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Marsha Reyngold, Joyce Niland, Anna ter Veer, Dana Milne, Tanios Bekaii-Saab, Steven J. Cohen, Lily Lai, Deborah Schrag, John M. Skibber, William Small Jr, Martin Weiser, Neal Wilkinson, and Karyn A. Goodman

Demographic characteristics potentially associated with receipt of RT chosen for analysis included age at diagnosis, gender, racial/ethnic background, type of insurance (private, Medicare, Medicaid), household income, NCCN Member Institution, distance to the

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Davinia S.E. Seah, Ines Vaz Luis, Erin Macrae, Jessica Sohl, Georgia Litsas, Eric P. Winer, Nancy U. Lin, and Harold J. Burstein

subtypes. 14 Decisions about treatment are increasingly being tailored to individual patient characteristics, such as tumor subtype. This clinical classification identifies targets with established data on treatment efficacy; hormonal therapies for HR

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Zhong Ye, Chun Wang, Limin Guo, Juan P. Palazzo, Zhixing Han, Yinzhi Lai, Jing Jiang, James A. Posey, Atrayee Basu Mallick, Bingshan Li, Li Jiang, and Hushan Yang

characteristic (ROC) curves and calculating the area under the curve (AUC). The prediction power was also estimated using Concordance-index (C-index), which works as an extension of AUC to the case of censored survival data. Patients with CRC were divided into

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James Sun, Brittany J. Mathias, Christine Laronga, Weihong Sun, Jun-Min Zhou, William J. Fulp, John V. Kiluk, and M. Catherine Lee

%) had additional nodal disease. Table 1. Demographic and Clinicopathologic Characteristics In terms of adjuvant therapy, 176 (53%) of 329 patients received RT, 245 (75%) received chemotherapy, and 272 (83%) received endocrine therapy ( Table 1 ). Records

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Daniëlle D. Huijts, Onno R. Guicherit, Jan Willem T. Dekker, Julia T. van Groningen, Leti van Bodegom-Vos, Esther Bastiaannet, Johannes A. Govaert, Michel W. Wouters, and Perla J. Marang-van de Mheen

considered colon and rectal cancer together, whereas patient characteristics, complication risks, and clinical outcomes are different in colon versus rectal cancer. 10 Furthermore, to provide clues for possible quality improvement, other outcomes require

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Barbara Dull, Andrew Linkugel, Julie A. Margenthaler, and Amy E. Cyr

recorded, as were demographic data and tumor characteristics, such as pathology size and tumor marker profile. Statistical analysis was performed using Fisher exact test and Student unpaired t -test, with a P value <.05 being considered statistically

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Jeremy P. Harris, Mehr Kashyap, Jessi N. Humphreys, Daniel T. Chang, and Erqi L. Pollom

additional treatments. Demographic and Clinical Characteristics Using data from the SEER registry, we determined age, sex, race, Hispanic ethnicity, marital status, area income, cancer stage, and disease subsite. 13 Dual Medicaid insurance and Charlson

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Nina N. Sanford, David J. Sher, Xiaohan Xu, Chul Ahn, Anthony V. D’Amico, Ayal A. Aizer, and Brandon A. Mahal

Southwestern Medical Center deemed the study exempt given the use of public deidentified data. Statistical Analysis Baseline Characteristics Baseline characteristics, including demographic and socioeconomic variables, were reported for the entire cohort (N=34

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Carlos J. Roldan, Matthew Chung, Lei Feng, and Eduardo Bruera

.4 (SAS Institute Inc.) and Splus 8.2 (TIBCO Software Inc) were used for all analyses. Results Patient Characteristics We identified 350 adult patients who were prescribed MB oral rinse for oral pain from mucositis related to cancer therapy

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Yue Chen, Zi-Qi Zheng, Fo-Ping Chen, Jian-Ye Yan, Xiao-Dan Huang, Feng Li, Ying Sun, and Guan-Qun Zhou

the role of PORT in survival outcome, which would help surgeons and radiologists provide individualized recommendations regarding PORT to patients with ACC. Patients and Methods Patient Characteristics From January 2000 through December 2017, 480