Evidence map›Paper›PMID 35680262›Full record

ArticleBMJ open2022

Comparing the effectiveness, safety and tolerability of interventions for depressive symptoms in people with multiple sclerosis: a systematic review and network meta-analysis protocol.

Julia Lyons, Stephanie Campese, Yvonne C Learmonth, Alexandra Metse, Allan G Kermode, Amalia Karahalios, Claudia H Marck

Open access · goldAbstract readClinical Trial Protocol
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 39% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Depression and anxiety in multiple sclerosis. Review of a fatal combination.Journal of neural transmission (Vienna, Austria : 1996) · 2024
    Review
  2. Article
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 at 3 institutions in 1 country.

Julia LyonsDisability and Health Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0002-5065-0816
Stephanie CampeseDisability and Health Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0003-1085-159X
Yvonne C LearmonthDiscipline of Exercise Science, Health Futures Institute, Murdoch University, Murdoch, Western Australia, Australia.ORCID 0000-0002-4857-8480
Alexandra MetseSchool of Psychology, University of Newcastle, Callaghan, New South Wales, Australia.ORCID 0000-0002-8641-1024
Allan G KermodePerron Institute for Neurological and Translational Science, Perth, Western Australia, Australia.ORCID 0000-0002-4476-4016
Amalia KarahaliosCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia emily.karahalios@unimelb.edu.au.ORCID 0000-0002-7497-1681
Claudia H MarckDisability and Health Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0002-3173-1522
The University of Melbourne · AUMurdoch University · AUUniversity of the Sunshine Coast · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComorbid depression is prevalent in people with multiple sclerosis (MS). Depression is commonly untreated or undertreated, thus, there is a need for effective and safe interventions and current guidelines recommend psychological and pharmaceutical interventions for people with MS. However, research suggests that other interventions, such as exercise, could also be effective. The comparative efficacy and safety of intervention modalities have not been quantified.We plan to conduct a systematic review and network meta-analysis to compare efficacy and safety of psychological, pharmaceutical, physical and magnetic stimulation interventions for depression in people with MS. METHODS AND ANALYSIS: We will search EMBASE, Medline, Cochrane CENTRAL, APA PsycINFO, Web of Science, CINAHL and PEDro from inception to 31 December 2021. Search terms will stem from three concepts: MS, depression and randomised controlled trials. Included studies will be randomised controlled trials, where participants are people with MS randomised to receive one of the aforementioned intervention types, and depression or depressive symptoms is the primary outcome, only outcome or secondary outcome with an a priori power calculation. Screening, data extraction and risk of bias assessment (using the Risk of Bias 2 tool) will be conducted independently by two reviewers. If possible, we will synthesise the evidence by fitting a frequentist network meta-analysis model with multivariate random effects, or a pairwise random-effects meta-analysis model. For each model, efficacy will be measured using a standardised mean difference, and safety using an OR. We plan to provide summary measures including forest plots, a geometry of the network, surface under the cumulative ranking curve, and a league table, and perform subgroup analyses. Otherwise, a narrative review will be provided. ETHICS AND DISSEMINATION: Ethics is not required for a systematic review and network meta-analysis. Results will be published in a peer reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42020209803.

Indexed as

DepressionMultiple SclerosisComorbidityHumansNetwork Meta-Analysis as TopicPharmaceutical PreparationsRandomized Controlled Trials as TopicSystematic Reviews as TopicPharmaceutical Preparationsdepression & mood disordersepidemiologymental healthmultiple sclerosis

Identifiers

PMID35680262
PMCPMC9185417
OpenAlexW4281731366

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.