Validation of Algorithms to Identify Pancreatic Cancer and Thyroid Neoplasms From Health Insurance Claims Data in a 10-Year Follow-Up Study Caihua Liang, MD, PhD1*; Monica L Bertoia, MPH, PhD1; C Robin Clifford, MS1; Yan Ding, MSc1; Qing Qiao, MD, PhD2; Joshua J Gagne, PharmD, ScD1,3; David D Dore, PharmD, PhD1 1Optum Epidemiology, Boston, MA/Ann Arbor, MI, USA; 2Global Medical Affair AstraZeneca, Gothenburg, Sweden; 3Division of Pharmacoepidemiology, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, USA. *Corresponding author:
[email protected]. This study was funded through a research contract between Optum Epidemiology and AstraZeneca. Background Methods (cont.) Identification of cancer events in health insurance claims data can be Figure 1. Pancreatic cancer and thyroid neoplasm relaxed and restricted challenging and subject to misclassification. Given the low incidence of algorithms certain cancers, robust performance evaluation requires a large sample size PANCREATIC CANCER THYROID NEOPLASMS with long-term follow-up. ICD-9 Codes ICD-9 Codes (Malignant neoplasm of …) 193 Malignant neoplasm of thyroid gland 157.X … pancreas 226 Benign neoplasm of thyroid gland Objective 157.0 … head of pancreas 157.1 … body of pancreas Thyroid Cancer Benign Thyroid Neoplasm To validate algorithms for potential incident pancreatic cancer and thyroid 157.2 … tail of pancreas neoplasms in a 10-year follow-up study using a health insurance claims 157.3 … pancreatic duct Restricted Algorithm: Restricted Algorithm: 157.4 … islets of Langerhans a+b+c a+b+c database. 157.8 … other specified sites of Relaxed Algorithm: Relaxed Algorithm: pancreas a+b or a+c a+b or a+c 157.9 … pancreas, part unspecified Data Source a.