Literature DB >> 15549361

Can databasing optimise patient care?

Maria Trojano1.   

Abstract

Long-term, prospective databasing of multiple sclerosis (MS) information provides a useful resource for natural history studies. Furthermore, it is the only way to address the question of whether early treatment eliminates or delays the inevitable and irreversible clinical worsening that is the hallmark of the late phase of the illness. Due to the variable nature of MS, it is useful to monitor large numbers of individuals over time. The limitations of single databases may be overcome by regional, national or international pooling of data. In this paper, the Italian Multiple Sclerosis Database Network (MSDN) and the international web-based MSBase registry are described.

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Year:  2004        PMID: 15549361     DOI: 10.1007/s00415-004-1513-x

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  9 in total

1.  The UK Multiple Sclerosis database.

Authors:  J Palace; M Boggild
Journal:  Mult Scler       Date:  1999-08       Impact factor: 6.312

Review 2.  Databases in MS research: pitfalls and promises.

Authors:  B G Weinshenker
Journal:  Mult Scler       Date:  1999-08       Impact factor: 6.312

3.  EDMUS, a European database for multiple sclerosis.

Authors:  C Confavreux; D A Compston; O R Hommes; W I McDonald; A J Thompson
Journal:  J Neurol Neurosurg Psychiatry       Date:  1992-08       Impact factor: 10.154

4.  Multivariate analysis of predictive factors of multiple sclerosis course with a validated method to assess clinical events.

Authors:  M Trojano; C Avolio; C Manzari; A Calò; F De Robertis; G Serio; P Livrea
Journal:  J Neurol Neurosurg Psychiatry       Date:  1995-03       Impact factor: 10.154

5.  MS COSTAR: a computerized patient record adapted for clinical research purposes.

Authors:  D Paty; D Studney; K Redekop; F Lublin
Journal:  Ann Neurol       Date:  1994       Impact factor: 10.422

6.  Randomized placebo-controlled trial of mitoxantrone in relapsing-remitting multiple sclerosis: 24-month clinical and MRI outcome.

Authors:  E Millefiorini; C Gasperini; C Pozzilli; F D'Andrea; S Bastianello; M Trojano; S Morino; V B Morra; A Bozzao; A Calo'; M L Bernini; D Gambi; M Prencipe
Journal:  J Neurol       Date:  1997-03       Impact factor: 4.849

7.  Age-related disability in multiple sclerosis.

Authors:  Maria Trojano; Maria Liguori; Giovanni Bosco Zimatore; Roberto Bugarini; Carlo Avolio; Damiano Paolicelli; Fabrizio Giuliani; Francesca De Robertis; Maria Giovanna Marrosu; Paolo Livrea
Journal:  Ann Neurol       Date:  2002-04       Impact factor: 10.422

8.  The Danish Multiple Sclerosis Registry: a 50-year follow-up.

Authors:  N Koch-Henriksen
Journal:  Mult Scler       Date:  1999-08       Impact factor: 6.312

9.  Interferon beta in relapsing-remitting multiple sclerosis: an independent postmarketing study in southern Italy.

Authors:  Maria Trojano; Maria Liguori; Damiano Paolicelli; Giovanni Bosco Zimatore; Francesca De Robertis; Carlo Avolio; Fabrizio Giuliani; Aurora Fuiani; Paolo Livrea
Journal:  Mult Scler       Date:  2003-10       Impact factor: 6.312

  9 in total
  3 in total

Review 1.  National MS registries.

Authors:  Peter Flachenecker; Kristin Stuke
Journal:  J Neurol       Date:  2008-12       Impact factor: 4.849

Review 2.  The role of information system in multiple sclerosis management.

Authors:  Sima Ajami; Golchehreh Ahmadi; Masoud Etemadifar
Journal:  J Res Med Sci       Date:  2014-12       Impact factor: 1.852

Review 3.  The Role of Information Systems to Manage Cerebral Palsy.

Authors:  Sima Ajami; Ali Akbar Maghsoudlorad
Journal:  Iran J Child Neurol       Date:  2016
  3 in total

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