Literature DB >> 23252904

Patient registries: useful tools for clinical research in myasthenia gravis.

Fulvio Baggi1, Renato Mantegazza, Carlo Antozzi, Donald Sanders.   

Abstract

Clinical registries may facilitate research on myasthenia gravis (MG) in several ways: as a source of demographic, clinical, biological, and immunological data on large numbers of patients with this rare disease; as a source of referrals for clinical trials; and by allowing rapid identification of MG patients with specific features. Physician-derived registries have the added advantage of incorporating diagnostic and treatment data that may allow comparison of outcomes from different therapeutic approaches, which can be supplemented with patient self-reported data. We report the demographic analysis of MG patients in two large physician-derived registries, the Duke MG Patient Registry, at the Duke University Medical Center, and the INNCB MG Registry, at the Istituto Neurologico Carlo Besta, as a preliminary study to assess the consistency of the two data sets. These registries share a common structure, with an inner core of common data elements (CDE) that facilitate data analysis. The CDEs are concordant with the MG-specific CDEs developed under the National Institute of Neurological Disorders and Stroke Common Data Elements Project.
© 2012 New York Academy of Sciences.

Entities:  

Mesh:

Year:  2012        PMID: 23252904     DOI: 10.1111/j.1749-6632.2012.06771.x

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  2 in total

Review 1.  Precision medicine in myasthenia graves: begin from the data precision.

Authors:  Hai-Feng Li; Yu Hong; Yanchen Xie; Hong-Jun Hao; Ren-Cheng Sun
Journal:  Ann Transl Med       Date:  2016-03

2.  The Preterm Clinical Network (PCN) Database: a web-based systematic method of collecting data on the care of women at risk of preterm birth.

Authors:  Jenny Carter; Rachel M Tribe; Jane Sandall; Andrew H Shennan
Journal:  BMC Pregnancy Childbirth       Date:  2018-08-17       Impact factor: 3.007

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.