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首页> 外文期刊>BMC Medical Informatics and Decision Making >A novel method for studying the temporal relationship between type 2 diabetes mellitus and cancer using the electronic medical record
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A novel method for studying the temporal relationship between type 2 diabetes mellitus and cancer using the electronic medical record

机译:一种新的研究2型糖尿病和癌症的时间关系使用电子病历

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Background We developed an algorithm for the identification of patients with type 2 diabetes and ascertainment of the date of diabetes onset for examination of the temporal relationship between diabetes and cancer using data in the electronic medical record (EMR). Methods The Marshfield Clinic EMR was searched for patients who developed type 2 diabetes between January 1, 1995 and December 31, 2009 using a combination of diagnostic codes and laboratory data. Subjects without diabetes were also identified and matched to subjects with diabetes by age, gender, smoking history, residence, and date of diabetes onset/reference date. Results The final cohort consisted of 11,236 subjects with and 54,365 subjects without diabetes. Stringent requirements for laboratory values resulted in a decrease in the number of potential subjects by nearly 70%. Mean observation time in the EMR was similar for both groups with 13—14?years before and 5–7 years after the reference date. The two cohorts were largely similar except that BMI and frequency of healthcare encounters were greater in subjects with diabetes. Conclusion The cohort described here will be useful for the examination of the temporal relationship between diabetes and cancer and is unique in that it allows for determination of the date of diabetes onset with reasonable accuracy.
机译:背景技术我们开发了一种识别患有2型糖尿病患者的算法,并确定使用电子病历中数据(EMR)中数据进行糖尿病和癌症之间的时间关系的糖尿病日期。方法采用诊断代码和实验室数据的组合,搜查了Marshfield Clinic EMR的患者在1995年1月1日至2009年12月31日之间开发2型糖尿病患者。还鉴定了没有糖尿病的受试者,并与年龄,性别,吸烟历史,住所和糖尿病发病/参考日期的受试者匹配。结果最终队列由11,236名受试者组成,54,365名受试者,没有糖尿病。实验室值的严格要求导致潜在科目的数量减少近70%。在参考日期之后,EMR中的平均观察时间与两组有13-14岁以前和5 - 7年相似。除了糖尿病的受试者中,两种队列在很大程度上是相似的,除了BMI和医疗保健遭遇的频率更大。结论这里描述的队列将用于检查糖尿病和癌症之间的时间关系,并且是独一无二的,因为它允许以合理的准确度确定糖尿病的日期。

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