Evidence map›Paper›PMID 35437250›Full record

ArticleBMJ open2022

Efficacy and acceptability of next step treatment strategies in adults with treatment-resistant major depressive disorder: protocol for systematic review and network meta-analysis.

Jan Jacobus Muit, Philip F P van Eijndhoven, Andrea Cipriani, Iris Dalhuisen, Suzanne van Bronswijk, Toshi A Furukawa, Henricus G Ruhe

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Jan Jacobus MuitDepartment of Psychiatry, Radboud University Nijmegen, Nijmegen, The Netherlands bob.muit@radboudumc.nl.ORCID 0000-0002-0353-2905
Philip F P van EijndhovenDepartment of Psychiatry, Radboud University Nijmegen, Nijmegen, The Netherlands.
Andrea CiprianiDepartment of Psychiatry, University of Oxford, Oxford, UK.ORCID 0000-0001-5179-8321
Iris DalhuisenDepartment of Psychiatry, Radboud University Nijmegen, Nijmegen, The Netherlands.
Suzanne van BronswijkDepartment of Psychiatry and Psychology, Maastricht University, Maastricht, The Netherlands.
Toshi A FurukawaDepartments of Health Promotion and Human Behavior and of Clinical Epidemiology, School of Public Health, Kyoto, Japan.
Henricus G RuheDepartment of Psychiatry, Radboud University Nijmegen, Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFor major depression, a one-size-fits-all treatment does not exist. Patients enter a 'trial-and-change' algorithm in which effective therapies are subsequently applied. Unfortunately, an empirically based order of treatments has not yet been determined. There is a magnitude of different treatment strategies while clinical trials only compare a small number of these. Network meta-analyses (NMA) might offer a solution, but so far have been limited in scope and did not account for possible differences in population characteristics that arise with increasing levels of treatment-resistance, potentially violating the transitivity assumption. We; therefore, present a protocol for a systematic review and NMA aiming at summarising and ranking treatments for treatment-resistant depression (TRD) while covering a broad range of therapeutic options and accounting for possible differences in population characteristics at increasing levels of treatment-resistance. METHODS AND ANALYSIS: Randomised controlled trials will be included that compared next-step pharmacological, neuromodulation or psychological treatments for treatment-resistant depression (TRD; ie, failure to respond to ≥1 adequate antidepressant drug trial(s) in the current episode) to each other or to a control condition. Primary outcomes will be the proportion of patients who responded to (efficacy) and dropped out of (acceptability) the allocated treatment. A random effects NMA will be conducted, synthesising the evidence for each outcome and determining the differential efficacy of treatments. Heterogeneity in treatment nodes will be reduced by considering alternative geometries of the network structure and by conducting a meta-regression examining different levels of TRD. Local and global methods will be applied to evaluate consistency. The Cochrane Risk of Bias 2 tool, Confidence in Network Meta-Analysis and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework will be used to assess risk of bias and certainty. ETHICS AND DISSEMINATION: This review does not require ethical approval.

Indexed as

Depressive Disorder, Treatment-ResistantMajor Depressive DisorderAdultAntidepressive AgentsHumansNetwork Meta-Analysis as TopicRandomized Controlled Trials as TopicReview Literature as TopicAntidepressive Agentsadult psychiatryadverse eventsclinical trialsdepression & mood disorders

Identifiers

PMID35437250
PMCPMC9016400

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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.