Evidence map›Paper›PMID 32319092›Full record

Trial reportJournal of clinical psychology2020

An examination of dysfunctional attitudes and extreme response styles as predictors of relapse in guided internet-based cognitive behavioral therapy for depression.

Iony D Ezawa, Nicholas R Forand, Daniel R Strunk

Abstract readClinical Trial
In one paragraph

Trial report in Journal of clinical psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

3 authors.

Iony D EzawaDepartment of Psychology, The Ohio State University, Columbus, Ohio.ORCID 0000-0002-9289-3568
Nicholas R ForandDepartment of Psychology, The Ohio State University, Columbus, Ohio.
Daniel R StrunkDepartment of Psychology, The Ohio State University, Columbus, Ohio.ORCID 0000-0002-7444-0741

Funding

The Ohio State University Center for Clinical and Translational ScienceKL2TR001068 · NCATS · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2013 to 2017
$2.7M
NCATS NIH HHS KL2 TR001068
6 · The paper itself

Abstract

objectivesInternet-based cognitive behavioral therapy (iCBT) is an effective treatment option for depression, but its long-term effects are not well understood. We investigate for whom iCBT may have more enduring effects by evaluating dysfunctional attitudes as predictors of relapse.

methodsThe sample consists of 31 iCBT responders (20 women, average age 31.6) who were followed for 1 year.

resultsHigher Dysfunctional Attitudes Scale scores predicted higher risk of relapse (hazard ratio = 1.98). This relation remained significant when controlling for high style (dysfunctional) or content (functional) responses. Having relatively more positive extreme responses on style rather than content items did not predict risk of relapse.

conclusionsOur results were consistent with the value of differentiating an extreme style of responding from otherwise endorsing belief in dysfunctional attitudes. Research that refines our understanding of patients' individual risk for relapse has the potential to inform how treatment might be individually tailored.

Indexed as

AttitudeInternetAdultCognitive Behavioral TherapyDepressionFemaleHumansMaleMiddle AgedRecurrenceTreatment Outcomedepressiondysfunctional attitudesinternet-based cognitive behavioral therapyrelapse

Identifiers

PMID32319092
PMCPMC7319255

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.