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NICOLA VERONESE

Efficacy and acceptability of pharmacological and non-pharmacological interventions for non-specific chronic low back pain: A protocol for a systematic review and network meta-analysis

  • Autori: Thompson, T.; Dias, S.; Poulter, D.; Weldon, S.; Marsh, L.; Rossato, C.; Shin, J.I.; Firth, J.; Veronese, N.; Dragioti, E.; Stubbs, B.; Solmi, M.; Maher, C.G.; Cipriani, A.; Ioannidis, J.P.A.
  • Anno di pubblicazione: 2020
  • Tipologia: Articolo in rivista
  • OA Link: http://hdl.handle.net/10447/455313

Abstract

Background: Despite the enormous financial and humanistic burden of chronic low back pain (CLBP), there is little consensus on what constitutes the best treatment options from a multitude of competing interventions. The objective of this network meta-analysis (NMA) is to determine the relative efficacy and acceptability of primary care treatments for non-specific CLBP, with the overarching aim of providing a comprehensive evidence base for informing treatment decisions. Methods: We will perform a systematic search to identify randomised controlled trials of interventions endorsed in primary care guidelines for the treatment of non-specific CLBP in adults. Information sources searched will include major bibliographic databases (MEDLINE, Embase, CENTRAL, CINAHL, PsycINFO and LILACS) and clinical trial registries. Our primary outcomes will be patient-reported pain ratings and treatment acceptability (all-cause discontinuation), and secondary outcomes will be functional ability, quality of life and patient/physician ratings of overall improvement. A hierarchical Bayesian class-based NMA will be performed to determine the relative effects of different classes of pharmacological (NSAIDs, opioids, paracetamol, anti-depressants, muscle relaxants) and non-pharmacological (exercise, patient education, manual therapies, psychological therapy, multidisciplinary approaches, massage, acupuncture, mindfulness) interventions and individual treatments within a class (e.g. NSAIDs: Diclofenac, ibuprofen, naproxen). We will conduct risk of bias assessments and threshold analysis to assess the robustness of the findings to potential bias. We will compute the effect of different interventions relative to placebo/no treatment for both short- A nd long-term efficacy and acceptability. Discussion: While many factors are important in selecting an appropriate intervention for an individual patient, evidence for the analgesic effects and acceptability of a treatment are key factors in guiding this selection. Thus, this NMA will provide an important source of evidence to inform treatment decisions and future clinical guidelines. Systematic review registration: PROSPERO registry number: CRD42019138115 © 2020 The Author(s).