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Carrie Zornosa, Jonathan L. Vandergrift, Gregory P. Kalemkerian, David S. Ettinger, Michael S. Rabin, Mary Reid, Gregory A. Otterson, Marianna Koczywas, Thomas A. D'Amico, Joyce C. Niland, Rizvan Mamet, and Katherine M. Pisters

Member Institution. Data collection includes patient, disease, and treatment characteristics that are manually abstracted from medical records by trained data managers at each participating site. Data are abstracted for each patient in 6-month intervals

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Jennifer W. Mack, Erin R. Currie, Vincent Martello, Jordan Gittzus, Asisa Isack, Lauren Fisher, Lisa C. Lindley, Stephanie Gilbertson-White, Eric Roeland, and Marie Bakitas

( Table 3 ). Nearly half (46%) had Medicaid or other public insurance, and 54% lived in a low-income zip code (median income ≤200% FPL). Nearly half of caregivers were college graduates (46%). Table 2. AYA Caregiver Characteristics Table

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U-Syn Ha, Jin Bong Choi, Jung Im Shim, Minjoo Kang, Eunjung Park, Shinhee Kang, Jooyeon Park, Jangmi Yang, Insun Choi, Jeonghoon Ahn, Cheol Kwak, Chang Wook Jeong, Choung Soo Kim, Seok-Soo Byun, Seong Il Seo, Hyun Moo Lee, Seung-Ju Lee, Seung Hwan Lee, Byung Ha Chung, and Ji Youl Lee

physical activity. Because placement in the PADT group was strongly associated with patient characteristics, we used PSM analysis to balance covariates between the groups. We stratified by age and summary cancer stages to account for the clinical

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Tara M. Mackay, Anouk E.J. Latenstein, Mirjam A.G. Sprangers, Lydia G. van der Geest, Geert-Jan Creemers, Susan van Dieren, Jan-Willem B. de Groot, Bas Groot Koerkamp, Ignace H. de Hingh, Marjolein Y.V. Homs, Evelien J.M. de Jong, I. Quintus Molenaar, Gijs A. Patijn, Lonneke V. van de Poll-Franse, Hjalmar C. van Santvoort, Judith de Vos-Geelen, Johanna W. Wilmink, Casper H. van Eijck, Marc G. Besselink, Hanneke W.M. van Laarhoven, and for the Dutch Pancreatic Cancer Group

treatment characteristics, such as date of diagnosis, age at diagnosis, sex, body mass index, comorbidities, ECOG performance status, pathologic diagnosis, tumor location, tumor stage (according to AJCC, 7th edition), tumor size, tumor differentiation grade

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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