Quantifying short-term dynamics of parkinson's disease using self-reported symptom data from an internet social network

Journal of Medical Internet Research

Volumn 15, Issue 1, 2013, Pages

  Little, Max ^a   Wicks, Paul ^b   Vaughan, Timothy ^b   Pentland, Alex ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b PATIENTSLIKEME INC   (United States)

Author keywords

Medical Informatics; Parkinson'S Disease; Pharmacodynamics; Social Networks; Symptoms

Indexed keywords

ARTICLE; DISEASE COURSE; FACTUAL DATABASE; HUMAN; INTERNET; PARKINSON DISEASE; PATHOPHYSIOLOGY; PSYCHOLOGICAL ASPECT; SELF REPORT; SOCIAL MEDIA; STATISTICAL MODEL; TELEMEDICINE; TIME; VALIDATION STUDY;

DATABASES, FACTUAL; DISEASE PROGRESSION; HUMANS; INTERNET; LINEAR MODELS; PARKINSON DISEASE; SELF REPORT; SOCIAL MEDIA; TELEMEDICINE; TIME FACTORS;

MLCS; MLOWN;

EID: 84877248456     PISSN: None     EISSN: 14388871     Source Type: Journal    
DOI: 10.2196/jmir.2112     Document Type: Article

References (28)

