Importance Including race and ethnicity as a predictor in clinical risk prediction algorithms
has received increased scrutiny, but there continues to be a lack of empirical studies …

Background Exact numbers of breast cancer recurrences are currently unknown at the
population level, because they are challenging to actively collect. Previously, real-world data …

Although randomized controlled trials (RCTs) are the gold standard for establishing the
efficacy and safety of a medical treatment, real-world evidence (RWE) generated from real …

PURPOSE Electronic medical records (EMRs) and population-based cancer registries
contain information on cancer outcomes and treatment, yet rarely capture information on the …

Background Recurrence is not explicitly documented in cancer registry data that are widely
used for research. Patterns of events after initial treatment such as oncology visits, re …

Importance Despite recent breakthroughs in therapy, advanced lung cancer still poses a
therapeutic challenge. The survival profile of patients with metastatic lung cancer remains …

Background This study developed, validated, and disseminated a generalizable informatics
algorithm for detecting breast cancer recurrence and timing using a gold standard measure …

Background: Population-based metastatic recurrence rates for patients diagnosed with
nonmetastatic colorectal cancer cannot be estimated directly from population-based cancer …

Background: Population-representative risks of metastatic recurrence are not generally
available because cancer registries do not collect data on recurrence. This article presents a …

While there exist numerous methods to identify binary phenotypes (ie COPD) using
electronic health record (EHR) data, few exist to ascertain the timings of phenotype events …