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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

service. Each individual was observed for 48 months ( Figure 1 ). Figure 1. Schematic of the study design. Each individual was observed for 48 months with a 24-month baseline (for identification of CAD and baseline characteristics), 12-month preindex, and

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

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

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

( 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