Search Results

You are looking at 171 - 180 of 1,309 items for :

  • "characteristics" x
  • Refine by Access: Content accessible to Me x
Clear All
Full access

Julie Hallet, Calvin Law, Simron Singh, Alyson Mahar, Sten Myrehaug, Victoria Zuk, Haoyu Zhao, Wing Chan, Angela Assal, and Natalie Coburn

the burden of cancer on mortality for patients with NETs remains scarce. NETs are a heterogeneous malignancy with variable biologic, clinical, and prognostic characteristics. There is an evolving need to adapt treatment plans to their unique biology

Full access

Renata R. Urban, Hao He, Rafael Alfonso-Cristancho, Melissa M. Hardesty, and Barbara A. Goff

, Patient Characteristics, and Treatment Identification This study identified all women older than 65 years diagnosed with ovarian cancer (n=26,379) in SEER cancer registries from January 1, 1995, to December 31, 2007. Women were excluded if they had a

Full access

Reith R. Sarkar, Katherine E. Fero, Daniel M. Seible, Neil Panjwani, Rayna K. Matsuno, and James D. Murphy

. Analyses were conducted using SAS 9.4 (SAS Institute Inc). Results Cohort Characteristics Of the 21,500 patients in the study cohort, 11,298 (52.5%) presented with metastatic disease, 3,092 (14.4%) were in the resectable group, and 7,110 (33.1%) were in the

Full access

Michael Xiang and Elizabeth A. Kidd

-Medicare linkage, patient follow-up was through December 2014. Statistical Analysis Baseline characteristics were compared using the chi-square or Wilcoxon rank-sum test. Multivariable logistic regression was used to identify predictors for receiving cisplatin

Full access

Estanislao Arana, Francisco M. Kovacs, Ana Royuela, Beatriz Asenjo, Úrsula Pérez-Ramírez, Javier Zamora, and the Spanish Back Pain Research Network Task Force for the Improvement of Inter-Disciplinary Management of Spinal Metastasis

in 182 spinal segments. Table 1 shows sample characteristics. Table 1 Sample Characteristics There were more than 5 readers for each specialty and degree of professional experience. However, only 3 readers worked at category 2

Full access

Shubham Sharma, Christopher M. Booth, Elizabeth A. Eisenhauer, and Bishal Gyawali

published in the top journals, 243 were related to oncology. The final study cohort included 90 editorials based on the inclusion and exclusion criteria ( Figure 1 ). Characteristics of the editorials and their accompanying clinical trials are shown in

Full access

Smith Giri, Mustafa Al-Obaidi, Alice Weaver, Kelly M. Kenzik, Andrew McDonald, Deanna Clark, Crystal Young-Smith, Ravi Paluri, Lakshmin Nandagopal, Olumide Gbolahan, Mackenzi Pergolotti, Smita Bhatia, and Grant R. Williams

for GA impairment and construction of the CARE Frailty Index are provided in supplemental eAppendices 1 and 2 . Statistical Analysis We compared baseline characteristics between the 3 age groups (60–64, 65–74, and ≥75 years) using appropriate

Full access

Rebecca M. Shulman, David S. Weinberg, Eric A. Ross, Karen Ruth, Glenn F. Rall, Anthony J. Olszanski, James Helstrom, Michael J. Hall, Julia Judd, David Y.T. Chen, Robert G. Uzzo, Timothy P. Dougherty, Riley Williams, Daniel M. Geynisman, Carolyn Y. Fang, Richard I. Fisher, Marshall Strother, Erica Huelsmann, Sunil Adige, Peter D. Whooley, Kevin Zarrabi, Brinda Gupta, Pritish Iyer, Melissa McShane, Hilario Yankey, Charles T. Lee, Nina Burbure, Lauren E. Laderman, Julie Giurintano, Samuel Reiss, and Eric M. Horwitz

extended to 90 days before the first vaccine dose. Early symptom onset was defined as an adverse event within 24 hours of vaccination. Baseline characteristics of the study population were tabulated separately for patients without cancer, unselected

Full access

Yifan Wang, Adeline Cuggia, Yen-I Chen, Josée Parent, Agatha Stanek, Robert E. Denroche, Amy Zhang, Robert C. Grant, Céline Domecq, Bryn Golesworthy, Chaya Shwaartz, Ayelet Borgida, Spring Holter, Julie M. Wilson, George Chong, Grainne M. O’Kane, Jennifer J. Knox, Sandra E. Fischer, Steven Gallinger, Zu-Hua Gao, William D. Foulkes, Kevin A. Waschke, and George Zogopoulos

. Cohen’s kappa was used to calculate the intermodality agreement between MRI and EUS. A P value <.05 was considered statistically significant. Results Characteristics of HRIs Seventy-five HRIs from 60 families completed at least one

Full access

Prashant Gabani, Emily Merfeld, Amar J. Srivastava, Ashley A. Weiner, Laura L. Ochoa, Dan Mullen, Maria A. Thomas, Julie A. Margenthaler, Amy E. Cyr, Lindsay L. Peterson, Michael J. Naughton, Cynthia Ma, and Imran Zoberi

. Statistical analysis was performed using SPSS Statistics, version 25 (IBM Corporation), and P <.05 was considered statistically significant. Results A total of 153 patients were included in the analysis; baseline characteristics are shown in Table 1 . Median