Literature DB >> 21880229

Creation of the Web-based University of Chicago Monogenic Diabetes Registry: using technology to facilitate longitudinal study of rare subtypes of diabetes.

Siri Atma W Greeley1, Rochelle N Naylor, Lindsay S Cook, Susan E Tucker, Rebecca B Lipton, Louis H Philipson.   

Abstract

BACKGROUND: Monogenic diabetes is a group of disorders caused by mutations in any one of a number of genes. Although a monogenic diagnosis--estimated to represent as much as 2% of all diabetes patients--can have a transformational impact on treatment, the majority of monogenic cases remain unidentified and little is known about their natural history. We thus created the first United States Monogenic Diabetes Registry (http://www.kovlerdiabetescenter.org/registry/) for individuals with either neonatal diabetes diagnosed before 1 year of age or with a phenotype suggestive of maturity-onset diabetes of the young.
METHODS: Inclusion criteria and consent documents are viewable on our Web site, which allows secure collection of contact information to facilitate telephone consent and enrollment. Relevant medical, family, and historical data are collected longitudinally from a variety of sources and stored in our Web-accessible secure database.
RESULTS: We have enrolled well over 700 subjects in the registry so far, with steady recruitment of those diagnosed under 1 year of age and increasing enrollment of those diagnosed later in life. Initially, participants were mostly self-referred but are increasingly being referred by their physicians. Comprehensive survey and medical records data are collected at enrollment, with ongoing collection of longitudinal data. Associated private Facebook and email discussion groups that we established have already fostered active participation.
CONCLUSIONS: Our early success with the Monogenic Diabetes Registry demonstrates the effectiveness of low-cost Web-based tools, including surveys, the Research Electronic Data Capture database program, and discussion groups, for efficient enrollment and support of rare patients, and collection and maintenance of their data.
© 2011 Diabetes Technology Society.

Entities:  

Mesh:

Year:  2011        PMID: 21880229      PMCID: PMC3192593          DOI: 10.1177/193229681100500409

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  10 in total

Review 1.  Molecular mechanisms and clinical pathophysiology of maturity-onset diabetes of the young.

Authors:  S S Fajans; G I Bell; K S Polonsky
Journal:  N Engl J Med       Date:  2001-09-27       Impact factor: 91.245

2.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

Review 3.  The diagnosis and management of monogenic diabetes in children and adolescents.

Authors:  Andrew Hattersley; Jan Bruining; Julian Shield; Pal Njolstad; Kim C Donaghue
Journal:  Pediatr Diabetes       Date:  2009-09       Impact factor: 4.866

Review 4.  Neonatal diabetes mellitus: a model for personalized medicine.

Authors:  Siri Atma W Greeley; Susan E Tucker; Rochelle N Naylor; Graeme I Bell; Louis H Philipson
Journal:  Trends Endocrinol Metab       Date:  2010-04-29       Impact factor: 12.015

Review 5.  Update in neonatal diabetes.

Authors:  Siri Atma W Greeley; Susan E Tucker; Helen I Worrell; Kinga B Skowron; Graeme I Bell; Louis H Philipson
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2010-02       Impact factor: 3.243

6.  Incidence of neonatal diabetes in Austria-calculation based on the Austrian Diabetes Register.

Authors:  Barbara Wiedemann; Edith Schober; Thomas Waldhoer; Julia Koehle; Sarah E Flanagan; Deborah Jg Mackay; Elisabeth Steichen; Dagmar Meraner; Lothar-Bernd Zimmerhackl; Andrew T Hattersley; Sian Ellard; Sabine Hofer
Journal:  Pediatr Diabetes       Date:  2009-06-03       Impact factor: 4.866

7.  Prevalence of HNF1A (MODY3) mutations in a Norwegian population (the HUNT2 Study).

Authors:  S A Eide; H Raeder; S Johansson; K Midthjell; O Søvik; P R Njølstad; A Molven
Journal:  Diabet Med       Date:  2008-07       Impact factor: 4.359

Review 8.  Clinical implications of a molecular genetic classification of monogenic beta-cell diabetes.

Authors:  Rinki Murphy; Sian Ellard; Andrew T Hattersley
Journal:  Nat Clin Pract Endocrinol Metab       Date:  2008-02-26

9.  Referral rates for diagnostic testing support an incidence of permanent neonatal diabetes in three European countries of at least 1 in 260,000 live births.

