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Member Institution. Data collection includes patient, disease, and treatment characteristics that are manually abstracted from medical records by trained data managers at each participating site. Data are abstracted for each patient in 6-month intervals

resection and consideration of adjuvant chemotherapy (AC) based on patient and tumor characteristics. The role of AC in colon cancer is supported by the results of NSABP C01, 1 a pooled analysis, 2 and the MOSAIC trial 3 showing improvement in disease

clinical variables. R version 3.6.1 (R Foundation for Statistical Computing) was used for statistical analyses. Results Patient Characteristics From 2001 through 2019, 68 clinical trials conducted at Gustave Roussy and Memorial Sloan Kettering

assessed at the time of primary publication and at 3 years post-FDA approval using all publicly available data in eligible subsequent publications. Results Characteristics of Included Studies Of 113 indications that met the eligibility criteria, there were

characteristics (year 1 sociodemographic features, insurance status, usual source of care, comorbidity count, smoking status, active treatment status, tertile of office visits, any ED visits, and any inpatient care) and membership of the highest satisfaction

Background Clinical decision support (CDS) systems include any electronic system designed to directly aid clinical decision-making by using individual patient characteristics to generate patient-specific assessments or recommendations. 1 , 2 These

, collecting detailed information on tumor characteristics and treatments. 15 , 16 The Swedish Prescribed Drug Register (SPDR) is a nationwide database that records all dispensed prescription drugs in pharmacies since July 2005, with <0.3% of data missing. 17

( Table 3 ). Nearly half (46%) had Medicaid or other public insurance, and 54% lived in a low-income zip code (median income ≤200% FPL). Nearly half of caregivers were college graduates (46%). Table 2. AYA Caregiver Characteristics Table

physical activity. Because placement in the PADT group was strongly associated with patient characteristics, we used PSM analysis to balance covariates between the groups. We stratified by age and summary cancer stages to account for the clinical

treatment characteristics, such as date of diagnosis, age at diagnosis, sex, body mass index, comorbidities, ECOG performance status, pathologic diagnosis, tumor location, tumor stage (according to AJCC, 7th edition), tumor size, tumor differentiation grade