生命银行
医学
2型糖尿病
糖尿病
病历
入射(几何)
家庭医学
队列研究
老年学
内科学
生物信息学
内分泌学
物理
光学
生物
作者
Sophie V. Eastwood,Rohini Mathur,M. D. Atkinson,Sinéad Brophy,Cathie Sudlow,Robin Flaig,Simon de Lusignan,Naomi E. Allen,Nish Chaturvedi
出处
期刊:PLOS ONE
[Public Library of Science]
日期:2016-09-15
卷期号:11 (9): e0162388-e0162388
被引量:482
标识
DOI:10.1371/journal.pone.0162388
摘要
For prevalent diabetes, 0.001% and 0.002% of people classified as "diabetes unlikely" in UK Biobank had evidence of diabetes in their primary or secondary care record respectively. Of those classified as "probable" type 2 diabetes, 75% and 96% had specific type 2 diabetes codes in their primary and secondary care records. For incidence, 95% of people with the type 2 diabetes-specific C10F Read code in primary care had corroborative evidence of diabetes from medications, blood testing or diabetes specific process of care codes. Only 41% of people identified with type 2 diabetes in primary care had secondary care evidence of type 2 diabetes. In contrast, of incident cases using ICD-10 type 2 diabetes specific codes in secondary care, 77% had corroborative evidence of diabetes in primary care. We suggest our definition of prevalent diabetes from UK Biobank baseline data has external validity, and recommend that specific primary care Read codes should be used for incident diabetes to ensure precision. Secondary care data should be used for incident diabetes with caution, as around half of all cases are missed, and a quarter have no corroborative evidence of diabetes in primary care.
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