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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

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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

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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

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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

.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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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

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Jason Hu, Armen G. Aprikian, Marie Vanhuyse, and Alice Dragomir

,586). Results Cohort Characteristics A total of 22,033 patients were included in the cohort with a mean age of 75 years. Prior diagnosis of osteoporosis and use of bisphosphonates were found in 1.2% and 6.3% of the cohort, respectively. Most patients were

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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

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Seyed M. Qaderi, Paul W. Dickman, Johannes H.W. de Wilt, and Rob H.A. Verhoeven

data from the Netherlands Cancer Registry (NCR). 13 All patients newly diagnosed with cancer are registered in the nationwide NCR. Information regarding patient and tumor characteristics are extracted directly from medical records by trained NCR data

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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

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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