Abstract
As there are no definite diagnostic tests or reliable biomarkers for Parkinson disease (PD), its diagnosis still relies on the presence of a combination of cardinal motor features, along with the exclusion of other causes of Parkinsonism and the presence of some of supportive features. To date, several diagnostic criteria have been developed for different purposes through expert opinions or comprehensive review of the literature. However, none of them are without limitations. In this article, we review different diagnostic criteria for PD which have been published in the English medical literature, highlighting specific limitations and pitfalls. With considerable progress in the understanding of PD, particularly in a view of diverse clinical symptomatology and its evolution, it will be difficult to establish a single criterion that is capable of capturing all cases at different disease stages. Rather, we should aim to develop a set of criteria which include a consensus on clinical gold standard or reliable biomarkers at different levels of diagnostic certainty for different purposes. Despite a more refined set of criteria that may aid in the recognition of PD, the accuracy of its diagnosis still largely depends on the observational skills and clinical sensitivity of the treating physician.
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References
Bhidayasiri R, Truong DD (2012) Therapeutic strategies for nonmotor symptoms in early Parkinson’s disease: the case for a higher priority and stronger evidence. Parkinsonism Relat Disord 18(Suppl 1):S110–S113
Bhidayasiri R, Saksornchai K, Kaewwilai L, Phanthumchinda K (2011a) A census of movement disorders at a Thai university hospital. J Neurol Sci 301(1–2):31–34
Bhidayasiri R, Wannachai N, Limpabandhu S, Choeytim S, Suchonwanich Y, Tananyakul S et al (2011b) A national registry to determine the distribution and prevalence of Parkinson’s disease in Thailand: implications of urbanization and pesticides as risk factors for Parkinson’s disease. Neuroepidemiology 37(3–4):222–230
Brooks DJ (2012) Parkinson’s disease: diagnosis. Parkinsonism Relat Disord 18(Suppl 1):S31–S33
Busse K, Heilmann R, Kleinschmidt S, Abu-Mugheisib M, Hoppner J, Wunderlich C et al (2012) Value of combined midbrain sonography, olfactory and motor function assessment in the differential diagnosis of early Parkinson’s disease. J Neurol Neurosurg Psychiatry 83(4):441–447
Calne DB, Snow BJ, Lee C (1992) Criteria for diagnosing Parkinson’s disease. Ann Neurol 32(Suppl):S125–S127
Coelho M, Ferreira JJ (2012) Late-stage Parkinson disease. Nat Rev Neurol 8(8):435–442
de Rijk MC, Rocca WA, Anderson DW, Melcon MO, Breteler MM, Maraganore DM (1997) A population perspective on diagnostic criteria for Parkinson’s disease. Neurology 48(5):1277–1281
Dotchin C, Walker R (2012) The management of Parkinson’s disease in sub-Saharan Africa. Expert Rev Neurother 12(6):661–666
Fahn S (2011) Classification of movement disorders. Mov Disord 26(6):947–957
Fahn S, Jankovic J, Hallett M (2011) Parkinsonism: clinical features and differential diagnosis. In: Fahn S, Jankovic J, Hallett M (eds) Principles and practice of movement disorders. Saunders, USA, pp 66–92
Forno LS (1987) The Lewy body in Parkinson’s disease. Adv Neurol 45:35–43
Gelb DJ, Oliver E, Gilman S (1999) Diagnostic criteria for Parkinson disease. Arch Neurol 56(1):33–39
Gibb WR, Lees AJ (1988) The relevance of the Lewy body to the pathogenesis of idiopathic Parkinson’s disease. J Neurol Neurosurg Psychiatry 51(6):745–752
Han M, Nagele E, DeMarshall C, Acharya N, Nagele R (2012) Diagnosis of Parkinson’s disease based on disease-specific autoantibody profiles in human sera. PLoS ONE 7(2):e32383
Hely MA, Reid WG, Adena MA, Halliday GM, Morris JG (2008) The Sydney multicenter study of Parkinson’s disease: the inevitability of dementia at 20 years. Mov Disord 23(6):837–844
Hoehn MM, Yahr MD (1967) Parkinsonism: onset, progression and mortality. Neurology 17(5):427–442
Hughes AJ, Ben-Shlomo Y, Daniel SE, Lees AJ (1992a) What features improve the accuracy of clinical diagnosis in Parkinson’s disease: a clinicopathologic study. Neurology 42(6):1142–1146
