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

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.

Authors

Institutions

Publication Details

Journal
PubMed
Published
2026-08-25
DOI
https://doi.org/10.1136/bmjopen-2026-119511
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Katherine E. Herder, Bonnie LaFleur, Lifeng Lin, Yiwen Liu
PubMed
Mental Health Research Topics
article

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

Katherine E. Herder, Bonnie LaFleur, Lifeng Lin, Yiwen Liu
article en

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.

PubMedVol. 16(8)
University of Arizona (US), California Polytechnic State University (US), University of Arizona Cancer Center
Openalex Percentile: Top 6%
Mental Health Research Topics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.