van der Meer Frank, Jorgensen Jesper, Hiligsmann Mickael
Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands.
Neurology and gene-therapy, UCB S.A., Brussels, Belgium.
Expert Rev Pharmacoecon Outcomes Res. 2025 Jan;25(1):17-27. doi: 10.1080/14737167.2024.2390042. Epub 2024 Aug 19.
Parkinson's Disease (PD) is a progressive, chronic neurodegenerative disease, representing significant economic and social burdens. It is typically defined by motor symptoms (MSs), however, this does not reflect the full patient burden. Non-motor symptoms (NMSs) are increasingly recognized as central characteristics of PD. However, they still lack recognition in research. Therefore, this study aims to identify relevant NMSs, their prevalence, and the effect they have on Quality-of-Life (QoL) and Cost-of-Illness (COI). Secondly, it aims to identify gaps in the current body of knowledge and propose possible ways future research could bridge those gaps.
The study employed a scoping review, identifying 60 records for inclusion, using PubMed and Web of Science. It included studies from Spain or Italy, including data on People with Parkinson's Disease. A comparative analysis was performed using Microsoft Excel.
It showed that the body of evidence relevant to NMSs, their prevalence, QoL, and COI is limited, or that estimates vary to an extent where interpretation is difficult.
Most studies suffer from generalization, representation, and standardization issues, stemming from their designs and methodological decisions. Although the findings of this study should be interpreted with caution, several recommendations are made for future research.
帕金森病(PD)是一种进行性慢性神经退行性疾病,带来了巨大的经济和社会负担。它通常由运动症状(MSs)来定义,然而,这并未反映患者的全部负担。非运动症状(NMSs)越来越被视为帕金森病的核心特征。然而,它们在研究中仍未得到充分认识。因此,本研究旨在确定相关的非运动症状、其患病率以及它们对生活质量(QoL)和疾病成本(COI)的影响。其次,旨在找出当前知识体系中的差距,并提出未来研究弥补这些差距的可能方法。
本研究采用了范围综述,通过PubMed和科学网识别出60条纳入记录。纳入了来自西班牙或意大利的研究,包括帕金森病患者的数据。使用Microsoft Excel进行了比较分析。
结果表明,与非运动症状、其患病率、生活质量和疾病成本相关的证据有限,或者估计值差异很大,难以进行解释。
大多数研究由于其设计和方法学决策而存在概括性、代表性和标准化问题。尽管本研究的结果应谨慎解释,但仍为未来研究提出了一些建议。