Literature DB >> 22155025

If you build a rare disease registry, will they enroll and will they use it? Methods and data from the National Registry of Myotonic Dystrophy (DM) and Facioscapulohumeral Muscular Dystrophy (FSHD).

James E Hilbert1, John T Kissel, Elizabeth A Luebbe, William B Martens, Michael P McDermott, Donald B Sanders, Rabi Tawil, Charles A Thornton, Richard T Moxley.   

Abstract

INTRODUCTION: Registries are becoming increasingly important for rare diseases as experimental therapies develop. This report describes the methodology behind the National Registry of Myotonic Dystrophy (DM) and Facioscapulohumeral Muscular Dystrophy (FSHD) Patients and Family Members to facilitate the development of other rare disease registries. We also highlight data about the pathophysiology and select burdens of DM and FSHD reported at baseline and longitudinally.
METHODS: The Registry consists of de-identified, patient reported information collected at baseline and annually and information from review of medical records. Investigators can use the Registry to analyze de-identified data and to facilitate recruitment into clinical studies.
RESULTS: To date, the Registry has enrolled 1611 members, facilitated 24 studies, and collected data annually for up to 8 years. Genetic test results were obtained in 56.2% of enrollees. Approximately one-third of members used assistive devices and another one-third reported psychological problems at baseline. Wheelchair use was reported for both short and long distances by 7.0% of DM and 18.1% of FSHD members. Approximately 60% of members reported their employment was affected by their disease.
CONCLUSIONS: Strengths of the Registry include large sample sizes, stringent review of clinical and molecular data, annually updated information, and regular interactions between patients and investigators. Registry data provide new insights into the burdens of DM and FSHD, such as, psychological problems and reduced employment. Opportunities abound for investigators to utilize Registry resources to assess the impact of these and other burdens on health care costs, progression of symptoms, and quality of life.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22155025      PMCID: PMC3357007          DOI: 10.1016/j.cct.2011.11.016

Source DB:  PubMed          Journal:  Contemp Clin Trials        ISSN: 1551-7144            Impact factor:   2.226


  52 in total

1.  171st ENMC international workshop: Standards of care and management of facioscapulohumeral muscular dystrophy.

Authors:  Rabi Tawil; Silvere van der Maarel; George W Padberg; Baziel G M van Engelen
Journal:  Neuromuscul Disord       Date:  2010-07       Impact factor: 4.296

Review 2.  The descriptive epidemiology of commonly occurring mental disorders in the United States.

Authors:  Ronald C Kessler; Philip S Wang
Journal:  Annu Rev Public Health       Date:  2008       Impact factor: 21.981

3.  Myotonic dystrophy type I in childhood Long-term evolution in patients surviving the neonatal period.

Authors:  Bernard Echenne; Aline Rideau; Agathe Roubertie; Guillaume Sébire; François Rivier; Bernard Lemieux
Journal:  Eur J Paediatr Neurol       Date:  2007-09-24       Impact factor: 3.140

4.  Patient Registries and Trial Readiness in Myotonic Dystrophy--TREAT-NMD/Marigold International Workshop Report.

Authors:  Rachel Thompson; Benedikt Schoser; Darren G Monckton; Karla Blonsky; Hanns Lochmüller
Journal:  Neuromuscul Disord       Date:  2009-10-20       Impact factor: 4.296

Review 5.  Myotonic dystrophy: RNA-mediated muscle disease.

Authors:  Thurman M Wheeler; Charles A Thornton
Journal:  Curr Opin Neurol       Date:  2007-10       Impact factor: 5.710

6.  How much expansion to be diseased?: toward repeat size and myotonic dystrophy type 2.

Authors:  Benedikt Schoser; Tetsuo Ashizawa
Journal:  Neurology       Date:  2009-02-10       Impact factor: 9.910

Review 7.  Myotonic dystrophy: therapeutic strategies for the future.

Authors:  Thurman M Wheeler
Journal:  Neurotherapeutics       Date:  2008-10       Impact factor: 7.620

8.  Impact of biopsychosocial factors on chronic pain in persons with myotonic and facioscapulohumeral muscular dystrophy.

Authors:  Jordi Miró; Katherine A Raichle; Gregory T Carter; Sarah A O'Brien; Richard T Abresch; Craig M McDonald; Mark P Jensen
Journal:  Am J Hosp Palliat Care       Date:  2009-05-04       Impact factor: 2.500

9.  Using focus groups to inform the Neuro-QOL measurement tool: exploring patient-centered, health-related quality of life concepts across neurological conditions.

