Eusebi Paolo, Hansson Oskar, Paciotti Silvia, Orso Massimiliano, Chiasserini Davide, Calabresi Paolo, Blennow Kaj, Parnetti Lucilla
Department of Medicine, Neurology Clinic, University of Perugia, Ospedale Santa Maria della Misericordia, Perugia, Perugia, Italy.
Department of Clinical Sciences, Clinical Memory Research Unit, Lund University, Lund, Sweden.
BMJ Open. 2017 Nov 22;7(11):e018177. doi: 10.1136/bmjopen-2017-018177.
Idiopathic Parkinson's disease (PD) is a progressive neurodegenerative disorder related to α-synuclein misfolding and aggregation. For this reason, it belongs to the family of 'synucleinopathies', which also includes some other neurological diseases. Although imaging and ancillary investigations may be helpful in the diagnostic workup, the diagnosis of PD mostly relies on the clinician's expertise. Furthermore, there is a need today for markers that can track the disease progression in PD that might improve the evaluation of novel disease-modifying therapies. The cerebrospinal fluid (CSF) has been widely investigated with the purpose of finding useful diagnostic and prognostic biomarkers for PD.
This systematic review protocol has been developed according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses Protocol 2015 statement and was registered on the PROSPERO international prospective register of systematic reviews. An international collaboration will be established. We will search the Cochrane Library, Web of Science, Medline and Embase from inception, using appropriate search strategies. Individual participant data from all included studies will be merged into a single database. We will include any study assessing the diagnostic and prognostic role of CSF biomarkers in PD. To evaluate the risk of bias and applicability of primary diagnostic accuracy studies, we will use Quality Assessment of Diagnostic Accuracy Studies-2 and Quality in Prognostic Studies. We will use standard meta-analytic procedures. We will first explore the utility of each CSF biomarker in turn. For each biomarker, we will assess its diagnostic and prognostic utility by means of receiver operating characteristic analysis and regression models. We will then move towards a multivariate approach considering different panels of biomarkers.
Our study will not include confidential data, and no intervention will be involved, so ethical approval is not required. The results of the study will be reported in international peer-reviewed journals.
特发性帕金森病(PD)是一种与α-突触核蛋白错误折叠和聚集相关的进行性神经退行性疾病。因此,它属于“突触核蛋白病”家族,该家族还包括其他一些神经系统疾病。尽管影像学和辅助检查可能有助于诊断工作,但PD的诊断主要依赖于临床医生的专业知识。此外,目前需要能够追踪PD疾病进展的标志物,这可能会改善对新型疾病修饰疗法的评估。脑脊液(CSF)已被广泛研究,目的是寻找用于PD的有用诊断和预后生物标志物。
本系统评价方案是根据《系统评价和Meta分析方案的首选报告项目2015声明》制定的,并在国际前瞻性系统评价注册库PROSPERO上进行了注册。将建立国际合作。我们将从数据库建立之初开始,使用适当的检索策略,检索Cochrane图书馆、科学网、Medline和Embase。所有纳入研究的个体参与者数据将合并到一个单一数据库中。我们将纳入任何评估CSF生物标志物在PD中的诊断和预后作用的研究。为了评估主要诊断准确性研究的偏倚风险和适用性,我们将使用诊断准确性研究质量评估-2和预后研究质量评估。我们将使用标准的Meta分析程序。我们将首先依次探讨每种CSF生物标志物的效用。对于每种生物标志物,我们将通过受试者工作特征分析和回归模型评估其诊断和预后效用。然后,我们将采用多变量方法,考虑不同的生物标志物组合。
我们的研究不包括机密数据,也不涉及任何干预措施,因此无需伦理批准。研究结果将在国际同行评审期刊上发表。