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Depression networks: a systematic review of the network paradigm causal assumptions

Published online by Cambridge University Press:  17 March 2023

Debbie Huang*
Affiliation:
Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
Ezra Susser
Affiliation:
Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA New York State Psychiatric Institute, New York, New York, United States of America
Kara E. Rudolph
Affiliation:
Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
Katherine M. Keyes
Affiliation:
Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
*
Author for correspondence: Debbie Huang, E-mail: debbiehuang@hsph.harvard.edu

Abstract

The network paradigm for psychiatric disorder nosology was proposed based on the hypothesis that mental disorders are caused by networks of symptoms that are themselves causally related. Researchers have widely applied and integrated this paradigm to examine a variety of mental disorders, particularly depression. Existing studies generally focus on the correlation structure of symptoms, inferring causal relationships. Thus, presumption of causality may not be justified. The goal of this review was to examine the assumptions necessary for causal inference in network studies of depression. Specifically, we examined whether and how network studies address common violations of causal assumptions (i.e. no measurement error, exchangeability, and positivity). Of the 41 studies reviewed, five (12%) studies discussed sources of confounding unrelated to measurement error; none discussed positivity; and five conducted post-hoc analysis for measurement error. Depression network studies, in principle, are conducted under the assumption that symptom relationships are causal. Yet, in practice, studies seldomly discussed or adequately tested assumptions required to infer causality. Researchers continue to design studies that are unable to support the credibility of the network paradigm for the study of depression. There is a critical need to ensure scientific efforts cease to perpetuate problematic designs and findings to a potentially unsubstantiated paradigm.

Type
Review Article
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

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