We are using the breast cancer definition used by the eMERGE program, with some slight modifications. Follow this document for implementation.
Modifications:
We will only include cis females in the analyses
The standard definition requires controls be age 18+. If the age distribution of cases within a study is much older (e.g. 30+), then studies may filter controls based on age >= the minimum age of identified cases
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.
Algorithm for coronary heart disease (aka coronary artery disease) based on research done by the eMERGE Network. Cases are ascertained by either two ocurrences of diagnostic codes or one ocurrence of a procedural code. Defined as individuals with no diagnostic or procedural codes recorded. All ICD-9 and ICD-10 codes are labeled as diagnostic or procedural in the attached excel file.
Background: Febrile neutropenia (FN) is a serious complication of myelosuppressive chemotherapy, defined by fever occurring in the context of neutropenia. Prompt recognition and treatment are essential to reduce morbidity and mortality. This algorithm focuses on "high-risk" FN as defined in the ‘Early versus Late Stopping of Antibiotics in high-risk FN’ (ELSA-FN) randomised control trial as expected absolute neutrophil count (ANC) <500 cells/mm3 for ≥7 days.
We are using the prostate cancer definition used by the eMERGE program, with a slight modification to the control definition (prostate_cancer_status_emerge_mod_1). You can review the eMERGE documentation for reference, but please follow this document for implementation.
Modifications:
Combine “Control A” and “Control B” groups from the provided schematic figure into a single control group for analysis
Controls should be filtered based on age >= the minimum age of identified cases to the age distributions of cases and controls are comparable within each study
There are two case algorithms provided for T2D. The first (t2d_dprism_ehr_plus_1) is the preferred case algorithm and includes self-reported T2D information collected from survey. The second (t2d_dprism_ehr_1) is an alternative case algorithm that does NOT include self-reported T2D information collected from survey.
We request harmonization based on the preferred algorithm, but if self-reported T2D survey information is not available, the alternative algorithm is acceptable.