Literature DB >> 18690499

Postmarketing evidence of disease-modifying drugs in multiple sclerosis.

Maria Trojano1, Damiano Paolicelli, Aurora Fuiani, Fabio Pellegrini, Pietro Iaffaldano, Vita Direnzo, Mariangela D'Onghia.   

Abstract

There is growing interest in the use of observational data to estimate treatment effects in chronic diseases such as multiple sclerosis (MS). The main results derived from postmarketing evaluations, in the last 2 years, of short-and long-term disease modifying drugs (DMDs) effectiveness will be reported in this Review. Moreover, some of the methodological improvements that may be useful to enhance the quality of observational studies will also be discussed.

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Year:  2008        PMID: 18690499     DOI: 10.1007/s10072-008-0944-z

Source DB:  PubMed          Journal:  Neurol Sci        ISSN: 1590-1874            Impact factor:   3.307


  10 in total

Review 1.  Methods in health services research. Interpreting the evidence: choosing between randomised and non-randomised studies.

Authors:  M McKee; A Britton; N Black; K McPherson; C Sanderson; C Bain
Journal:  BMJ       Date:  1999-07-31

2.  Estimating treatment effects using observational data.

Authors:  Ralph B D'Agostino; Ralph B D'Agostino
Journal:  JAMA       Date:  2007-01-17       Impact factor: 56.272

3.  The design versus the analysis of observational studies for causal effects: parallels with the design of randomized trials.

Authors:  Donald B Rubin
Journal:  Stat Med       Date:  2007-01-15       Impact factor: 2.373

4.  Is it time to use observational data to estimate treatment effectiveness in multiple sclerosis?

Authors:  Maria Trojano
Journal:  Neurology       Date:  2007-10-09       Impact factor: 9.910

5.  Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group.

Authors:  R B D'Agostino
Journal:  Stat Med       Date:  1998-10-15       Impact factor: 2.373

6.  Assessing the sensitivity of regression results to unmeasured confounders in observational studies.

Authors:  D Y Lin; B M Psaty; R A Kronmal
Journal:  Biometrics       Date:  1998-09       Impact factor: 2.571

7.  MSBase: an international, online registry and platform for collaborative outcomes research in multiple sclerosis.

Authors:  H Butzkueven; J Chapman; E Cristiano; F Grand'Maison; M Hoffmann; G Izquierdo; D Jolley; L Kappos; T Leist; D Pöhlau; V Rivera; M Trojano; F Verheul; J P Malkowski
Journal:  Mult Scler       Date:  2006-12       Impact factor: 6.312

8.  The Italian Multiple Sclerosis Database Network (MSDN): the risk of worsening according to IFNbeta exposure in multiple sclerosis.

Authors:  Maria Trojano; Pierluigi Russo; Aurora Fuiani; Damiano Paolicelli; Elisabetta Di Monte; Enrico Granieri; Giulio Rosati; Giovanni Savettieri; Giancarlo Comi; Paolo Livrea
Journal:  Mult Scler       Date:  2006-10       Impact factor: 6.312

9.  New natural history of interferon-beta-treated relapsing multiple sclerosis.

Authors:  Maria Trojano; Fabio Pellegrini; Aurora Fuiani; Damiano Paolicelli; Valentina Zipoli; Giovanni B Zimatore; Elisabetta Di Monte; Emilio Portaccio; Vito Lepore; Paolo Livrea; Maria Pia Amato
Journal:  Ann Neurol       Date:  2007-04       Impact factor: 10.422

10.  How effective are disease-modifying drugs in delaying progression in relapsing-onset MS?

Authors:  M G Brown; S Kirby; C Skedgel; J D Fisk; T J Murray; V Bhan; I S Sketris
Journal:  Neurology       Date:  2007-08-15       Impact factor: 9.910

  10 in total
  1 in total

1.  Long-term comparative analysis of no evidence of disease activity (NEDA-3) status between multiple sclerosis patients treated with natalizumab and fingolimod for up to 4 years.

Authors:  Tommaso Guerra; Francesca Caputo; Bianca Orlando; Damiano Paolicelli; Maria Trojano; Pietro Iaffaldano
Journal:  Neurol Sci       Date:  2021-03-06       Impact factor: 3.307

  1 in total

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