Hughes AJ, Daniel SE, Kilford L, Lees AJ (1992b) Accuracy of clinical diagnosis of idiopathic Parkinson’s disease: a clinic-pathological study of 100 cases. J Neurol Neurosurg Psychiatry 55:181–184
Hughes AJ, Daniel SE, Blankson S, Lees AJ (1993a) A clinicopathologic study of 100 cases of Parkinson’s disease. Arch Neurol 50(2):140–148
Hughes AJ, Daniel SE, Lees AJ (1993b) The clinical features of Parkinson’s disease in 100 histologically proven cases. Adv Neurol 60:595–599
Hughes AJ, Daniel SE, Lees AJ (2001) Improved accuracy of clinical diagnosis of Lewy body Parkinson’s disease. Neurology 57:1497–1499
Hughes AJ, Daniel SE, Ben Shlomo Y, Lees AJ (2002) The accuracy of diagnosis pf parkinsonian syndromes in a specialist movement disorder service. Brain 125:861–870
Koller WC (1992) How accurately can Parkinson’s disease be diagnosed? Neurology 42(1 Suppl 1):6–16 (discussion 57–60)
Larsen JP, Dupont E, Tandberg E (1994) Clinical diagnosis of Parkinson’s disease. Proposal of diagnostic subgroups classified at different levels of confidence. Acta Neurol Scand 89(4):242–251
Louis ED, Klatka LA, Liu Y, Fahn S (1997) Comparison of extrapyramidal features in 31 pathologically confirmed cases of diffuse Lewy body disease and 34 pathologically confirmed cases of Parkinson’s disease. Neurology 48(2):376–380
Martin WE, Loewenson RB, Resch JA, Baker AB (1973) Parkinson’s disease. Clinical analysis of 100 patients. Neurology 23(8):783–790
Meara J, Bhowmick BK, Hobson P (1999) Accuracy of diagnosis in patients with presumed Parkinson’s disease. Age Ageing 28(2):99–102
O’Sullivan SS, Williams DR, Gallagher DA, Massey LA, Silveira-Moriyama L, Lees AJ (2008) Nonmotor symptoms as presenting complaints in Parkinson’s disease: a clinicopathological study. Mov Disord 23(1):101–106
Ozcift A (2012) SVM feature selection based rotation forest ensemble classifiers to improve computer-aided diagnosis of Parkinson disease. J Med Syst 36(4):2141–2147
Quinn N (1995) Parkinsonism–recognition and differential diagnosis. BMJ 310(6977):447–452
Rajput AH, Rozdilsky B, Ang L (1991a) Occurrence of resting tremor in Parkinson’s disease. Neurology 41(8):1298–1299
Rajput AH, Rozdilsky B, Rajput A (1991b) Accuracy of clinical diagnosis in Parkinsonism–a prospective study. Can J Neurol Sci 18(3):275–278
Rao G, Fisch L, Srinivasan S, D’Amico F, Okada T, Eaton C et al (2003) Does this patient have Parkinson disease? JAMA 289(3):347–353
Reichmann H (2010) Clinical criteria for the diagnosis of Parkinson’s disease. Neurodegener Dis 7(5):284–290
Schrag A, Ben-Shlomo Y, Quinn N (2002) How valid is the clinical diagnosis of Parkinson’s disease in the community? J Neurol Neurosurg Psychiatry 73(5):529–534
Shi FD, Jia JP (2011) Neurology and neurologic practice in China. Neurology 77(22):1986–1992
Siderowf A, Stern MB (2008) Premotor Parkinson’s disease: clinical features, detection, and prospects for treatment. Ann Neurol 64(Suppl 2):S139–S147
Stern MB, Lang A, Poewe W (2012) Toward a redefinition of Parkinson’s disease. Mov Disord 27(1):54–60
van de Loo S, Walter U, Behnke S, Hagenah J, Lorenz M, Sitzer M et al (2010) Reproducibility and diagnostic accuracy of substantia nigra sonography for the diagnosis of Parkinson’s disease. J Neurol Neurosurg Psychiatry 81(10):1087–1092
van Rooden SM, Heiser WJ, Kok JN, Verbaan D, van Hilten JJ, Marinus J (2010) The identification of Parkinson’s disease subtypes using cluster analysis: a systematic review. Mov Disord 25(8):969–978
van Rooden SM, Colas F, Martinez-Martin P, Visser M, Verbaan D, Marinus J et al (2011) Clinical subtypes of Parkinson’s disease. Mov Disord 26(1):51–58
Ward CD, Gibb WR (1990) Research diagnostic criteria for Parkinson’s disease. Adv Neurol 53:245–249
Acknowledgment
The study was supported by the Rachadaphiseksomphot Endowment Fund part of the “Strengthen CU's Researcher’s Project” and research unit grant number GRU 52-026-30-005 of Chulalongkorn University, Bangkok, Thailand.
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Bhidayasiri, R., Reichmann, H. Different diagnostic criteria for Parkinson disease: what are the pitfalls?. J Neural Transm 120, 619–625 (2013). https://doi.org/10.1007/s00702-013-1007-z
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DOI: https://doi.org/10.1007/s00702-013-1007-z