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characteristics could not be determined. Patients with Child-Pugh C cirrhosis and those with poor performance status were also excluded, because surveillance is not recommended in these patients. This study was approved by the Institutional Review Board at UT

reported on the use of a hematoporphyrin derivative to treat a person with metastatic chest wall breast cancer. Table 1 lists the characteristics of 3 photosensitizers: porfimer sodium (Photofrin), 5-aminolevulinic acid (ALA), and mTHPC ( meso -tetra

to be able to die in the location of my choice (eg, at home, hospital, hospice, other),” with options ranging from strongly disagree to strongly agree. Sociodemographic and Clinical Characteristics: Sociodemographic and clinical characteristics

characteristics, and comorbidities were associated with survival among patients with HCC. Methods Data Source and Population We established a population-based retrospective cohort study using the SEER-Medicare linked database. The SEER program is an authoritative

Station, TX). Table 1. Patient Cohort Demographic and Clinicopathologic Characteristics Results Within the NCDB, we identified 3,370 patients from 2004 to 2012 with histologically confirmed clinical T1N0 anal canal carcinoma

than stage IV, unknown demographic characteristics and follow-up, or unknown involvement of bone, brain, liver, or lung, and those diagnosed at autopsy or via death certificate were excluded. Eligible patients were divided randomly into the training or

−. Patients with >1 disease site were assigned to the category of the first site listed, according to a prespecified ranking system defined by importance. Table 1. Patient Demographics and Clinicopathologic Characteristics (n=302) Central

years. Table 1 also shows the characteristics of the 203 patients whose clinical histories and images were selected for the study and of the 25 readers who interpreted their data. Table 1. Sample Characteristics As Table 2 shows, interobserver

adjusted for multiple pairwise comparisons between comorbidity classes by using the Bonferroni correction. Table 1. Patient Characteristics, Cancer Treatment, and Comorbidities Results We identified 7,803 patients with CRC ( Table 1

summarize sample characteristics, analyze feasibility/acceptability, and summarize secondary outcomes. We compared self-efficacy scores preintervention and postintervention using multilevel models (MIXED function). Results Of 36 eligible and contactable