Databases in MS research: pitfalls and promises
- 1 August 1999
- journal article
- research article
- Published by SAGE Publications in Multiple Sclerosis Journal
- Vol. 5 (4) , 206-211
- https://doi.org/10.1177/135245859900500402
Abstract
A database is an organized repository of data. Prospective collection of patient information in a database (`databasing') has been attempted by a few consortia of MS investigators over the past 10 years. This approach promises to facilitate epidemiologic research in MS and investigation of the natural history of the disease and how it might be altered by long-term treatments such as interferon beta. Databasing has some advantages over clinical trials in assessing new therapies, primarily because the focus is on long-term effectiveness in an entire population rather than short-term statistical significance in a highly selected population. The limitations of databasing and strategies to overcome these limitations are addressed.Keywords
This publication has 15 references indexed in Scilit:
- Studies on the natural history of multiple sclerosis—8: Early prognostic features of the later course of the illnessPublished by Elsevier ,2004
- Databases for PsychiatristsHarvard Review of Psychiatry, 1996
- Increased risk of multiple sclerosis after late Epstein-Barr virus infection: a historical prospective studyMultiple Sclerosis Journal, 1995
- DATA COLLECTION IN THE CLINICRheumatic Disease Clinics of North America, 1995
- Survival of patients with multiple sclerosis in DenmarkNeurology, 1994
- Trauma and multiple sclerosisNeurology, 1993
- Rheumatoid arthritis: Disappointing long-term outcomes despite successful short-term clinical trialsJournal of Clinical Epidemiology, 1988
- The Natural History of Multiple SclerosisCanadian Journal of Neurological Sciences, 1987
- Epidemiology of multiple sclerosis in U.S. veteransNeurology, 1979
- STUDIES ON THE NATURAL HISTORY OF MULTIPLE SCLEROSIS: 7. Correlates of Clinical Change in an Early BoutActa Neurologica Scandinavica, 1973