Evidence map›Paper›PMID 33770627›Full record

ArticleSchizophrenia research2021

Predicting response to cognitive training for schizophrenia using results from two studies with different outcomes.

Alice M Saperstein, C Jean Choi, Carol Jahshan, David A Lynch, Melanie Wall, Michael F Green, Alice Medalia

Abstract read
In one paragraph

Article in Schizophrenia research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

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

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

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

7 authors.

Alice M SapersteinDepartment of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons 1051 Riverside Drive, New York, NY 10032, United States. Electronic address: alice.saperstein@nyspi.columbia.edu.
C Jean ChoiMental Health Data Science, New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY 10032, United States. Electronic address: jean.choi@nyspi.columbia.edu.
Carol JahshanVA Greater Los Angeles Healthcare System, Bldg 210A, 11301 Wilshire Blvd, Los Angeles, CA 90073, United States; UCLA Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, United States. Electronic address: carol.jahshan@ucla.edu.
David A LynchDepartment of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons 1051 Riverside Drive, New York, NY 10032, United States. Electronic address: dal2151@cumc.columbia.edu.
Melanie WallDepartment of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons 1051 Riverside Drive, New York, NY 10032, United States; Mental Health Data Science, New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY 10032, United States. Electronic address: mmw2177@cumc.columbia.edu.
Michael F GreenVA Greater Los Angeles Healthcare System, Bldg 210A, 11301 Wilshire Blvd, Los Angeles, CA 90073, United States; UCLA Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, United States. Electronic address: mgreen@ucla.edu.
Alice MedaliaNew York State Psychiatric Institute, Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, and New York-Presbyterian, 1051 Riverside Drive, New York, NY 10032, United States. Electronic address: am2938@cumc.columbia.edu.

Funding

Using mHealth to optimize pharmacotherapy regimensP50MH115843 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI Neil Krishan Aggarwal · 2018 to 2026
$12.7M
NIMH NIH HHS P50 MH115843
6 · The paper itself

Abstract

backgroundCollaborative data sharing between research groups provides an opportunity to explore the basis for the heterogeneity in cognitive training outcomes reported in the schizophrenia literature. The current analyses focused on the contribution of site and participant characteristics to these heterogeneous outcomes.

methodsData from two independent studies, from New York (NY) and Los Angeles (LA), were combined to yield a sample of 132 outpatient adults with schizophrenia/schizoaffective disorder. While similar treatment doses, cognitive exercises and outcome measures were used, sites differed in use of coaching, group discussion and compensation. Between-site differences in participant demographic and baseline clinical characteristics were tested. Regression examined predictors of change in cognition (MCCB) and functional capacity (UPSA) which could explain site differences in treatment effects.

resultsMedium to large treatment effect size differences in MCCB and UPSA favored the NY site over LA. When the studies were combined, the effect of site was significant for both outcomes with a medium effect size difference. After controlling for background characteristics, the effect of site was reduced for both outcomes, but remained significant for cognition. Improvement in UPSA was associated with better baseline MCCB (p < 0.001), lower baseline UPSA (p < 0.001) and younger age (p = 0.019). The overall model with site, baseline scores, and participant background characteristics explained about 30% to 40% of the variance in outcomes. DISCUSSION: Participant and treatment characteristics are both predictive of outcomes, but treatment characteristics may be more consequential to cognitive gain, while participant characteristics may be more consequential to change in functional capacity.

Indexed as

SchizophreniaAdultCognitionHumansNeuropsychological TestsNew YorkSchizophrenic PsychologyCognitive remediationCognitive trainingFunctional capacityNeurocognitionSchizophrenia

Identifiers

PMID33770627
PMCPMC8222143

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.