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
Search Results
Caijin Lin, Jiayi Wu, Shuning Ding, Chihwan Goh, Lisa Andriani, Shuangshuang Lu, Kunwei Shen, and Li Zhu
Gary S. Rogers
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
Amy Waller, Rob Sanson-Fisher, Nicholas Zdenkowski, Charles Douglas, Alix Hall, and Justin Walsh
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
En Cheng, Peiyin Hung, and Shi-Yi Wang
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
Adam J. Kole, John M. Stahl, Henry S. Park, Sajid A. Khan, and Kimberly L. Johung
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
Antonio Di Meglio, Nancy U. Lin, Rachel A. Freedman, William T. Barry, Eric P. Winer, and Ines Vaz-Luis
−. 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
Estanislao Arana, Francisco M. Kovacs, Ana Royuela, Beatriz Asenjo, Fatima Nagib, Sandra Pérez-Aguilera, María Dejoz, Alberto Cabrera-Zubizarreta, Yolanda García-Hidalgo, Ana Estremera, and for the Spanish Back Pain Research Network Task Force for the Improvement of Inter-Disciplinary Management of Spinal Metastasis
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
Christina Signorelli, Claire E. Wakefield, Karen A. Johnston, Joanna E. Fardell, Jordana K McLoone, Mary-Ellen E. Brierley, Maria Schaffer, Elysia Thornton-Benko, Afaf Girgis, W. Hamish Wallace, Richard J. Cohn, and on behalf of the BSU Implementation Group
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
Erin E. Hahn, Michael K. Gould, Corrine E. Munoz-Plaza, Janet S. Lee, Carla Parry, and Ernest Shen
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
Ishveen Chopra, Malcolm D. Mattes, Patricia Findley, Xi Tan, Nilanjana Dwibedi, and Usha Sambamoorthi
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
