Evidence map›Paper›PMID 32052837›Full record

SynthesisSchizophrenia bulletin2020

Compensatory Interventions for Cognitive Impairments in Psychosis: A Systematic Review and Meta-Analysis.

Kelly Allott, Kristi van-der-El, Shayden Bryce, Emma M Parrish, Susan R McGurk, Sarah Hetrick, Christopher R Bowie, Sean Kidd, Matthew Hamilton, Eoin Killackey and 1 more

Registry-linked trialOpen access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Schizophrenia bulletin, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06790186 (Improving Real-world Function for Persons with Schizophrenia), which is not on this map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
3.1field-weighted citation impact, top 8% 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.

NCT06790186 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

Improving Real-world Function for Persons with Schizophrenia (ImproFunc): a Single-case Experimental Design

TypeinterventionalSponsorSykehuset Innlandet HFRan2025 to 2031Enrolled27ConditionsSchizophreniaArmsPerceive, Recall, Plan and Perform intervention Interventions:
3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 60 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

11 authors at 7 institutions in 4 countries.

Kelly AllottOrygen, Parkville, Australia.
Kristi van-der-ElOrygen, Parkville, Australia.
Shayden BryceOrygen, Parkville, Australia.
Emma M ParrishSan Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego State University, San Diego, CA.
Susan R McGurkDepartment of Occupational Therapy, Center for Psychiatric Rehabilitation, Boston University, Boston, MA.
Sarah HetrickOrygen, Parkville, Australia.
Christopher R BowieDepartment of Psychology, Queen's University, Kingston, Ontario, ON, Canada.
Sean KiddDepartment of Psychiatry, University of Toronto, Toronto, Ontario, ON, Canada.
Matthew HamiltonOrygen, Parkville, Australia.
Eoin KillackeyOrygen, Parkville, Australia.
Dawn VelliganDepartment of Psychiatry, University of Texas Health Science Centre, San Antonio, TX.
Orygen · AUUniversity of Melbourne · AUBoston University · USQueen's University · CAThe University of Texas Health Science Center at San Antonio · USUniversity of California, San Diego · USUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCognitive compensatory interventions aim to alleviate psychosocial disability by targeting functioning directly using aids and strategies, thereby minimizing the impact of cognitive impairment. The aim was to conduct a systematic review and meta-analysis of cognitive compensatory interventions for psychosis by examining the effects on functioning and symptoms, and exploring whether intervention factors, study design, and age influenced effect sizes.

methodsElectronic databases (Ovid Medline, PsychINFO) were searched up to October 2018. Records obtained through electronic and manual searches were screened independently by two reviewers according to selection criteria. Data were extracted to calculate estimated effects (Hedge's g) of treatment on functioning and symptoms at post-intervention and follow-up. Study quality was assessed using Cochrane Collaboration's risk of bias tool.

resultsTwenty-six studies, from 25 independent randomized controlled trials (RCTs) were included in the meta-analysis (1654 participants, mean age = 38.9 years, 64% male). Meta-analysis revealed a medium effect of compensatory interventions on functioning compared to control conditions (Hedge's g = 0.46, 95% CI = 0.33, 0.60, P < .001), with evidence of relative durability at follow-up (Hedge's g = 0.36, 95% CI = 0.19, 0.54, P < .001). Analysis also revealed small significant effects of cognitive compensatory treatment on negative, positive, and general psychiatric symptoms, but not depressive symptoms. Estimated effects did not significantly vary according to treatment factors (ie, compensatory approach, dosage), delivery method (ie, individual/group), age, or risk of bias. Longer treatment length was associated with larger effect sizes for functioning outcomes. No evidence of publication bias was identified.

conclusionCognitive compensatory interventions are associated with robust, durable improvements in functioning in people with psychotic illnesses.

Indexed as

Cognitive RemediationAdultCognitive DysfunctionFemaleHumansMaleOutcome Assessment, Health CarePsychotic DisordersSchizophreniaenvironmental modificationerrorless learningexternal strategiesfunctional outcomeinternal self-managementschizophreniasevere mental illness

Identifiers

PMID32052837
PMCPMC7345816
OpenAlexW3006666584

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.