Prognosis of the individual course of disease - Steps in developing a decision support tool for Multiple Sclerosis

BMC Medical Informatics and Decision Making

Volumn 7, Issue , 2007, Pages

  Daumer, M ^a,b   Neuhaus, A ^a   Lederer, C ^a,b   Scholz, M ^b   Wolinsky, J S ^c   Heiderhoff, M ^d  

^a Sylvia Lawry Centre for Multiple Sclerosis Research   (Germany)

^b TRIUM ANALYSIS ONLINE GMBH   (Germany)

^c UNIVERSITY OF TEXAS   (United States)

^d UNIVERSITY HOSPITAL HEIDELBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; CHRONIC DISEASE; CLINICAL STUDY; DATA BASE; DECISION SUPPORT SYSTEM; DEMOGRAPHY; DISEASE COURSE; EXPANDED DISABILITY STATUS SCALE; KAPLAN MEIER METHOD; MULTIPLE SCLEROSIS; ONLINE ANALYTICAL PROCESSING; PATIENT; PROGNOSIS; RECURRENCE RISK; STATISTICAL ANALYSIS; STATISTICAL MODEL; COMPARATIVE STUDY; COMPUTER SIMULATION; FACTUAL DATABASE; FEMALE; GERMANY; HUMAN; MALE; MORTALITY; PATHOPHYSIOLOGY; RISK ASSESSMENT; RISK FACTOR;

CHRONIC DISEASE; COMPUTER SIMULATION; DATABASES, FACTUAL; DECISION SUPPORT SYSTEMS, CLINICAL; DISEASE PROGRESSION; FEMALE; GERMANY; HUMANS; KAPLAN-MEIERS ESTIMATE; MALE; MULTIPLE SCLEROSIS; PROGNOSIS; RISK ASSESSMENT; RISK FACTORS;

EID: 34249821383     PISSN: None     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/1472-6947-7-11     Document Type: Article

References (14)

1. Maintaining high quality of statistical evaluations based on the SLCMSR data base. S Schach M Daumer A Neiß Validation Policy of the Sylvia Lawry Centre 2005
2. R: A language and environment for statistical computing. R Development Core Team, R Foundation for Statistical Computing, Vienna, Austria 2004 http://www.R-project.org ISBN 3-900051-07-0
3. Lexical Scope and Statistical Computing. R Gentleman R Ihaka, JCGS 2000 9 3 491 508
4. SAS/INTRNET Software. http://support.sas.com/rnd/web/intrnet/index.html
5. Change in MS-related disability in a population-based cohort: A 10-year follow-up study. SJ Pittock WT Mayr RL McClelland NW Jorgensen SD Weigand JH Noseworthy BG Weinshenker M Rodriguez, Neurology 2004 62 51 59 10.1159/000080499 14718697
6. Natural history of multiple sclerosis. GC Ebers, Multiple sclerosis London: Churchill Livingstone, Compston A, 3 1998 191 221
7. Relapses and progression of disability in multiple sclerosis. C Confavreux S Vukusic T Moreau P Adeleine, New Engl J Med 2000 343 1430 1438 10.1056/NEJM200011163432001 11078767
8. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). JF Kurtzke, Neurology 1983 33 1444 1452 6685237
9. Defining the clinical course of multiple sclerosis: results of an international survey. National Multiple Sclerosis Society (USA) Advisory Committee on Clinical Trials of New Agents in Multiple Sclerosis. FD Lublin SC Reingold, Neurology 1996 46 907 911 8780061
10. Effect of early interferon treatment on conversion to definite multiple sclerosis: a randomised study. G Comi M Filippi F Barkhof L Durelli G Edan O Fernandez H Hartung P Seeldrayers PS Sorensen M Rovaris V Martinelli OR Hommes Early Treatment of Multiple Sclerosis Study Group, Lancet 2001 357 1576 1582 10.1016/S0140-6736(00)04725-5 11377645
11. Intramuscular interferon beta-1a therapy initiated during a first demyelinating event in multiple sclerosis. CHAMPS Study Group. LD Jacobs RW Beck JH Simon RP Kinkel CM Brownscheidle TJ Murray NA Simonian PJ Slasor AW Sandrock, N Engl J Med 2000 343 898 904 10.1056/NEJM200009283431301 11006365
12. The additional predictive value of magnetic resonance imaging for the prediction of future relapses if relapse history is available. M Daumer A Hapfelmeier A Neuhaus G Ebers, Multiple Sclerosis 2006 12 Suppl 1 46 47
13. Nonparametric Analysis of Covariance by Matching. D Quade, Biometrics 1982 38 597 611 10.2307/2530042 7171690
14. Prognosis of multiple sclerosis: clinical factors predicting the late evolution for an early treatment decision. R Bergamaschi, Expert Rev Neurother 2006 6 357 364 10.1586/14737175.6.3.357 16533140