Document Detail


Can we really predict IDDM?
MedLine Citation:
PMID:  8425658     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Risk of progression to IDDM has been assessed extensively in first-degree relatives of IDDM patients, and highly specific prediction is possible within a small subset of this population. Because approximately 90% of future cases will come from those who have no close relative with IDDM, prediction and intervention within the general population will become the main priority for the future. This review presents a decision tree analysis of risk of progression to IDDM, highlights the different prognosis of markers when applied to those with and without a family history of the disease, and proposes a strategy for disease prediction in the latter. Large collaborative studies in well-characterized populations will allow new predictive markers and models to be evaluated, and strategies of intervention to be tested with maximum efficiency and minimal delay.
Authors:
P J Bingley; E Bonifacio; E A Gale
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Review    
Journal Detail:
Title:  Diabetes     Volume:  42     ISSN:  0012-1797     ISO Abbreviation:  Diabetes     Publication Date:  1993 Feb 
Date Detail:
Created Date:  1993-03-02     Completed Date:  1993-03-02     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0372763     Medline TA:  Diabetes     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  213-20     Citation Subset:  AIM; IM    
Affiliation:
Department of Diabetes and Metabolism, St. Bartholomew's Hospital, London, United Kingdom.
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MeSH Terms
Descriptor/Qualifier:
Autoantibodies / blood*
Biological Markers / blood
Child
Diabetes Mellitus, Type 1 / diagnosis*,  epidemiology,  genetics
Family
Genetic Markers
Humans
Incidence
Islets of Langerhans / immunology
Prevalence
Risk Factors
Chemical
Reg. No./Substance:
0/Autoantibodies; 0/Biological Markers; 0/Genetic Markers; 0/islet cell antibody

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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