Evidence map›Paper›PMID 29159134›Full record

ArticleSchizophrenia research. Cognition2018

Model selection and prediction of outcomes in recent onset schizophrenia patients who undergo cognitive training.

Ian S Ramsay, Sisi Ma, Melissa Fisher, Rachel L Loewy, J Daniel Ragland, Tara Niendam, Cameron S Carter, Sophia Vinogradov

Registry-linked trialAbstract read
In one paragraph

Article in Schizophrenia research. Cognition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03962426 (Elucidating the Efficacy and Response to Social Cognitive Training), which is not on this map. Cited by 78 papers.

0numbers the graph read from it
0cells of the map it votes in
78citing 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.

NCT03962426 naunknown statusnot on this map

Elucidating the Efficacy and Response to Social Cognitive Training (SCT) in Recent Onset Psychosis (ROP)

TypeinterventionalSponsorLudwig-Maximilians - University of MunichRan2016 to 2020Enrolled66ConditionsPsychosisArmsSocialVille Social Cognitive Training
3 · Its place in the literature

Who cites it

78 citing papers in PubMed.

  1. Prediction of lithium treatment response in bipolar depression using 5-HTT and 5-HTEuropean journal of nuclear medicine and molecular imaging · 2020
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18 more citing papers are in PubMed but not listed here.

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

8 authors.

Ian S RamsayUniversity of Minnesota, Department of Psychiatry, United States.
Sisi MaUniversity of Minnesota, Department of Medicine, United States.
Melissa FisherUniversity of Minnesota, Department of Psychiatry, United States.
Rachel L LoewyUniversity of California, San Francisco, Department of Psychiatry, United States.
J Daniel RaglandUniversity of California, Davis, Department of Psychiatry, United States.
Tara NiendamUniversity of California, Davis, Department of Psychiatry, United States.
Cameron S CarterUniversity of California, Davis, Department of Psychiatry, United States.
Sophia VinogradovUniversity of Minnesota, Department of Psychiatry, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting treatment outcomes in psychiatric populations remains a challenge, but is increasingly important in the pursuit of personalized medicine. Patients with schizophrenia have deficits in cognition, and targeted cognitive training (TCT) of auditory processing and working memory has been shown to improve some of these impairments; but little is known about the baseline patient characteristics predictive of cognitive improvement. Here we use a model selection and regression approach called least absolute shrinkage and selection operator (LASSO) to examine predictors of cognitive improvement in response to TCT for patients with recent onset schizophrenia. Forty-three individuals with recent onset schizophrenia randomized to undergo TCT were assessed at baseline on measures of cognition, symptoms, functioning, illness duration, and demographic variables. We carried out 10-fold cross-validation of LASSO for model selection and regression. We followed up on these results using linear models for statistical inference. No individual variable was found to correlate with improvement in global cognition using a Pearson correlation approach, and a linear model including all variables was also found not to be significant. However, the LASSO model identified baseline global cognition, education, and gender in a model predictive of improvement on global cognition following TCT. These findings offer guidelines for personalized approaches to cognitive training for patients with schizophrenia.

Indexed as

Cognitive trainingLASSOModel selectionRegularized regressionSchizophrenia

Identifiers

PMID29159134
PMCPMC5684434

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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.