Change in Cognitive Function over the Course of Major Depressive Disorder: A Systematic Review and Meta-analysis

IF 5.4 2区 心理学 Q1 NEUROSCIENCES
Elayne Ahern, Jessica White, Eadaoin Slattery
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Abstract

Major depressive disorder (MDD) is associated with significant cognitive deficits during the acute and remitted stages. The aim of this systematic review and meta-analysis was to examine the course of cognitive function whilst considering demographic, treatment, or clinical features of MDD that could moderate the extent of cognitive change. Databases were searched to identify studies that reported on cognitive function in MDD with a ≥12-week test–retest interval. Relevant studies were pooled using random effects modelling to generate an inverse-variance, weighted, mean effect size estimate (Hedges’ g) of cognitive change for each cognitive variable and for an overall composite cognitive domain. Of 6898 records, 99 eligible studies were identified from which 69 were meta-analysed, consisting of 4639 MDD patients (agemean = 40.25 years, female% = 64.62%) across 44 cognitive variables. In over 95% of cognitive variables, improvements were either of non-significant, negligible, or of a small magnitude, and when compared to matched healthy controls, the possibility of practice effects could not be precluded. Depressive symptom improvement and the number of previous depressive episodes moderated the extent of cognitive change, demonstrating state- and scar-like features for one-quarter of the cognitive domains. Further longitudinal studies are required to elucidate the MDD cognitive trajectory from initial onset. Findings nonetheless suggest that following pharmacological and non-pharmacological treatment, cognitive change in MDD is typically small, but the capacity for change may be less with episode recurrence. Targeting cognition early in the course of illness may facilitate better prognosis and support a more complete functional recovery.

Abstract Image

重度抑郁症病程中认知功能的变化:系统回顾与元分析
重度抑郁症(MDD)在急性期和缓解期会出现明显的认知功能障碍。本系统综述和荟萃分析旨在研究认知功能的变化过程,同时考虑可能会影响认知变化程度的 MDD 人口、治疗或临床特征。我们对数据库进行了检索,以确定报告了 MDD 认知功能的研究,这些研究的测试-重复间隔≥12 周。使用随机效应模型对相关研究进行汇总,以得出每个认知变量和总体复合认知领域认知变化的反方差、加权、平均效应大小估计值(Hedges'g)。在 6898 份记录中,确定了 99 项符合条件的研究,并对其中的 69 项进行了元分析,这些研究涉及 44 个认知变量,包括 4639 名 MDD 患者(平均年龄 = 40.25 岁,女性比例 = 64.62%)。在 95% 以上的认知变量中,改善效果要么不显著,要么可以忽略不计,要么幅度较小,与匹配的健康对照组相比,不能排除实践效应的可能性。抑郁症状的改善和以前抑郁发作的次数对认知变化的程度有调节作用,四分之一的认知领域表现出状态和疤痕特征。还需要进一步的纵向研究,以阐明 MDD 从最初发病到现在的认知轨迹。尽管如此,研究结果表明,经过药物和非药物治疗后,MDD 的认知变化通常较小,但随着病情复发,其变化能力可能会减弱。在病程早期针对认知进行治疗,可能有助于改善预后并支持更全面的功能恢复。
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来源期刊
Neuropsychology Review
Neuropsychology Review 医学-神经科学
CiteScore
11.00
自引率
1.70%
发文量
36
期刊介绍: Neuropsychology Review is a quarterly, refereed publication devoted to integrative review papers on substantive content areas in neuropsychology, with particular focus on populations with endogenous or acquired conditions affecting brain and function and on translational research providing a mechanistic understanding of clinical problems. Publication of new data is not the purview of the journal. Articles are written by international specialists in the field, discussing such complex issues as distinctive functional features of central nervous system disease and injury; challenges in early diagnosis; the impact of genes and environment on function; risk factors for functional impairment; treatment efficacy of neuropsychological rehabilitation; the role of neuroimaging, neuroelectrophysiology, and other neurometric modalities in explicating function; clinical trial design; neuropsychological function and its substrates characteristic of normal development and aging; and neuropsychological dysfunction and its substrates in neurological, psychiatric, and medical conditions. The journal''s broad perspective is supported by an outstanding, multidisciplinary editorial review board guided by the aim to provide students and professionals, clinicians and researchers with scholarly articles that critically and objectively summarize and synthesize the strengths and weaknesses in the literature and propose novel hypotheses, methods of analysis, and links to other fields.
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