A novel method for studying the temporal relationship between type 2 diabetes mellitus and cancer using the electronic medical record

Onitilo, Adedayo A., Stankowski, Rachel V., Berg, Richard L., Engel, Jessica M., Williams, Gail M. and Doi, Suhail A. (2014) A novel method for studying the temporal relationship between type 2 diabetes mellitus and cancer using the electronic medical record. BMC Medical Informatics and Decision Making, 14 1: . doi:10.1186/1472-6947-14-38


Author Onitilo, Adedayo A.
Stankowski, Rachel V.
Berg, Richard L.
Engel, Jessica M.
Williams, Gail M.
Doi, Suhail A.
Title A novel method for studying the temporal relationship between type 2 diabetes mellitus and cancer using the electronic medical record
Journal name BMC Medical Informatics and Decision Making   Check publisher's open access policy
ISSN 1472-6947
Publication date 2014-05-09
Year available 2014
Sub-type Article (original research)
DOI 10.1186/1472-6947-14-38
Open Access Status DOI
Volume 14
Issue 1
Total pages 9
Place of publication London, United Kingdom
Publisher BioMed Central Ltd.
Language eng
Subject 2718 Health Informatics
2719 Health Policy
Abstract 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.
Keyword Cancer
Electronic medical record
Method
Pre diabetes
Type 2 diabetes mellitus
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
School of Public Health Publications
 
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