Effectiveness of multicomponent treatment in patients with fibromyalgia: protocol for a systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: The purpose of this protocol is to provide a new systematic review with meta-analysis using the current methodology to compare the effectiveness of multicomponent treatment versus other interventions for patients with fibromyalgia. METHODS: This protocol conforms to the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) and the recommendations of the Cochrane Collaboration Handbook. An electronic search will be conducted in MEDLINE, EMBASE, Web of Science, Cochrane CENTRAL, LILACS, CINAHL, and PEDro, from inception until April 2022. There will be no language restrictions. The Cochrane Collaboration tool for assessing the risk of bias (RoB2) will be used. The Grading of Recommendations, Assessment, Development and Evaluation (GRADE) scale will be used to evaluate the strength of the evidence. The Hartung-Knapp-Sidik-Jonkman random effects or Mantel-Haenszel fixed effects methods will be used, depending on the heterogeneity, to compute a pooled estimate of the mean difference (MD) or standardized mean difference (SMD) and respective 95% confidence intervals for clinical outcomes. DISCUSSION: This systematic review will synthesize evidence on the effectiveness of multicomponent treatment in patients with fibromyalgia and could add important evidence in the treatment of FM to improve clinical practice and decision-making/actions in this field. This new systematic review will try to show the effects of multicomponent treatment by type (endurance, resistance, stretching, or mind-body exercises [pilates or taichi]) and intensity (light, moderate, moderate-to-vigorous, vigorous) of exercise in patients with FM. The results will be disseminated by publication in a peer-reviewed journal. Ethics approval will not be needed because the data used for this systematic review will be obtained from individual trials and there will be no concerns about privacy. However, if we identify ethical issues during the development of the systematic review, these findings will be reported in the discussion of the study. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42020142082.
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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 | 0.082 | 0.148 |
| Meta-epidemiology (narrow) | 0.008 | 0.005 |
| Meta-epidemiology (broad) | 0.020 | 0.032 |
| Bibliometrics | 0.010 | 0.009 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.010 | 0.010 |
| Insufficient payload (model declined to judge) | 0.065 | 0.008 |
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".