Pharmacological treatment of neuropsychiatric symptoms of dementia: a network meta-analysis protocol

Background: Neuropsychiatric symptoms (NPS) of dementia are a common issue in dementia patients which can lead to poor medical and functional outcomes. Pharmacological interventions are its treatment of choice. However, whether to use pharmacological treatments in this population and which drug should be preferred remain controversial. We therefore aimed to compare and rank pharmacological interventions for NPS according to their efficacy and acceptability profiles by quantifying information from randomized controlled trials (RCTs). Methods: We will include all RCTs reported as double-blind and comparing one active drug with another or with placebo that compare cholinesterase inhibitors (ChEIs), N-methyl-D-aspartic acid (NMDA) receptor modulators, antipsychotics, antidepressants, and mood stabilisers. Studies will be retrieved by searching electronic databases, including Cochrane Central Register of Controlled Trials, PubMed, MEDLINE, Clinicaltrial.govs, EMBASE, and with no date or language restrictions. The primary outcomes were efficacy (change in overall symptoms) and acceptability (all-cause discontinuation). The network meta-analysis (NMA) will be conducted in R software within a Bayesian framework. The quality of evidence will be evaluated using the Cochrane risk of bias tool, and the GRADE approach. We will conduct subgroup analyses to assess the robustness of our findings. Results: The results of this study will be published in a peer-reviewed journal. Conclusions: This systematic review will synthesize the available evidence on the comparative efficacy of different pharmacological approaches in the management of overall NPS, agitation, psychosis, apathy and depressive symptoms in dementia patients. The results of the present NMA will influence evidence-based treatment decisions for clinicians.