Literature DB >> 10830411

Early detection of probable idiopathic Parkinson's disease: II. A prospective application of a diagnostic test battery.

E B Montgomery1, K Lyons, W C Koller.   

Abstract

We developed a battery of tests, incorporating motor function, olfaction, and mood, that distinguishes between early mild, probable idiopathic Parkinson's disease (iPD), and normal control subjects. Here, we determined the PD Battery's ability to prospectively identify which patients with symptoms and signs suggestive of, but not yet diagnostic of, iPD who would subsequently be diagnosed as having iPD. Of 212 enrolled patients, 194 have been followed for at least 1 year. Among these 194, 59 were diagnosed with iPD, 40 as neurologically normal, and the remaining 106 with other neurologic conditions such as essential tremor. The test battery was 92% specific and 68% sensitive for iPD. The area under the Receiver Operating Characteristics curve was 0.88 for predicting which participants would subsequently be diagnosed as having iPD or as being neurologically normal.

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Mesh:

Year:  2000        PMID: 10830411     DOI: 10.1002/1531-8257(200005)15:3<474::AID-MDS1008>3.0.CO;2-X

Source DB:  PubMed          Journal:  Mov Disord        ISSN: 0885-3185            Impact factor:   10.338


  12 in total

Review 1.  Neuroproteomics as a promising tool in Parkinson's disease research.

Authors:  Ilse S Pienaar; William M U Daniels; Jürgen Götz
Journal:  J Neural Transm (Vienna)       Date:  2008-06-04       Impact factor: 3.575

2.  Application of modified regression techniques to a quantitative assessment for the motor signs of Parkinson's disease.

Authors:  Bambi R Brewer; Sujata Pradhan; George Carvell; Anthony Delitto
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-10-30       Impact factor: 3.802

Review 3.  Olfaction in Parkinson's disease and related disorders.

Authors:  Richard L Doty
Journal:  Neurobiol Dis       Date:  2011-12-20       Impact factor: 5.996

4.  Variability of EMG patterns: a potential neurophysiological marker of Parkinson's disease?

Authors:  Julie A Robichaud; Kerstin D Pfann; Sue Leurgans; David E Vaillancourt; Cynthia L Comella; Daniel M Corcos
Journal:  Clin Neurophysiol       Date:  2008-12-11       Impact factor: 3.708

Review 5.  Biomarkers for evaluation of clinical efficacy of multipotential neuroprotective drugs for Alzheimer's and Parkinson's diseases.

Authors:  Ilan Halperin; Micaela Morelli; Amos D Korczyn; Moussa B H Youdim; Silvia A Mandel
Journal:  Neurotherapeutics       Date:  2009-01       Impact factor: 7.620

6.  Selective hyposmia and nigrostriatal dopaminergic denervation in Parkinson's disease.

Authors:  Nicolaas I Bohnen; Satyanarayana Gedela; Hiroto Kuwabara; Gregory M Constantine; Chester A Mathis; Stephanie A Studenski; Robert Y Moore
Journal:  J Neurol       Date:  2007-02-14       Impact factor: 4.849

7.  Biomarkers for prediction and targeted prevention of Alzheimer's and Parkinson's diseases: evaluation of drug clinical efficacy.

Authors:  Silvia A Mandel; Micaela Morelli; Ilan Halperin; Amos D Korczyn
Journal:  EPMA J       Date:  2010-06-29       Impact factor: 6.543

Review 8.  Diagnostic Criteria for Parkinson's Disease: From James Parkinson to the Concept of Prodromal Disease.

Authors:  Luca Marsili; Giovanni Rizzo; Carlo Colosimo
Journal:  Front Neurol       Date:  2018-03-23       Impact factor: 4.003

Review 9.  Parkinson's disease: a dual-hit hypothesis.

Authors:  C H Hawkes; K Del Tredici; H Braak
Journal:  Neuropathol Appl Neurobiol       Date:  2007-10-24       Impact factor: 8.090

10.  Screening for Parkinson's disease with response time batteries: a pilot study.

Authors:  Andrew M Johnson; Philip A Vernon; Quincy J Almeida; Linda L Grantier; Rene Singarayer; Mandar S Jog
Journal:  BMC Med Inform Decis Mak       Date:  2004-09-13       Impact factor: 2.796

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