» Articles » PMID: 16606907

Practice Parameter: Diagnosis and Prognosis of New Onset Parkinson Disease (an Evidence-based Review): Report of the Quality Standards Subcommittee of the American Academy of Neurology

Overview
Journal Neurology
Specialty Neurology
Date 2006 Apr 12
PMID 16606907
Citations 77
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: To define key issues in the diagnosis of Parkinson disease (PD), to define features influencing progression, and to make evidence-based recommendations. Two clinical questions were identified: 1) Which clinical features and diagnostic modalities distinguish PD from other parkinsonian syndromes? 2) Which clinical features predict rate of disease progression?

Methods: Systematic review of the literature was completed. Articles were classified according to a four-tiered level of evidence scheme. Recommendations were based on the evidence.

Results And Conclusions: 1. Early falls, poor response to levodopa, symmetry of motor manifestations, lack of tremor, and early autonomic dysfunction are probably useful in distinguishing other parkinsonian syndromes from Parkinson disease (PD). 2. Levodopa or apomorphine challenge and olfactory testing are probably useful in distinguishing PD from other parkinsonian syndromes. 3. Predictive factors for more rapid motor progression, nursing home placement, and shorter survival time include older age at onset of PD, associated comorbidities, presentation with rigidity and bradykinesia, and decreased dopamine responsiveness. Future research into methods for earlier and more accurate diagnosis of the disease and identification and clarification of predictive factors of rapid disease progression is warranted.

Citing Articles

Integrating Big Data, Artificial Intelligence, and motion analysis for emerging precision medicine applications in Parkinson's Disease.

Dipietro L, Eden U, Elkin-Frankston S, El-Hagrassy M, Camsari D, Ramos-Estebanez C J Big Data. 2024; 11(1):155.

PMID: 39493349 PMC: 11525280. DOI: 10.1186/s40537-024-01023-3.


Instrumented timed up and go test and machine learning-based levodopa response evaluation: a pilot study.

He J, Wu L, Du W, Zhang F, Lin S, Ling Y J Neuroeng Rehabil. 2024; 21(1):163.

PMID: 39294708 PMC: 11409684. DOI: 10.1186/s12984-024-01452-4.


Usefulness of Olfactory Bulb Measurement in 3D-FIESTA in Differentiating Parkinson Disease from Atypical Parkinsonism.

Ide S, Murakami Y, Futatsuya K, Anai K, Yoshimatsu Y, Fukumitsu S AJNR Am J Neuroradiol. 2024; 45(8):1141-1152.

PMID: 38871365 PMC: 11383392. DOI: 10.3174/ajnr.A8275.


Clinical features and neurobiochemical mechanisms of olfactory dysfunction in patients with Parkinson disease.

Wang R, Lian T, He M, Guo P, Yu S, Zuo L J Neurol. 2023; 271(4):1959-1972.

PMID: 38151574 DOI: 10.1007/s00415-023-12122-1.


Tinetti balance performance is associated with mortality in older adults with late-onset Parkinson's disease: a longitudinal study.

Laurent L, Koskas P, Estrada J, Sebbagh M, Lacaille S, Raynaud-Simon A BMC Geriatr. 2023; 23(1):54.

PMID: 36717787 PMC: 9887890. DOI: 10.1186/s12877-023-03776-7.