.29). 14 , 18 Only patients with a secondary diagnosis of metastatic disease were included (ICD-9-CM codes 197.x and 198.x). These selection criteria yielded 1,944 patients. Patient and Hospital Characteristics Patient age at admission, year of admission
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Elio Mazzone, Sophie Knipper, Francesco A. Mistretta, Carlotta Palumbo, Zhe Tian, Andrea Gallina, Derya Tilki, Shahrokh F. Shariat, Francesco Montorsi, Fred Saad, Alberto Briganti, and Pierre I. Karakiewicz
Amy A. Kirkham, Kelcey A. Bland, Holly Wollmann, Alis Bonsignore, Don C. McKenzie, Cheri Van Patten, Karen A. Gelmon, and Kristin Campbell
characteristics were extracted from medical records. Assessments included physical fitness tests and questionnaires, and were performed at the following time points: (1) baseline/enrollment, (2) end of treatment (1 week after radiotherapy if received, or the
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
Li-Ting Liu, Qiu-Yan Chen, Lin-Quan Tang, Shan-Shan Guo, Ling Guo, Hao-Yuan Mo, Yang Li, Qing-Nan Tang, Xue-Song Sun, Yu-Jing Liang, Chong Zhao, Xiang Guo, Chao-Nan Qian, Mu-Sheng Zeng, Jin-Xin Bei, Ming-Huang Hong, Jian-Yong Shao, Ying Sun, Jun Ma, and Hai-Qiang Mai
antigen immunoglobulin A. Tests were 2-sided, and a P value <.05 was considered significant. Results The characteristics of the 2,263 patients in the different treatment groups are presented in Table 1 . In the NACT + CCRT group (N=1,073), 81.5% of
Arjun Gupta, Raseen Tariq, Ryan D. Frank, Gary W. Jean, Muhammad S. Beg, Darrell S. Pardi, David H. Johnson, and Sahil Khanna
accessible online at http://www.cdc.gov/nchs/nhds.htm . All diagnoses are based on ICD-9-CM codes. Data Collection Data collected and analyzed included age, sex, race, admission type (urgent/emergent vs elective), hospital characteristics, LOS
Angela K. Green, Deborah Korenstein, Carol Aghajanian, Brooke Barrow, Michael Curry, and Roisin E. O’Cearbhaill
patients who underwent SCS by imaging practices. Characteristics between patients treated by high- versus low-frequency imaging providers were compared using chi-square tests for discrete variables and t tests for continuous variables. Because CA-125
Ya-Fu Cheng, Wei-Heng Hung, Heng-Chung Chen, Ching-Yuan Cheng, Ching-Hsiung Lin, Sheng-Hao Lin, and Bing-Yen Wang
excluded if they received no therapy or if their database records were missing values for therapy or type of surgery. Baseline patient demographics (age and sex), tumor characteristics (histologic grade, cell type, T stage), and treatment details (surgery
Areej El-Jawahri, Deborah Forst, Alyssa Fenech, Keri O. Brenner, Amanda L. Jankowski, Lauren Waldman, Isabella Sereno, Ryan Nipp, Joseph A. Greer, Lara Traeger, Vicki Jackson, and Jennifer Temel
, relationship status, or time since diagnosis of incurable cancer and patient-reported QoL or mood. Table 1. Participant Characteristics Patients’ Perceptions of Both Their Treatment Goal and Their Oncologist’s Goal Figure 1 depicts patients’ perceptions of
Matthew H. Kulke, Al B. Benson III, Emily Bergsland, Jordan D. Berlin, Lawrence S. Blaszkowsky, Michael A. Choti, Orlo H. Clark, Gerard M. Doherty, James Eason, Lyska Emerson, Paul F. Engstrom, Whitney S. Goldner, Martin J. Heslin, Fouad Kandeel, Pamela L. Kunz, Boris W. Kuvshinoff II, Jeffrey F. Moley, Venu G. Pillarisetty, Leonard Saltz, David E. Schteingart, Manisha H. Shah, Stephen Shibata, Jonathan R. Strosberg, Jean-Nicolas Vauthey, Rebekah White, James C. Yao, Deborah A. Freedman-Cass, and Mary A. Dwyer
< 5% of patients) are not specifically discussed in these guidelines. Histologic Classification and Staging of Neuroendocrine Tumors Neuroendocrine tumors are generally subclassified by site of origin and histologic characteristics. Pancreatic
Suneel D. Kamath, Sheetal M. Kircher, and Al B. Benson III
amount of annual revenue supporting each cancer type. Table 1. Characteristics of Nonprofit Organizations Among cancer type–specific NPOs, the cancers with the largest number of organizations were breast cancer (13; 22%), pediatric cancers (13; 22
