Component network meta-analysis identifies the most effective components of psychological preparation for adults undergoing surgery under general anesthesia

Freeman, Suzanne C.; Scott, Norman; Powell, Rachael; Johnston, Marie; Sutton, Alex J.; Cooper, Nicola J.

doi:10.1016/j.jclinepi.2018.02.012

Cited by 50 publications

(63 citation statements)

References 36 publications

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“…We begin by explaining the general idea of what we term CNMA, according to others (Freeman et al., ; Pompoli et al., ). To this aim, we consider a hypothetical example with three active treatment components A , B , and C (see Table ).…”

Section: Methodsmentioning

confidence: 99%

“…More recently, multicomponent analyses were presented by Caldwell and Welton (), Freeman et al. (), and Pompoli et al. ().…”

Section: Introductionmentioning

confidence: 99%

“…Bayesian approaches to analyze data of this type have been suggested (Welton et al., ) and applied (Freeman et al., ; Mills et al., , ; Madan et al., ; Pompoli et al., ), also in a simulation study (Thorlund & Mills, ). A review of methods for meta‐analysis of complex health interventions is found in Tanner‐Smith and Grant ().…”

Section: Introductionmentioning

confidence: 99%

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Network meta‐analysis of multicomponent interventions

2019

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In network meta-analysis (NMA), treatments can be complex interventions, for example, some treatments may be combinations of others or of common components. In standard NMA, all existing (single or combined) treatments are different nodes in the network. However, sometimes an alternative model is of interest that utilizes the information that some treatments are combinations of common components, called component network meta-analysis (CNMA) model. The additive CNMA model assumes that the effect of a treatment combined of two components A and B is the sum of the effects of A and B, which is easily extended to treatments composed of more than two components. This implies that in comparisons equal components cancel out. Interaction CNMA models also allow interactions between the components. Bayesian analyses have been suggested. We report an implementation of CNMA models in the frequentist R package netmeta. All parameters are estimated using weighted least squares regression. We illustrate the application of CNMA models using an NMA of treatments for depression in primary care. Moreover, we show that these models can even be applied to disconnected networks, if the composite treatments in the subnetworks contain common components. K E Y W O R D S combination therapies, complex interventions, disconnected networks, multiple interventions, network meta-analysisThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Methodsmentioning

confidence: 99%

“…More recently, multicomponent analyses were presented by Caldwell and Welton (), Freeman et al. (), and Pompoli et al. ().…”

Section: Introductionmentioning

confidence: 99%

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Network meta‐analysis of multicomponent interventions

2019

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“…Results will be analysed using a network meta-analysis (NMA) (95). An NMA utilises a connected network of interventions.…”

Section: Data Synthesismentioning

confidence: 99%

Protocol for a systematic review and network meta-analysis of randomised controlled trials examining the effectiveness of early parenting interventions in preventing internalising problems in children and adolescents. 

Costantini

Paul

Caldwell

et al. 2020

Preprint

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Background: Internalising problems, such as depression and anxiety, are common and represent an important economical and societal burden. The effectiveness of parenting interventions in reducing risk of internalising problems in children and adolescents has not yet been summarised. The aims of this review are to assess the effectiveness of parenting interventions in the primary, secondary and tertiary prevention of internalising problems in children and adolescents and to determine which intervention components and which intervention aspects are most effective for reducing risk of internalising problems in children and adolescents. Methods: Electronic searches in OVID SP versions of Medline, EMBASE and PsycINFO; Cochrane Central Register of Controlled Trials; EBSCO version of ERIC and clinicaltrials.gov have been performed to identify randomised controlled trials or quasi-randomised controlled trials of parenting interventions. At least two independent researchers will assess studies for inclusion and extract data from each paper. The risk of bias assessment will be conducted independently by two reviewers using the Cochrane Collaboration’s Risk of Bias Assessment Tool. Statistical heterogeneity is anticipated given potential variation in participant characteristics, intervention type and mode of delivery, and outcome measures. Random effects models, assuming a common between-study variability, will be used to account for statistical heterogeneity. Results will be analysed using a network meta-analysis (NMA). If appropriate, we will also conduct a component-level NMA, where the ‘active ingredients’ of interventions are modelled using a network meta-regression approach.Discussion: Preventing and reducing internalising problems could have major beneficial effects at the economic and societal level. Informing policy makers on the effectiveness of parenting interventions and on which intervention’s component is driving the effect is important for the development of treatment strategies. Systematic review registration: International Prospective Register for Systematic Reviews (PROSPERO) number CRD42020172251

