Evidence map›Paper›PMID 38387253›Full record

Trial reportSchizophrenia research2024

Trajectories and predictors of response to social cognition training in people with schizophrenia: A proof-of-concept machine learning study.

Kathleen Miley, Michael V Bronstein, Sisi Ma, Hyunkyu Lee, Michael F Green, Joseph Ventura, Christine I Hooker, Mor Nahum, Sophia Vinogradov

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Schizophrenia research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
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

9 authors.

Kathleen MileyHealthPartners Institute, Minneapolis, MN, USA; Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, MN, USA. Electronic address: mile0087@umn.edu.
Michael V BronsteinDepartment of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, MN, USA.
Sisi MaInstitute for Health Informatics, University of Minnesota, MN, USA.
Hyunkyu LeeDepartment of Research and Development, Posit Science Inc., San Francisco, CA, USA.
Michael F GreenVA Greater Los Angeles, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA.
Joseph VenturaDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA.
Christine I HookerDepartment of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA.
Mor NahumSchool of Occupational Therapy, Hebrew University of Jerusalem, Israel.
Sophia VinogradovDepartment of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, MN, USA.

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
Computerized Social Cognition training for SchizophreniaR44MH091793 · NIMH · POSIT SCIENCE CORPORATION · PI LEE, HYUN KYU · 2014 to 2016
$1.5M
NCATS NIH HHS UL1 TR002494NIMH NIH HHS R44 MH091793
6 · The paper itself

Abstract

backgroundSocial cognition training (SCT) can improve social cognition deficits in schizophrenia. However, little is known about patterns of response to SCT or individual characteristics that predict response.

methods76 adults with schizophrenia randomized to receive 8-12 weeks of remotely-delivered SCT were included in this analysis. Social cognition was measured with a composite of six assessments. Latent class growth analyses identified trajectories of social cognitive response to SCT. Random forest and logistic regression models were trained to predict membership in the trajectory group that showed improvement from baseline measures including symptoms, functioning, motivation, and cognition.

resultsFive trajectory groups were identified: Group 1 (29 %) began with slightly above average social cognition, and this ability significantly improved with SCT. Group 2 (9 %) had baseline social cognition approximately one standard deviation above the sample mean and did not improve with training. Groups 3 (18 %) and 4 (36 %) began with average to slightly below-average social cognition and showed non-significant trends toward improvement. Group 5 (8 %) began with social cognition approximately one standard deviation below the sample mean, and experienced significant deterioration in social cognition. The random forest model had the best performance, predicting Group 1 membership with an area under the curve of 0.73 (SD 0.24; 95 % CI [0.51-0.87]).

conclusionsFindings suggest that there are distinct patterns of response to SCT in schizophrenia and that those with slightly above average social cognition at baseline may be most likely to experience gains. Results may inform future research seeking to individualize SCT treatment for schizophrenia.

Indexed as

SchizophreniaAdultCognitionHumansMotivationSocial CognitionTreatment OutcomeCognitive remediationMachine learningPrecision medicinePsychosisTreatment response

Identifiers

PMID38387253
PMCPMC11005939

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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.