1. de Lau LM, Breteler MM. Epidemiology of Parkinson's disease. The Lancet Neurology 2006 Jun;5(6):525-535. [doi: 10.1016/S1474-4422(06)70471-9] [Medline: 16713924]
2. Wirdefeldt K, Adami HO, Cole P, Trichopoulos D, Mandel J. Epidemiology and etiology of Parkinson's disease: a review of the evidence. Eur J Epidemiol 2011 Jun;26 Suppl 1:S1-58. [doi: 10.1007/s10654-011-9581-6] [Medline: 21626386]
3. Vu TC, Nutt JG, Holford NH. Progression of motor and nonmotor features of Parkinson's disease and their response to treatment. Br J Clin Pharmacol 2012 Aug;74(2):267-283. [doi: 10.1111/j.1365-2125.2012.04192.x] [Medline: 22283961]
4. Hoehn MM, Yahr MD. Parkinsonism: onset, progression and mortality. Neurology 1967 May;17(5):427-442. [Medline: 6067254]
5. Movement Disorder Society Task Force on Rating Scales for Parkinson's Disease. The Unified Parkinson's Disease Rating Scale (UPDRS): status and recommendations. Mov Disord 2003 Jul;18(7):738-750 [FREE Full text] [doi: 10.1002/mds.10473] [Medline: 12815652]
6. Ramaker C, Marinus J, Stiggelbout AM, Van Hilten BJ. Systematic evaluation of rating scales for impairment and disability in Parkinson's disease. Mov Disord 2002 Sep;17(5):867-876. [doi: 10.1002/mds.10248] [Medline: 12360535]
7. Tsanas A, Little MA, McSharry PE, Scanlon BK, Papapetropoulos S. Statistical analysis and mapping of the Unified Parkinson's Disease Rating Scale to Hoehn and Yahr staging. Parkinsonism Relat Disord 2012 Jun;18(5):697-699. [doi: 10.1016/j.parkreldis.2012.01.011] [Medline: 22321863]
8. Martínez-Martín P, Gil-Nagel A, Gracia LM, Gómez JB, Martínez-Sarriés J, Bermejo F. Unified Parkinson's Disease Rating Scale characteristics and structure. The Cooperative Multicentric Group. Mov Disord 1994 Jan;9(1):76-83. [doi: 10.1002/mds.870090112] [Medline: 8139608]
9. PatientsLikeMe. URL: http://www.patientslikeme.com/[accessed 2012-03-05] [WebCite Cache ID 65vSjbR4n]
10. Wicks P, Vaughan TE, Massagli MP, Heywood J. Accelerated clinical discovery using self-reported patient data collected online and a patient-matching algorithm. Nat Biotechnol 2011 May;29(5):411-414. [doi: 10.1038/nbt.1837] [Medline: 21516084]
11. Kurlan R, Murphy D. Parkinson's disease data and organizing center. Mov Disord 2007 Apr 30;22(6):904-905 [FREE Full text] [doi: 10.1002/mds.21415] [Medline: 17343272]
12. PatientsLikeMe. 2012 Mar 05. Privacy policy URL: http://www. patientslikeme.com/about/privacy [accessed 2012-03-07] [WebCite Cache ID 65zQdX8tJ]
13. Louis ED, Lynch T, Marder K, Fahn S. Reliability of patient completion of the historical section of the Unified Parkinson's Disease Rating Scale. Mov Disord 1996 Mar;11(2):185-192. [doi: 10.1002/mds.870110212] [Medline: 8684390]
14. Wasserman L. All of Statistics: A Concise Course in Statistical Inference. New York: Springer; 2004.
15. Davidian M, Giltinan DM. Nonlinear models for repeated measurement data: an overview and update. Journal of Agricultural, Biological, and Environmental Statistics 2003;8(4):387-419. [doi: 10.1198/1085711032697]
16. Bonate PL. Recommended reading in population pharmacokinetic pharmacodynamics. AAPS J 2005;7(2):E363-E373 [FREE Full text] [doi: 10.1208/aapsj070237] [Medline: 16353916]
17. Rice JA, Wu CO. Nonparametric mixed effects models for unequally sampled noisy curves. Biometrics 2001 Mar;57(1):253-259. [Medline: 11252607]
18. Muller P, Rosner GL, De Iorio M, MacEachern S. A nonparametric Bayesian model for inference in related longitudinal studies. Journal of the Royal Statistical Society: Series C (Applied Statistics) 2005;54(3):611-626. [doi: 10.1111/j.1467-9876.2005.05475.x]
19. Boyd S, Vandenberghe L. Convex Optimization. Cambridge, UK: Cambridge University Press; 2004.
20. Goetz CG, Blasucci L, Stebbins GT. Switching dopamine agonists in advanced Parkinson's disease: is rapid titration preferable to slow? Neurology 1999 Apr 12;52(6):1227-1229. [Medline: 10214748]
21. Wicks P, Massagli M, Kulkarni A, Dastani H. Use of an online community to develop patient-reported outcome instruments: the Multiple Sclerosis Treatment Adherence Questionnaire (MS-TAQ). J Med Internet Res 2011;13(1):e12 [FREE Full text] [doi: 10.2196/jmir.1687] [Medline: 21266318]
22. Shulman LM, Gruber-Baldini AL, Anderson KE, Fishman PS, Reich SG, Weiner WJ. The clinically important difference on the unified Parkinson's disease rating scale. Arch Neurol 2010 Jan;67(1):64-70. [doi: 10.1001/archneurol.2009. 295] [Medline: 20065131]
23. Weiner WJ. Motor fluctuations in Parkinson's disease. Rev Neurol Dis 2006;3(3):101-108. [Medline: 17047575]
24. Eysenbach G. The law of attrition. J Med Internet Res 2005;7(1):e11 [FREE Full text] [doi: 10.2196/jmir.7.1.e11] [Medline: 15829473]
25. van Rooden SM, Colas F, Martínez-Martín P, Visser M, Verbaan D, Marinus J, et al. Clinical subtypes of Parkinson's disease. Mov Disord 2011 Jan;26(1):51-58. [doi: 10.1002/mds.23346] [Medline: 21322019]
26. Clifford GD, Clifton D. Wireless technology in disease management and medicine. Annu Rev Med 2012;63:479-492. [doi: 10.1146/annurev-med-051210-114650] [Medline: 22053737]
27. Tsanas A, Little MA, McSharry PE, Ramig LO. Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson's disease symptom severity. J R Soc Interface 2011 Jun 6;8(59):842-855 [FREE Full text] [doi: 10.1098/rsif.2010.0456] [Medline: 21084338]
28. Kostikis N, Hristu-Varsakelis D, Arnaoutoglou M, Kotsavasiloglou C, Baloyiannis S. Towards remote evaluation of movement disorders via smartphones. Conf Proc IEEE Eng Med Biol Soc 2011;2011:5240-5243. [doi: 10.1109/IEMBS.2011. 6091296] [Medline: 22255519]