Evidence map›Paper›PMID 35936259›Full record

ReviewFrontiers in psychology2022

Cognitive remediation for depression vulnerability: Current challenges and new directions.

Yannick Vander Zwalmen, Kristof Hoorelbeke, Eveline Liebaert, Constance Nève de Mévergnies, Ernst H W Koster

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

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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

5 authors at 1 institution in 3 countries.

Yannick Vander ZwalmenDepartment of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium.
Kristof HoorelbekeDepartment of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium.
Eveline LiebaertDepartment of Head and Skin, Ghent University Hospital, Ghent, Belgium.
Constance Nève de MévergniesDepartment of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium.
Ernst H W KosterDepartment of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium.
Ghent University Hospital · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is increasingly acknowledged that cognitive impairment can play an important role in depression vulnerability. Therefore, cognitive remediation strategies, and cognitive control training (CCT) procedures have gained attention in recent years as possible interventions for depression. Recent studies suggest a small to medium effect on indicators of depression vulnerability. Despite initial evidence for the efficacy and effectiveness of CCT, several central questions remain. In this paper we consider the key challenges for the clinical implementation of CCT, including exploration of (1) potential working mechanisms and related to this, moderators of training effects, (2) necessary conditions under which CCT could be optimally administered, such as dose requirements and training schedules, and (3) how CCT could interact with or augment existing treatments of depression. Revisiting the CCT literature, we also reflect upon the possibilities to evolve toward a stratified medicine approach, in which individual differences could be taken into account and used to optimize prevention of depression.

Indexed as

cognitive control trainingcognitive remediationdepressionprevention of depressionworking memory training

Identifiers

PMID35936259
PMCPMC9352853
OpenAlexW4286716998

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.