
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How this classification was reachedexpand
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 | 0.011 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.011 | 0.005 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".