University of Iowa

Computable Phenotypes for Identifying Patients with Lung and Gastroenteropancreatic Neuroendocrine Tumors in PCORnet

This phenotype specification supports the identification of patients with lung and gastroenteropancreatic (GEP) neuroendocrine tumors (NETs) for the Neuroendocrine Tumors- Patient-Reported Outcomes Study (NET-PRO) - a multi-site, patient-centered outcomes research initiative (PCORI) funded study (RD-2020C2-20329) conducted within PCORnet.

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RxNorm RxCUI codes for Cancer Therapies

This phenotype includes RxNorm RxCUI codes for cancer therapies. These codes map to drug records in the PCORnet Common Data Model and other data sources. The phenotype was developed in 2019. Please see the associated files for additional information. 

The development of this phenotype was supported by a Patient-Centered Outcomes Research Institute (PCORI) Award (No. CDRN-1306-04631) for the development of the national patient-centered clinical research network, known as PCORnet.

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