The radiation oncology community has witnessed growing interest in observational research
conducted using large-scale data sources such as registries and claims-based data sets …

The rapid evolution of machine learning has led to a proliferation of sophisticated models for
predicting therapeutic responses in cancer. While many of these show promise in research …

Background Immune checkpoint inhibitors (ICIs) can cause life-threatening cardiovascular
adverse events (CVAEs) that may not be attributed to therapy. The outcomes of clinical trials …

Abstract Purpose An International Classification of Disease (ICD‐10) Charlson Comorbidity
Index (CCI) adaptation had not been previously developed and validated for United States …

Objective To define the accuracy of administrative datasets to identify primary diagnoses of
breast cancer based on the International Classification of Diseases (ICD) 9th or 10th …

Background There have been recurrent shortages of group O blood due to insufficient
inventory and use of group O blood in ABO non‐identical recipients. We performed a 12 …

Objective: To assess the validity of a treatments-and tests-based Case-Finding Algorithm for
identifying patients with non-small cell lung cancer (NSCLC) from claims databases. Data …

Identifying multiple myeloma patients using data from the Fr... : Medicine Identifying multiple
myeloma patients using data from the French health insurance databases: Validation using a …

Some concerns have emerged about the evidence of benefits on survival outcomes or
quality of life of new anticancer drugs. In parallel, the decreased cancer mortality leads to an …

Background Incidence rates of advanced cancer stages are important, eg, for monitoring
cancer screening programs. However, information from cancer registries on tumor stage is …