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“…Results will be analysed using a network meta-analysis (NMA) (103). An NMA utilises a connected network of interventions.…”

Section: Network Meta-analysismentioning

confidence: 99%

Protocol for a systematic review and network meta-analysis of randomised controlled trials examining the effectiveness of early parenting interventions in preventing internalising problems in children and adolescents.

Costantini

Paul

Caldwell

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Internalising problems, such as depression and anxiety, are common and represent an important economical and societal burden. The effectiveness of parenting interventions in reducing risk of internalising problems in children and adolescents has not yet been summarised. The aims of this review are to:1. assess the effectiveness of parenting interventions in the primary, secondary and tertiary prevention of internalising problems in children and adolescents;2. determine which intervention components and which intervention aspects are most effective for reducing risk of internalising problems in children and adolescents. Methods: Electronic searches in OVID SP versions of Medline, EMBASE and PsycINFO; Cochrane Central Register of Controlled Trials; EBSCO version of ERIC and clinicaltrials.gov have been performed to identify randomised controlled trials or quasi-randomised controlled trials of parenting interventions. At least two independent researchers will assess studies for inclusion and extract data from each paper. The risk of bias assessment will be conducted independently by two reviewers using the Cochrane Collaboration’s Risk of Bias Assessment Tool. Statistical heterogeneity is anticipated given potential variation in participant characteristics, intervention type and mode of delivery, and outcome measures. Random effects models, assuming a common between-study variability, will be used to account for statistical heterogeneity. Results will be analysed using a network meta-analysis (NMA). If appropriate, we will also conduct a component-level NMA, where the ‘active ingredients’ of interventions are modelled using a network meta-regression approach.Discussion: Preventing and reducing internalising problems could have major beneficial effects at the economic and societal level. Informing policy makers on the effectiveness of parenting interventions and on which intervention’s component is driving the effect is important for the development of treatment strategies. Systematic review registration: International Prospective Register for Systematic Reviews (PROSPERO) number CRD42020172251

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Component network meta-analysis identifies the most effective components of psychological preparation for adults undergoing surgery under general anesthesia

Cited by 50 publications

References 36 publications

Network meta‐analysis of multicomponent interventions

Network meta‐analysis of multicomponent interventions

Protocol for a systematic review and network meta-analysis of randomised controlled trials examining the effectiveness of early parenting interventions in preventing internalising problems in children and adolescents.

Protocol for a systematic review and network meta-analysis of randomised controlled trials examining the effectiveness of early parenting interventions in preventing internalising problems in children and adolescents.

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Component network meta-analysis identifies the most effective components of psychological preparation for adults undergoing surgery under general anesthesia

Cited by 50 publications

References 36 publications

Network meta‐analysis of multicomponent interventions

Network meta‐analysis of multicomponent interventions

Protocol for a systematic review and network meta-analysis of randomised controlled trials examining the effectiveness of early parenting interventions in preventing internalising problems in children and adolescents.&nbsp;

Protocol for a systematic review and network meta-analysis of randomised controlled trials examining the effectiveness of early parenting interventions in preventing internalising problems in children and adolescents.

Contact Info

Product

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Protocol for a systematic review and network meta-analysis of randomised controlled trials examining the effectiveness of early parenting interventions in preventing internalising problems in children and adolescents.