Abstract

Background: Movement fluctuations are the main complication of Parkinson's disease (PD) patients receiving long-term levodopa (L-dopa) treatment. We compared and ranked the efficacy and safety of dopamine agonists (DAs) with regard to motor fluctuations by using a Bayesian network meta-analysis (NMA) to quantify information from randomized controlled trials (RCTs).Methods and Findings: We carried out a systematic review and meta-analysis, and only RCTs comparing DAs for advanced PD were included. Electronic databases (PubMed, Embase, and Cochrane Library) were systematically searched for relevant studies published until January 2021. Two reviewers independently extracted individual study data and evaluated studies for risk of bias using the Cochrane Risk of Bias tool. Network meta-analyses using a Bayesian framework were used to calculate the related parameters. The pre-specified primary and secondary outcomes were efficacy (“ON” time without troublesome dyskinesia, “OFF” time, “ON” time, “UPDRS-III,” and “UPDRS-II”) and safety [treatment-emergent adverse events (TEAE) and other adverse events] of DAs. The results are presented as the surface under the cumulative ranking (SUCRA) curve. A total of 20 RCTs assessing 6,560 patients were included. The general DA effects were ranked from high to low with respect to the amount of “ON” time without troublesome dyskinesia as follows: apomorphine (SUCRA = 97.08%), pramipexole_IR (probability = 79.00%), and ropinirole_PR (SUCRA = 63.92%). The general safety of DAs was ranked from high to low with respect to TEAE as follows: placebo (SUCRA = 74.49%), pramipexole_ER (SUCRA = 63.6%), sumanirole (SUCRA = 54.07%), and rotigotine (SUCRA = 53.84%).Conclusions: This network meta-analysis shows that apomorphine increased “ON” time without troublesome dyskinesia and decreased “OF” time for advanced PD patients. The addition of pramipexole, ropinirole, or rotigotine to levodopa treatment in advanced PD patients with motor fluctuations increased “ON” time without troublesome dyskinesia, improved the UPDRS III scores, and ultimately ameliorated the UPDRS II scores, thereby maximizing its benefit. This NMA of pramipexole, ropinirole, and rotigotine represents an effective treatment option and has an acceptable safety profile in patients with advanced PD.

Highlights

  • Parkinson’s disease (PD) is characterized by substantia nigra neurodegeneration, which causes progressive striatal dopamine deficiency and motor symptoms (Obeso et al, 2014)

  • We aimed to compare and rank these eight categories of dopamine agonists (DAs) for the treatment of advanced PD patients with motor fluctuations. This is a systemic review that is based on Bayesian network metaanalysis, and it has been reported according to the Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) (Liberati et al, 2009; Hutton et al, 2015)

  • We present the relative ranking of curative effects based on drug concentration and adverse event outcomes as their surface under the cumulative ranking (SUCRA) curve, ranging from 100, indicating that the treatment has an ideal curative effect with a low incidence of adverse events, to 0, which indicates that the treatment has a poor curative effect with a relatively high incidence of adverse events

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Summary

Introduction

Parkinson’s disease (PD) is characterized by substantia nigra neurodegeneration, which causes progressive striatal dopamine deficiency and motor symptoms (Obeso et al, 2014). The symptoms of advanced PD include the presence of motor fluctuations, various degrees of dyskinesia, and disability with functional impact on activities of daily living and independence (Antonini et al, 2018). Motor fluctuations remain a major complication in the management of patients with PD receiving long-term levodopa (L-dopa) (Connolly and Lang, 2014; Rascol et al, 2015). Movement fluctuations are the main complication of Parkinson’s disease (PD) patients receiving long-term levodopa (L-dopa) treatment. We compared and ranked the efficacy and safety of dopamine agonists (DAs) with regard to motor fluctuations by using a Bayesian network meta-analysis (NMA) to quantify information from randomized controlled trials (RCTs)

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