ArticleDiabetologia2012
To test, or not to test: time for a MODY calculator?
Article in Diabetologia, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Challenges in diagnosis and treatment of KCNJ11-MODY.Endocrinology, diabetes & metabolism case reports · 2024Article
- Low genetic confirmation rate in South Indian subjects with a clinical diagnosis of maturity-onset diabetes of the young (MODY) who underwent targeted next-generation sequencing for 13 genes.Journal of endocrinological investigation · 2022Article
- Identification of NovelJournal of diabetes research · 2021Article
- Clinical implications of the glucokinase impaired function - GCK MODY today.Physiological research · 2020Review
- Genetics and Pathophysiology of Maturity-onset Diabetes of the Young (MODY): A Review of Current Trends.Oman medical journal · 2020Review
- MODY Probability Ratios in Patients Diagnosed with Type 2 Diabetes Mellitus at a Young Age.Medeniyet medical journal · 2020Article
- Developing a framework for implementation of genetic services: learning from examples of testing for monogenic forms of common diseases.Journal of community genetics · 2014Article
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Abstract
To test, or not to test, that is often the question in diabetes genetics. This is why the paper of Shields et al in the current issue of Diabetologia is so warmly welcomed. MODY is the most common form of monogenic diabetes. Nevertheless, the optimal way of identifying MODY families still poses a challenge both for researchers and clinicians. Hattersley's group in Exeter, UK, have developed an easy-to-use MODY prediction model that can help to identify cases appropriate for genetic testing. By answering eight simple questions on the internet ( www.diabetesgenes.org/content/mody-probability-calculator ), the doctor receives a positive predictive value in return: the probability that the patient has MODY. Thus, the classical binary (yes/no) assessment provided by clinical diagnostic criteria has been substituted by a more rational, quantitative estimate. The model appears to discriminate well between MODY and type 1 and type 2 diabetes when diabetes is diagnosed before the age of 35 years. However, the performance of the MODY probability calculator should now be validated in other settings than where it was developed-and, as always, there is room for some improvements and modifications.
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