| Can we really predict IDDM? | |
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MedLine Citation:
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PMID: 8425658 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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P J Bingley; E Bonifacio; E A Gale |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't; Review |
Journal Detail:
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Title: Diabetes Volume: 42 ISSN: 0012-1797 ISO Abbreviation: Diabetes Publication Date: 1993 Feb |
Date Detail:
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Created Date: 1993-03-02 Completed Date: 1993-03-02 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 0372763 Medline TA: Diabetes Country: UNITED STATES |
Other Details:
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Languages: eng Pagination: 213-20 Citation Subset: AIM; IM |
Affiliation:
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Department of Diabetes and Metabolism, St. Bartholomew's Hospital, London, United Kingdom. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Autoantibodies
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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:
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0/Autoantibodies; 0/Biological Markers; 0/Genetic Markers; 0/islet cell antibody |
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