Authors:  A S Slingerland; B M Shields; S E Flanagan; G J Bruining; K Noordam; A Gach; W Mlynarski; M T Malecki; A T Hattersley; S Ellard
Journal:  Diabetologia       Date:  2009-06-05       Impact factor: 10.122

10.  Best practice guidelines for the molecular genetic diagnosis of maturity-onset diabetes of the young.

Authors:  S Ellard; C Bellanné-Chantelot; A T Hattersley
Journal:  Diabetologia       Date:  2008-02-23       Impact factor: 10.122

  10 in total
  18 in total

1.  Age at the time of sulfonylurea initiation influences treatment outcomes in KCNJ11-related neonatal diabetes.

Authors:  Brian W Thurber; David Carmody; Elizabeth C Tadie; Ashley N Pastore; Jazzmyne T Dickens; Kristen E Wroblewski; Rochelle N Naylor; Louis H Philipson; Siri Atma W Greeley
Journal:  Diabetologia       Date:  2015-04-17       Impact factor: 10.122

2.  Management and pregnancy outcomes of women with GCK-MODY enrolled in the US Monogenic Diabetes Registry.

Authors:  Laura T Dickens; Lisa R Letourneau; May Sanyoura; Siri Atma W Greeley; Louis H Philipson; Rochelle N Naylor
Journal:  Acta Diabetol       Date:  2018-12-11       Impact factor: 4.280

3.  The Impact of Biomarker Screening and Cascade Genetic Testing on the Cost-Effectiveness of MODY Genetic Testing.

Authors:  Matthew S GoodSmith; M Reza Skandari; Elbert S Huang; Rochelle N Naylor
Journal:  Diabetes Care       Date:  2019-09-26       Impact factor: 19.112

4.  GCK-MODY in the US National Monogenic Diabetes Registry: frequently misdiagnosed and unnecessarily treated.

Authors:  David Carmody; Rochelle N Naylor; Charles D Bell; Shivani Berry; Jazzmyne T Montgomery; Elizabeth C Tadie; Jessica L Hwang; Siri Atma W Greeley; Louis H Philipson
Journal:  Acta Diabetol       Date:  2016-04-22       Impact factor: 4.280

5.  An online monogenic diabetes discussion group: supporting families and fueling new research.

Authors:  Marie E Perrone; David Carmody; Louis H Philipson; Siri Atma W Greeley
Journal:  Transl Res       Date:  2015-06-28       Impact factor: 7.012

6.  Hypoglycemia in sulfonylurea-treated KCNJ11-neonatal diabetes: Mild-moderate symptomatic episodes occur infrequently but none involving unconsciousness or seizures.

Authors:  Monica S Lanning; David Carmody; Łukasz Szczerbiński; Lisa R Letourneau; Rochelle N Naylor; Siri Atma W Greeley
Journal:  Pediatr Diabetes       Date:  2017-12-05       Impact factor: 4.866

7.  Continued lessons from the INS gene: an intronic mutation causing diabetes through a novel mechanism.

Authors:  David Carmody; Soo-Young Park; Honggang Ye; Marie E Perrone; G Alkorta-Aranburu; Heather M Highland; Craig L Hanis; Louis H Philipson; Graeme I Bell; Siri Atma W Greeley
Journal:  J Med Genet       Date:  2015-06-22       Impact factor: 6.318

8.  Sulfonylurea treatment before genetic testing in neonatal diabetes: pros and cons.

Authors:  David Carmody; Charles D Bell; Jessica L Hwang; Jazzmyne T Dickens; Daniela I Sima; Dania L Felipe; Carrie A Zimmer; Ajuah O Davis; Kateryna Kotlyarevska; Rochelle N Naylor; Louis H Philipson; Siri Atma W Greeley
Journal:  J Clin Endocrinol Metab       Date:  2014-12       Impact factor: 5.958

9.  ADHD, learning difficulties and sleep disturbances associated with KCNJ11-related neonatal diabetes.

Authors:  Karen A Landmeier; Monica Lanning; David Carmody; Siri Atma W Greeley; Michael E Msall
Journal:  Pediatr Diabetes       Date:  2016-08-24       Impact factor: 4.866

10.  Development of a Web-Based Registry to Support Diabetes Care in Free Medical Clinics.

Authors:  Norman McFadden; Bryan Daniel; Robert Hoyt; Dallas Snider
Journal:  Perspect Health Inf Manag       Date:  2017-01-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.