Detecting depression in Parkinson disease A systematic review and meta-analysis
Zahra Goodarzi,Kelly Mrklas,Derek J. Roberts,Nathalie Jette,Tamara Pringsheim,Jayna Holroyd-Leduc +5 more
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TL;DR: There are several valid tools for detecting depression in patients with PD and practitioners should choose one that fits their clinical practice, although all estimates had heterogeneity.
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Abstract: Background: Failure to detect depression in patients with Parkinson disease (PD) can lead to worsened outcomes for patients and caregivers. Accurate identification of depression would enable practitioners to provide comprehensive care for their patients with PD. Methods: Our objective was to examine the diagnostic accuracy of tools for detecting depression in adult outpatients with PD. We searched MEDLINE, PsycINFO, and EMBASE (inception to December 1, 2015), gray literature, and bibliographies of included studies. The pooled prevalence of depression across studies and diagnostic accuracy estimates were calculated using random-effects models. Diagnostic accuracy estimates were calculated across the best-reported cutoffs from each study and across specific cutoffs, when feasible. Results: Out of 8,184 citations, 21 studies were included, evaluating 24 tools, with 4 amenable to meta-analysis. The pooled prevalence of major depression was 22.9% (95% confidence interval [CI] 18.1–27.7). The 15-item Geriatric Depression Scale (GDS-15) had a pooled sensitivity of 0.81 (95% CI 0.64–0.91) and specificity of 0.91 (95% CI 0.87–0.94). The most sensitive cutoff for the GDS-15 was 5 at 0.91 (95% CI 0.83–1.00). The Beck Depression Inventory I/Ia had a pooled sensitivity of 0.79 (95% CI 0.61–0.90) and specificity of 0.85 (95% CI 0.79–0.90). The Montgomery-Asberg Depression Rating Scale yielded a pooled sensitivity of 0.77 (95% CI 0.69–0.83) and specificity of 0.92 (95% CI 0.79–0.97). The Unified Parkinson9s Disease Rating Scale had a pooled sensitivity of 0.72 (95% CI 0.64–0.79) and specificity of 0.80 (95% CI 0.70–0.87). All estimates had heterogeneity. Conclusions: There are several valid tools for detecting depression in patients with PD. Practitioners should choose one that fits their clinical practice.
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Current advances in metabolomic studies on non‑motor psychiatric manifestations of Parkinson's disease (Review)
Adela Magdalena Ciobanu,Ioana Ionita,Mihaela Buleandra,Iulia Gabriela David,Dana Elena Popa,Anton Alexandru Ciucu,Magdalena Budisteanu +6 more
TL;DR: In this paper, a broad and complex understanding of the recent advances in '-omics' research fields, electronic databases such as PubMed, Google Academic, and Science Direct were searched for publications regarding metabolomic studies on PD to identify specific biomarkers for PD, and especially PD with associated psychiatric symptomatology.
Assisted Suicide in Parkinsonian Disorders
TL;DR: In this article, the frequency of assisted suicide in patients with Parkinson's disease and atypical Parkinsonian disorders (APD) was investigated and the most common suicidal ideation symptoms were immobility, helplessness, pain, and depression.
Comorbid Depression and Psychosis in Parkinson's Disease: A Report of 62,783 Hospitalizations in the United States.
Sundus Imran,Rikinkumar S Patel,Henry K. Onyeaka,M. Z. Tahir,Sowmya Madireddy,Pranita Mainali,Sadaf Hossain,Wahida Rashid,Uwandu Queeneth,Naveed Ahmad +9 more
TL;DR: Psychiatric comorbidities are prevalent in Parkinson’s disease patients and are associated with more disease severity, impaired quality of life, and increased use of healthcare resources (higher LOS and cost).
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Annual Prevalence of Use of Potentially Inappropriate Medications for Treatment of Affective Disorders in Parkinson's Disease
Danielle S. Abraham,Thanh Phuong Pham Nguyen,Sean Hennessy,Shelly L. Gray,Dawei Xie,Daniel Weintraub,Allison W. Willis +6 more
TL;DR: Treatment of affective disorders in persons diagnosed with PD is high and PIM use is also common, particularly in persons with anxiety, and future research will quantify the potential effects of these PIMs on clinical and patient outcomes.
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Longitudinal risk factors for developing depressive symptoms in Parkinson's disease.
Tarek Antar,Huw R. Morris,Faraz Faghri,Hampton L. Leonard,Mike A. Nalls,Andrew B. Singleton,Hirotaka Iwaki +6 more
TL;DR: In this paper, a Cox regression model was used to identify baseline factors that predisposed the non-depressed patient to develop depressive symptoms that were sustained for at least one year, while adjusting for antidepressant use and cognitive impairment.
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Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement
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.
Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
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.
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