A call for better depression treatment in people with Parkinson disease

Comparative efficacy and acceptability of drug treatments for Parkinson's disease with depression: A systematic review with network meta-analysis

Depressive symptom is the prevailing non-motor symptom of Parkinson's disease (PD). Drug treatments for depressed PD (dPD) can mitigate the symptoms of patients. However, the results are discordant and need further analysis. This systematic review with network meta-analysis aims to evaluate the drug treatments for dPD. We included double-blind, randomized controlled trials to compare antidepressants with placebo or other antidepressants in dPD. We performed traditional pairwise analysis and network meta-analysis concerning the efficacy, acceptability, depression score, and adverse effect. The surface under the cumulative ranking curve was to assess the ranking probabilities of the enrolled agents. We enrolled 62 studies, including 12,353 subjects, to analyze these estimates. For the traditional pairwise meta-analysis, dopamine agonist (DOP; OR = 2.20 [95% CI, 1.46 to 3.33]) and selective serotonin reuptake inhibitor (SSRI; OR = 2.30 [95% CI, 1.15 to 4.60]) were observed to improve the efficacy compared with placebo. For network meta-analysis, DOP was observed to improve the efficacy compared with placebo (OR = -0.84 [95% CI, -1.20 to -0.48]). Both direct and indirect evidence showed that several treatments, e.g., DOP, monoamine-oxidase inhibitor, serotonin-norepinephrine reuptake inhibitors, SSRI, and tricyclic antidepressants, significantly improved depressive symptoms. DOP and SSRI had good efficacy and improved symptoms considerably in dPD, but the adverse effect of these agents was needed to follow closely.

Optimal Treatment of Depression and Anxiety in Parkinson's Disease

Depression and anxiety are highly prevalent and have major adverse effects on function and quality of life in Parkinson's disease (PD). Optimal management requires that motor symptoms and psychiatric symptoms be simultaneously addressed. While there is fairly robust evidence for the treatment of motor symptoms, there are no completed randomized controlled trials to guide pharmacological treatment of anxiety in PD and no nonpharmacologic interventions have proven efficacious. Several high-quality trials for depression in PD suggest a number of antidepressants and cognitive behavioral therapy may help, but there is no data on rates of recurrence, comparative efficacy, or augmentation strategies. In order to address the gaps in knowledge, the authors provide a summary of the current evidence for treating depression and anxiety in PD and offer an algorithm that extends beyond the current literature based on clinical experience working in a multidisciplinary specialty center.

Efficacy of Traditional Chinese Medicine Combined with Selective Serotonin Reuptake Inhibitors on the Treatment for Parkinson’s Disease with Depression: A Systematic Review and Meta-Analysis

Depression is a common neuropsychiatric symptom of Parkinson’s disease (PD), resulting in a lower quality of life and cognitive impairment in PD patients. Traditional Chinese medicine (TCM) formulas have been widely used in neurodegenerative disease and neuropsychic disorders to improve life quality of patients in ethnomedicine. TCM formulas combined with selective serotonin reuptake inhibitors (SSRIs) also have a positive effect on depressed PD compared with SSRIs as reported by several clinical studies. However, the results are discordant and failed to be conclusive. We aim to evaluate the efficacy of TCM formulas combined with SSRIs for depressed PD in this systematic review. We searched literatures from PubMed, Web of Science, Medline, Embase, Google Scholar, Chinese National Knowledge Infrastructure, Wanfang Database, and VIP Information Database before July 2020. We included randomized controlled trials investigating the efficacy of TCM formulas combined with SSRIs on depressed PD patients. This analysis was according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline. Eleven randomized clinical trials involving 861 subjects were enrolled in this analysis. The overall results showed that TCM formulas combined with SSRIs significantly improved the depression score [weighted mean difference (WMD): −4.920, 95% confidence interval (CI): (−5.999, −3.840); [Formula: see text]¡ 0.001] and had a statistical significance on Unified Parkinson’s Disease Rating Scale II score [WMD: −1.209, 95% CI: (−1.561, −0.857); [Formula: see text] < 0.001]. Furthermore, we observed that Chai-Hu-Shu-Gan Powder combined with SSRIs had a significant improvement on the depressive symptom in PD compared to the SSRIs alone [WMD: −5.390, 95% CI: (−7.66, −3.11); [Formula: see text] < 0.001]. No severe side events were reported in these included trials. This systematic review provided the evidences that TCM formulas combined with SSRIs might be helpful and safe in the treatment of depression of PD, including Chai-Hu-Shu-Gan Powder. Also, more randomized double-blinded trials with reliable design are required in the future.