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帕金森病运动进展率:一项系统评价与荟萃分析

Rate of motor progression in Parkinson's disease: a systematic review and meta-analysis.

作者信息

Pauwels Ayla, Phan Albert L G, Ding Catherine, Phan Thanh G, Kempster Peter A

机构信息

Department of Neurology, Monash Health, Melbourne, VIC, Australia.

NEUR Research Group, Center for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium.

出版信息

Front Neurol. 2024 Sep 26;15:1452741. doi: 10.3389/fneur.2024.1452741. eCollection 2024.

Abstract

BACKGROUND

The search for neuroprotective treatments for Parkinson's disease (PD) still relies largely on motor disability scales. A limitation of these tools is the strong influence of symptomatic dopaminergic treatment effects. Drawing on a wealth of published information, we conducted a systematic review and meta-analysis of motor progression in PD and its relationships with dopaminergic therapy.

METHODS

We searched Medline, Embase, and Central to identify 84 publications with adequate serial motor scores to calculate progression, expressed as an increase in the percentage of maximum disability.

RESULTS

A random-effects model showed motor progression at 2.0% p.a. (95% CI 1.7-2.4%). There were no significant differences by baseline age, sample size, or observation period. However, untreated patients, in 8 publications, progressed at 4.5% p.a. compared to 1.6% p.a. in 76 studies containing individuals on dopaminergic drugs ( = 0.0004,  = 0.003). This was supported by research on phenoconversion in prodromal PD, where motor progression exceeded 5% p.a. in the 2 years before diagnosis. Starting levodopa improved pre-treatment disability by 40.3 ± 15.2%. Practically defined state measurements increase faster than scores by a modest degree ( = 0.05).

CONCLUSION

This survey suggests that accurate long-term measurements of motor progression to assess disease-modifying therapies can be conducted despite the sequential commencement of dopaminergic drugs and sample attrition over time. While study designs involving prodromal or untreated PD avoid confounding effects of symptomatic treatment, different assumptions about motor progression may be needed. A defined state with the levodopa test dose method maximizes information about the medication cycle once dopaminergic therapy has begun.

摘要

背景

寻找帕金森病(PD)的神经保护治疗方法在很大程度上仍依赖于运动功能障碍量表。这些工具的一个局限性是有症状的多巴胺能治疗效果的强烈影响。基于大量已发表的信息,我们对PD的运动进展及其与多巴胺能治疗的关系进行了系统综述和荟萃分析。

方法

我们检索了Medline、Embase和Central,以确定84篇具有足够连续运动评分以计算进展的出版物,进展以最大残疾百分比的增加来表示。

结果

随机效应模型显示运动进展为每年2.0%(95%可信区间1.7 - 2.4%)。在基线年龄、样本量或观察期方面没有显著差异。然而,在8篇出版物中,未治疗的患者每年进展4.5%,而在76项包含接受多巴胺能药物治疗个体的研究中为每年1.6%(P = 0.0004,I² = 0.003)。前驱PD中表型转换的研究支持了这一点,在诊断前2年运动进展超过每年5%。开始使用左旋多巴可使治疗前残疾改善40.3±15.2%。实际定义的状态测量值比评分增加得稍快一些(P = 0.05)。

结论

这项调查表明,尽管多巴胺能药物相继开始使用且样本随时间流失,但仍可进行准确的长期运动进展测量以评估疾病修饰疗法。虽然涉及前驱或未治疗PD的研究设计可避免有症状治疗的混杂效应,但可能需要对运动进展有不同的假设。一旦开始多巴胺能治疗,使用左旋多巴试验剂量法定义的状态可最大限度地获取有关药物周期的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd86/11464440/4d1f7e6618cc/fneur-15-1452741-g001.jpg

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