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Journal ArticleDOI

Deficits in Domains of Social Cognition in Schizophrenia: A Meta-Analysis of the Empirical Evidence

TL;DR: The evidence for deficits across multiple social cognitive domains in schizophrenia is clear and the role of neurobiological and psychosocial factors in models linking various aspects of deficit in schizophrenia, including social cognition, should be examined.
Abstract: Objective: Social cognition is strongly associated with functional outcome in schizophrenia, making it an important target for treatment. Our goal was to examine the average magnitude of differences between schizophrenia patients (SCs) and normal comparison (NCs) patients across multiple domains of social cognition recognized by the recent NIMH consensus statement: theory of mind (ToM), social perception, social knowledge, attributional bias, emotion perception, and emotion processing. Method: We conducted a meta-analysis of peer-reviewed studies of social cognition in schizophrenia, published between 1980 and November, 2011. Results: 112 studies reporting results from 3908 SCs and 3570 NCs met our inclusion criteria. SCs performed worse than NCs across all domains, with large effects for social perception (g = 1.04), ToM (g = 0.96), emotion perception (g = 0.89), and emotion processing (g = 0.88). Regression analyses showed that statistically significant heterogeneity in effects within domains was not explained by age, education, or gender. Greater deficits in social and emotion perception were associated with inpatient status, and greater deficits in emotion processing were associated with longer illness duration. Conclusions: Despite the limitations of existing studies, including lack of standardization or psychometric validation of measures, the evidence for deficits across multiple social cognitive domains in schizophrenia is clear. Future research should examine the role of neurobiological and psychosocial factors in models linking various aspects of deficit in schizophrenia, including social cognition, in order to identify targets for intervention.

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Citations
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Journal ArticleDOI
TL;DR: Empirical empathy is considered as an example of a complex social cognitive function that integrates several social processes and is impaired in schizophrenia, and interventions to improve social cognition in patients with this disorder are considered.
Abstract: Individuals with schizophrenia exhibit impaired social cognition, which manifests as difficulties in identifying emotions, feeing connected to others, inferring people's thoughts and reacting emotionally to others. These social cognitive impairments interfere with social connections and are strong determinants of the degree of impaired daily functioning in such individuals. Here, we review recent findings from the fields of social cognition and social neuroscience and identify the social processes that are impaired in schizophrenia. We also consider empathy as an example of a complex social cognitive function that integrates several social processes and is impaired in schizophrenia. This information may guide interventions to improve social cognition in patients with this disorder.

982 citations

Journal ArticleDOI
TL;DR: The paper reviews the considerable efforts that have been directed to improve cognitive impairments in schizophrenia through novel psychopharmacology, cognitive remediation, social cognitive training, and alternative approaches, and considers areas that are emerging and have the potential to provide future insights.

294 citations

Journal ArticleDOI
TL;DR: It is concluded that MCT appears to be a worthwhile complement to pharmacotherapy, as the preliminary data suggest that the individual MCT format is especially effective in addressing symptoms, cognitive biases and insight.

267 citations

Journal ArticleDOI
TL;DR: This meta-analysis demonstrates that MCT exerts a small to moderate effect on delusions and positive symptoms and a large effect on acceptance of the intervention.
Abstract: Metacognitive training (MCT) is a new, widely used intervention for psychosis. The present meta-analysis examines the efficacy of MCT in schizophrenia. Fifteen studies comparing effects of MCT on positive symptoms, delusions or acceptance of MCT with a control group were included in this meta-analysis. These studies comprised a total of 408 patients in the MCT condition and 399 in the control condition. The moderating effects of masking of outcome assessment, randomization, incomplete outcome data, use of an active control intervention, and individual vs group MCT were investigated. Possible effects of sensitivity analyses and publication bias were also examined. The results show a significant overall effect of MCT for positive symptoms (g = -0.34, 95% CI [-0.53, -0.15]), delusions (g = -0.41, 95% CI [-0.74, -0.07]) and acceptance of the intervention (g = -0.84, 95% CI [-1.37, -0.31]). Using only studies being at low risk for bias regarding randomization, masking and incomplete outcome data reduced effect sizes for positive symptoms and delusions (g = -0.28, 95% CI [-0.50, -0.06] and g = -0.18, 95% CI [-0.43, 0.06]), respectively. This meta-analysis demonstrates that MCT exerts a small to moderate effect on delusions and positive symptoms and a large effect on acceptance of the intervention. The effect on delusions is reduced, but remains significant when potential biases are considered.

