Pregabalin administration in patients with fibromyalgia: a Bayesian network meta-analysis.
Migliorini FilippoNicola MaffulliMatthias KnobeGiacomo TenzeAli AljalloudGiorgia ColarossiPublished in: Scientific reports (2022)
Several studies investigated the effectiveness and the safety of different doses of pregabalin in fibromyalgia. However, the optimal protocol remains controversial. A Bayesian network meta-analysis comparing 300, 450, and 600 mg/daily of pregabalin for fibromyalgia was conducted. The literature search was conducted in January 2022. All the double-blind randomised clinical trials comparing two or more dose protocols of pregabalin for fibromyalgia were accessed. Studies enrolling less than 50 patients were not eligible, nor were those with a length of follow-up shorter than eight weeks. The outcomes of interests were: Fibromyalgia Impact Questionnaire (FIQ), sleep quality, and adverse events. The network meta-analyses were performed using the routine for Bayesian hierarchical random-effects model analysis, with log odd ratio (LOR) and standardized mean difference (SMD) effect measure. Data from 4693 patients (mean age 48.5 years) were retrieved. 93.1% (4370 of 4693 patients) were women. The median follow-up was 14.8 weeks. Pregabalin 450 mg/daily resulted in greater reduction in Fibromyalgia Impact Questionnaire (SMD - 1.83). Pregabalin 600 demonstrated the greatest sleep quality (SMD 0.15). Pregabalin 300 mg/daily evidenced the lowest rate of adverse events (LOR 0.12). The dose of pregabalin must be customised according to patients' characteristics and main symptoms.
Keyphrases
- systematic review
- clinical trial
- sleep quality
- end stage renal disease
- ejection fraction
- newly diagnosed
- neuropathic pain
- prognostic factors
- randomized controlled trial
- meta analyses
- postoperative pain
- double blind
- type diabetes
- depressive symptoms
- adipose tissue
- pregnant women
- case control
- metabolic syndrome
- high resolution
- pregnancy outcomes
- cross sectional
- deep learning
- electronic health record
- preterm birth
- gestational age