Assessing the feasibility of network meta-analyses comparing pharmacological and non-pharmacological interventions for psychiatric disorders

Session: 

Oral session: Network meta-analysis (1)

Date: 

Sunday 16 September 2018 - 12:00 to 12:10

Location: 

All authors in correct order:

Del Giovane C1, Cortese S2, Cipriani A3
1 Institute of Primary Health Care (BIHAM), University of Bern, Switzerland
2 Center for Innovation in Mental Health, Academic Unit of Psychology; Clinical and Experimental Sciences, University of Southampton, UK
3 Department of Psychiatry, University of Oxford, UK
Presenting author and contact person

Presenting author:

Cinzia Del Giovane

Contact person:

Abstract text
Background: Several network meta-analyses (NMAs) have been conducted to estimate the benefits and/or safety of pharmacological or, separately, non-pharmacological interventions for psychiatric disorders. Recently, a number of NMAs have included pharmacological and non-pharmacological interventions in the same network. The feasibility of such NMAs is questionable because the transitivity assumption (defined as the balance of the distributions of potential effect modifiers across all pairwise comparisons) underlying the methodological validity of a NMA might not hold. This is an important issue since the role of pharmacological versus non-pharmacological interventions is controversial for many psychiatric conditions.

Objectives: To assess the feasibility of currently available NMAs including pharmacological and non-pharmacological interventions for psychiatry disorders in the same network.

Methods: We searched (to January 2018) for published systematic reviews (SRs) with NMA that compared pharmacological and non-pharmacological interventions for psychiatric conditions in a single network. The protocol of any SR included in our analysis was also retrieved. Two independent researchers appraised the feasibility of each NMA critically by applying the framework recommended by Cope and colleagues (ref.).

Results: We identified eight SRs. Five NMAs were conducted in adults, the rest in children and adolescents, or children only. They focused on the following disorders: major depressive, anxiety, social anxiety, post-stroke depression, psychosis, attention deficit hyperactivity and obsessive–compulsive. Protocols were registered in PROSPERO for six SRs. We will present the results of our assessment at the Colloquium. We will also suggest specific items for NMA to be added to Cope's proposed approach.

Conclusions: The results obtained from NMAs are increasingly used to inform decision-making. Methodological assumptions underpinning the validity of a NMA should be particularly scrutinized when planning a NMA that includes pharmacological and non-pharmacological interventions in the same network, or when appraising its quality.

Ref: Cope et al. A process for assessing the feasibility of a network meta-analysis: a case study of everolimus in combination with hormonal therapy versus chemotherapy for advanced breast cancer. BMC Med 2014;12:93

Relevance to patients and consumers: 

Given concerns on adverse effects associated with medications, research on non-pharmacological treatments for mental health disorders is advocated as a priority in many patients/consumers’ statements (e.g. Jacobson et al., 2016). Network meta-analysis is a research method aimed to summarise the evidence supporting the use of treatments. Our study assessed if network meta-analyses comparing pharmacological and non-pharmacological treatments are valid from a methodological point of view. As such, our study is of paramount importance to promote high level evidence to guide the choice of treatments for mental health disorders.