Evidence map›Paper›PMID 31710772›Full record

ArticleDepression and anxiety2020

Network analyses reveal which symptoms improve (or not) following an Internet intervention (Deprexis) for depression.

Michael C Mullarkey, Aliza T Stein, Rahel Pearson, Christopher G Beevers

Open access · greenAbstract read
In one paragraph

Article in Depression and anxiety, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 28 citations in OpenAlex.

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  8. Digital Health Applications in the Area of Mental Health.Deutsches Arzteblatt international · 2023
    Review
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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 at 1 institution in 1 country.

Michael C MullarkeyDepartment of Psychology, Institute for Mental Health Research, University of Texas at Austin, Austin, Texas.ORCID 0000-0002-2267-2532
Aliza T SteinDepartment of Psychology, Institute for Mental Health Research, University of Texas at Austin, Austin, Texas.
Rahel PearsonDepartment of Psychology, Institute for Mental Health Research, University of Texas at Austin, Austin, Texas.
Christopher G BeeversDepartment of Psychology, Institute for Mental Health Research, University of Texas at Austin, Austin, Texas.ORCID 0000-0002-4480-0902
Texas Research Institute · US

Funding

Machine Learning and Personalized Prognosis for Depression TreatmentR21MH110758 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI BEEVERS, CHRISTOPHER G · 2016 to 2017
$430k
NIMH NIH HHS R21 MH110758
6 · The paper itself

Abstract

backgroundDepression is a heterogeneous collection of symptoms. Prior meta-analyses using symptom sum scores have shown the Internet intervention, Deprexis, to be an efficacious treatment for depression. However, no prior research has investigated how Deprexis (or any other Internet intervention for depression) impacts specific symptoms of depression. The current study utilizes symptom-level analyses to examine which symptoms are directly, indirectly, or minimally influenced by treatment.

methodsNetwork analysis and mean-level approaches examined which symptoms, assessed by the Quick Inventory of Depression Symptoms, were affected by an 8-week course of Deprexis compared with a waitlist in a nationally recruited sample from the United States (N = 295).

resultsDeprexis directly improved the symptoms of sadness and indecision. Changes in these symptoms, in turn, was associated with a change in early insomnia, middle insomnia, self-dislike, fatigue, anhedonia, suicidality, slowness, and agitation. All of these symptoms (except for agitation and early insomnia) show decreases with Deprexis compared with a waitlist after correcting for multiple comparisons. Six additional symptoms, particularly the somatic symptoms, were not impacted by Deprexis compared with a waitlist.

conclusionsIn this sample, the efficacy of Deprexis was due to its direct impact on sadness and indecision. Examining the treatment-related change in specific symptoms may facilitate a more nuanced understanding of how a treatment works compared with examining symptom sum scores. Symptom-level approaches may also identify symptoms that do not improve and provide important direction for future treatment development.

Indexed as

Internet-Based InterventionAdolescentAdultAnhedoniaAnxietyCognitionDepressionDepressive DisorderFatigueFemaleHumansMaleMiddle AgedSadnessTreatment OutcomeYoung Adultdepressioninternettreatment outcome

Identifiers

PMID31710772
PMCPMC6992506
OpenAlexW2988431739

What OpenQuestion holds

Textmetadata
LicenceTDM
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.