Work

Current practices in modelling dose-response relationships in network meta-analyses of depression treatments: a meta-research study

Year: 2026

Type: article

Abstract: OBJECTIVES: Dose can meaningfully affect the comparative effectiveness of depression treatments, yet how network meta-analyses (NMAs) in this field handle dose is not well characterised. We conducted a meta-research study to examine how current depression NMAs incorporate dosing information and identify methodological gaps in current practice. DESIGN: Meta-research study following guidance for meta-epidemiological research and incorporating relevant elements of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020. DATA SOURCES: We searched PubMed, Embase, the Cochrane Library, PsycINFO, Web of Science and Scopus for NMAs published between January 2020 and May 2025. ELIGIBILITY CRITERIA: NMAs comparing interventions, or different doses of a single intervention, in the context of depression-where an antidepressant was evaluated for depression-related indications and/or depressive symptoms were the primary clinical focus-and in which dose variation was incorporated into the evidence synthesis. DATA EXTRACTION AND SYNTHESIS: We extracted data on dose-handling strategies, analysis methods, statistical frameworks and reporting quality, and synthesised these narratively to characterise methodological practice across studies. RESULTS: to conduct a model-based NMA for secondary analyses, primarily examining exercise interventions with varied dose-response functions. Reporting of priors, consistency assessments and justifications for dose categorisation or operationalisation was inconsistent. CONCLUSIONS: Current depression NMAs demonstrate broad variability in handling dose-related heterogeneity, with dose-response modelling often absent or inconsistently applied-particularly for behavioural interventions lacking standardised dose metrics. Greater methodological clarity, practical guidance and reporting standards are needed to integrate dose-response modelling into NMAs of depression treatments, where both pharmacologic and behavioural interventions pose distinct dosing challenges.

Source: BMJ Open

DOI: 10.1136/bmjopen-2026-119511

Authors: Katherine E Herder, Yiwen Liu, Bonnie LaFleur, Lifeng Lin

Institutions: University of Arizona, California Polytechnic State University, University of Arizona Cancer Center

Language: English

Topic: Meta-analysis and systematic reviews

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,839