197 citations

Journal ArticleDOI
TL;DR: The results suggest that social cognitive deficits appear to be a core cognitive phenotype of many clinical conditions and a need to clarify the ‘real world’ impact of these deficits, and to develop effective transdiagnostic interventions for those individuals that are adversely affected.

193 citations


Cites background from "Deficits in Domains of Social Cogni..."

  • ...Subsequently, deficits in both emotion recognition and ToM have been identified as core cognitive deficits in schizophrenia (Savla et al., 2013; Kohler et al., 2010), and have been reported to be among the strongest predictors of impaired social functioning in this population (Fett et al....

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  • ...Subsequently, deficits in both emotion recognition and ToM have been identified as core cognitive deficits in schizophrenia (Savla et al., 2013; Kohler et al., 2010), and have been reported to be among the strongest predictors of impaired social functioning in this population (Fett et al., 2011;…...

    [...]

References
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Book
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TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
Abstract: Contents: Prefaces. The Concepts of Power Analysis. The t-Test for Means. The Significance of a Product Moment rs (subscript s). Differences Between Correlation Coefficients. The Test That a Proportion is .50 and the Sign Test. Differences Between Proportions. Chi-Square Tests for Goodness of Fit and Contingency Tables. The Analysis of Variance and Covariance. Multiple Regression and Correlation Analysis. Set Correlation and Multivariate Methods. Some Issues in Power Analysis. Computational Procedures.

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TL;DR: Moher et al. as mentioned in this paper introduce PRISMA, an update of the QUOROM guidelines for reporting systematic reviews and meta-analyses, which is used in this paper.
Abstract: David Moher and colleagues introduce PRISMA, an update of the QUOROM guidelines for reporting systematic reviews and meta-analyses

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Journal ArticleDOI
TL;DR: A structured summary is provided including, as applicable, background, objectives, data sources, study eligibility criteria, participants, interventions, study appraisal and synthesis methods, results, limitations, conclusions and implications of key findings.

31,379 citations

Journal ArticleDOI
TL;DR: It is concluded that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity, and one or both should be presented in publishedMeta-an analyses in preference to the test for heterogeneity.
Abstract: The extent of heterogeneity in a meta-analysis partly determines the difficulty in drawing overall conclusions. This extent may be measured by estimating a between-study variance, but interpretation is then specific to a particular treatment effect metric. A test for the existence of heterogeneity exists, but depends on the number of studies in the meta-analysis. We develop measures of the impact of heterogeneity on a meta-analysis, from mathematical criteria, that are independent of the number of studies and the treatment effect metric. We derive and propose three suitable statistics: H is the square root of the chi2 heterogeneity statistic divided by its degrees of freedom; R is the ratio of the standard error of the underlying mean from a random effects meta-analysis to the standard error of a fixed effect meta-analytic estimate, and I2 is a transformation of (H) that describes the proportion of total variation in study estimates that is due to heterogeneity. We discuss interpretation, interval estimates and other properties of these measures and examine them in five example data sets showing different amounts of heterogeneity. We conclude that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity. One or both should be presented in published meta-analyses in preference to the test for heterogeneity.

25,460 citations

Book
01 Jan 1985
TL;DR: In this article, the authors present a model for estimating the effect size from a series of experiments using a fixed effect model and a general linear model, and combine these two models to estimate the effect magnitude.
Abstract: Preface. Introduction. Data Sets. Tests of Statistical Significance of Combined Results. Vote-Counting Methods. Estimation of a Single Effect Size: Parametric and Nonparametric Methods. Parametric Estimation of Effect Size from a Series of Experiments. Fitting Parametric Fixed Effect Models to Effect Sizes: Categorical Methods. Fitting Parametric Fixed Effect Models to Effect Sizes: General Linear Models. Random Effects Models for Effect Sizes. Multivariate Models for Effect Sizes. Combining Estimates of Correlation Coefficients. Diagnostic Procedures for Research Synthesis Models. Clustering Estimates of Effect Magnitude. Estimation of Effect Size When Not All Study Outcomes Are Observed. Meta-Analysis in the Physical and Biological Sciences. Appendix. References. Index.

9,769 citations