Evidence map›Paper›PMID 42642080›Full record

ArticleBMJ open2026

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

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

Abstract read
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Katherine E HerderDepartment of Epidemiology and Biostatistics, The University of Arizona Mel and Enid Zuckerman College of Public Health, Tucson, Arizona, USA kherder@calpoly.edu lifenglin@arizona.edu.ORCID http://orcid.org/0000-0001-5699-8082
Yiwen LiuDepartment of Epidemiology and Biostatistics, The University of Arizona Mel and Enid Zuckerman College of Public Health, Tucson, Arizona, USA.
Bonnie LaFleurDepartment of Epidemiology and Biostatistics, The University of Arizona Mel and Enid Zuckerman College of Public Health, Tucson, Arizona, USA.
Lifeng LinDepartment of Epidemiology and Biostatistics, The University of Arizona Mel and Enid Zuckerman College of Public Health, Tucson, Arizona, USA kherder@calpoly.edu lifenglin@arizona.edu.ORCID http://orcid.org/0000-0002-3562-9816

Funding

VITAMIN AP30CA023074 · NCI · UNIVERSITY OF ARIZONA · PI Dan Theodorescu · 1985 to 2026
$110.2M
Regulatory and Human Study Operations (RHSO) Core CU19AG065169 · NIA · UNIVERSITY OF ARIZONA · PI STERNBERG, ESTHER M. · 2021 to 2025
$59.8M
Thymic and Peripheral Aspects of T Cell Aging and RejuvenationP01AG052359 · NIA · UNIVERSITY OF ARIZONA · PI Bonnie LaFleur · 2017 to 2026
$23.5M
Advanced Methods and Software for Trial Sequential Analysis in Living Systematic ReviewsR21LM014533 · NLM · UNIVERSITY OF ARIZONA · PI LIN, LIFENG · 2024 to 2025
$364k
Innovative Data Integration Models for Handling Evidence Inconsistency in AD/ADRD ResearchR03AG093555 · NIA · UNIVERSITY OF ARIZONA · PI LIN, LIFENG · 2025 to 2025
$301k
NCI NIH HHS P30 CA023074NIA NIH HHS P01 AG052359NIA NIH HHS R03 AG093555NIA NIH HHS U19 AG065169NLM NIH HHS R21 LM014533
6 · The paper itself

Abstract

objectivesDose 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.

designMeta-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.

resultsTwenty studies met inclusion criteria, evaluating pharmacologic interventions (n=11), non-pharmacologic interventions (n=7) or both (n=2). Dose handling varied substantially: in primary analyses, 50% treated dosages as separate nodes (split approach), 32% lumped doses together and only 15% used model-based methods incorporating dose-response relationships. Nine studies employed the R package

conclusionsCurrent 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.

Indexed as

Antidepressive AgentsDepressionDose-Response Relationship, DrugHumansNetwork Meta-Analysis as TopicAntidepressive AgentsDepression & mood disordersNetwork Meta-AnalysisSTATISTICS & RESEARCH METHODS

Identifiers

PMID42642080
PMCPMC13536052

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.