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Journal ArticleDOI

Prevalence of Depression in Patients With Mild Cognitive Impairment: A Systematic Review and Meta-analysis.

TLDR
The method used to diagnose depression did not significantly influence the prevalence estimate, nor did the criteria used for MCI diagnosis or MCI subtype, and a contributor to heterogeneity in the reported literature is the source of the sample, with greater depression burden prevalent in clinic-based samples.
Abstract
Importance Depression is common in individuals with mild cognitive impairment (MCI) and may confer a higher likelihood of progression to dementia. Prevalence estimates of depression in those with MCI are required to guide both clinical decisions and public health policy, but published results are variable and lack precision. Objective To provide a precise estimate of the prevalence of depression in individuals with MCI and identify reasons for heterogeneity in the reported results. Data sources A search of literature from database inception to March 2016 was performed using Medline, Embase, and PsycINFO. Hand searching of all included articles was performed, including a Google Scholar search of citations of included articles. Study selection Articles were included if they (1) were published in English, (2) reported patients with MCI as a primary study group, (3) reported depression or depressive symptoms using a validated instrument, and (4) reported the prevalence of depression in patients with MCI. Data extraction and synthesis All abstracts, full-text articles, and other sources were reviewed, with data extracted in duplicate. The overall prevalence of depression in patients with MCI was pooled using a random-effects model. Heterogeneity was explored using stratification and random-effects meta-regression. Main outcomes and measures The prevalence of depression in patients with MCI, reported as a percentage with 95% CIs. Estimates were also stratified by population source (community-based or clinic-based sample), method of depression diagnosis (clinician-administered, informant-based, or self-report), and method of MCI diagnosis (cognitive vs global measure and amnestic vs nonamnestic). Results Of 5687 unique abstracts, 255 were selected for full-text review, and 57 studies, representing 20 892 patients, met all inclusion criteria. The overall pooled prevalence of depression in patients with MCI was 32% (95% CI, 27-37), with significant heterogeneity between estimates (I2 = 90.7%). When stratified by source, the prevalence of depression in patients with MCI in community-based samples was 25% (95% CI, 19-30) and was 40% (95% CI, 32-48) in clinic-based samples, which was significantly different (P Conclusions and relevance The prevalence of depression in patients with MCI is high. A contributor to heterogeneity in the reported literature is the source of the sample, with greater depression burden prevalent in clinic-based samples.

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Citations
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Journal ArticleDOI

Prevalence of depression and depressive symptoms among outpatients: a systematic review and meta-analysis

TL;DR: Evidence is provided that a significant proportion of outpat patients experience depression or depressive symptoms, highlighting the importance of developing effective management strategies for the early identification and treatment of these conditions among outpatients in clinical practice.
Journal ArticleDOI

Bifidobacterium with the role of 5-hydroxytryptophan synthesis regulation alleviates the symptom of depression and related microbiota dysbiosis.

TL;DR: Results indicate that Bifidobacterium E41 and M2CF22M7 have an antidepressant effect in mice partly in a 5-HTP dependent and microbiota-regulating manner, and Nurturing the gut microbiota with these strains may become an emerging therapeutic way for mood disorder.
Journal ArticleDOI

Arcsine-based transformations for meta-analysis of proportions: Pros, cons, and alternatives

TL;DR: The pros and cons of arcsine‐based transformations are explained, the alternatives that may be generally superior to the currently popular practice are discussed, and generalized linear mixed models and Bayesian models are discussed.
References
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Journal ArticleDOI

The CES-D Scale: A Self-Report Depression Scale for Research in the General Population

TL;DR: The CES-D scale as discussed by the authors is a short self-report scale designed to measure depressive symptomatology in the general population, which has been used in household interview surveys and in psychiatric settings.
Journal Article

Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.

TL;DR: The QUOROM Statement (QUality Of Reporting Of Meta-analyses) as mentioned in this paper was developed to address the suboptimal reporting of systematic reviews and meta-analysis of randomized controlled trials.
Journal ArticleDOI

Measuring inconsistency in meta-analyses

TL;DR: A new quantity is developed, I 2, which the authors believe gives a better measure of the consistency between trials in a meta-analysis, which is susceptible to the number of trials included in the meta- analysis.
Journal ArticleDOI

A rating scale for depression

TL;DR: The present scale has been devised for use only on patients already diagnosed as suffering from affective disorder of depressive type, used for quantifying the results of an interview, and its value depends entirely on the skill of the interviewer in eliciting the necessary information.
Journal ArticleDOI

The PHQ-9: validity of a brief depression severity measure.

TL;DR: In addition to making criteria-based diagnoses of depressive disorders, the PHQ-9 is also a reliable and valid measure of depression severity, which makes it a useful clinical and research tool.
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