Authors:  Lori Perez; Jennifer Huang; Liz Jansky; Cindy Nowinski; David Victorson; Amy Peterman; David Cella
Journal:  J Neurosci Nurs       Date:  2007-12       Impact factor: 1.230

10.  Premutation allele pool in myotonic dystrophy type 2.

Authors:  L L Bachinski; T Czernuszewicz; L S Ramagli; T Suominen; M D Shriver; B Udd; M J Siciliano; R Krahe
Journal:  Neurology       Date:  2008-11-19       Impact factor: 9.910

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  31 in total

1.  Clinical trials in rare disease: challenges and opportunities.

Authors:  Erika F Augustine; Heather R Adams; Jonathan W Mink
Journal:  J Child Neurol       Date:  2013-09       Impact factor: 1.987

2.  Diagnostic odyssey of patients with myotonic dystrophy.

Authors:  James E Hilbert; Tetsuo Ashizawa; John W Day; Elizabeth A Luebbe; William B Martens; Michael P McDermott; Rabi Tawil; Charles A Thornton; Richard T Moxley
Journal:  J Neurol       Date:  2013-06-27       Impact factor: 4.849

3.  Myotonic dystrophy health index: Correlations with clinical tests and patient function.

Authors:  Chad Heatwole; Rita Bode; Nicholas E Johnson; Jeanne Dekdebrun; Nuran Dilek; Katy Eichinger; James E Hilbert; Eric Logigian; Elizabeth Luebbe; William Martens; Michael P Mcdermott; Shree Pandya; Araya Puwanant; Nan Rothrock; Charles Thornton; Barbara G Vickrey; David Victorson; Richard T Moxley
Journal:  Muscle Nerve       Date:  2015-12-29       Impact factor: 3.217

4.  Pigmentation phenotype, photosensitivity and skin neoplasms in patients with myotonic dystrophy.

Authors:  S M Gadalla; J E Hilbert; W B Martens; S Givens; R T Moxley; M H Greene
Journal:  Eur J Neurol       Date:  2017-03-20       Impact factor: 6.089

5.  Medication adherence in patients with myotonic dystrophy and facioscapulohumeral muscular dystrophy.

Authors:  Bryan P Fitzgerald; Kelly M Conn; Joanne Smith; Andrew Walker; Amy L Parkhill; James E Hilbert; Elizabeth A Luebbe; Richard T Moxley
Journal:  J Neurol       Date:  2016-10-12       Impact factor: 4.849

6.  Parent-reported multi-national study of the impact of congenital and childhood onset myotonic dystrophy.

Authors:  Nicholas E Johnson; Anne-Berit Ekstrom; Craig Campbell; Man Hung; Heather R Adams; Wei Chen; Elizabeth Luebbe; James Hilbert; Richard T Moxley; Chad R Heatwole
Journal:  Dev Med Child Neurol       Date:  2015-10-28       Impact factor: 5.449

7.  Pain location and intensity impacts function in persons with myotonic dystrophy type 1 and facioscapulohumeral dystrophy with chronic pain.

Authors:  Jordi Miró; Kevin J Gertz; Gregory T Carter; Mark P Jensen
Journal:  Muscle Nerve       Date:  2014-06       Impact factor: 3.217

Review 8.  Can outcomes in Duchenne muscular dystrophy be improved by public reporting of data?

Authors:  Michele A Scully; Valerie A Cwik; Bruce C Marshall; Emma Ciafaloni; Jodi M Wolff; Thomas S Getchius; Robert C Griggs
Journal:  Neurology       Date:  2013-02-05       Impact factor: 9.910

9.  Towards a European Registry and Biorepository for Patients with Spinal and Bulbar Muscular Atrophy.

Authors:  Davide Pareyson; Pietro Fratta; Pierre-François Pradat; Gianni Sorarù; Josef Finsterer; John Vissing; Manu E Jokela; Bjarne Udd; Albert C Ludolph; Anna Sagnelli; Patrick Weydt
Journal:  J Mol Neurosci       Date:  2016-01-07       Impact factor: 3.444

10.  Development of a genomic DNA reference material panel for myotonic dystrophy type 1 (DM1) genetic testing.

Authors:  Lisa Kalman; Jack Tarleton; Monica Hitch; Madhuri Hegde; Nick Hjelm; Elizabeth Berry-Kravis; Lili Zhou; James E Hilbert; Elizabeth A Luebbe; Richard T Moxley; Lorraine Toji
Journal:  J Mol Diagn       Date:  2013-05-13       Impact factor: 5.568

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