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Héctor G. van den Boorn, Ameen Abu-Hanna, Nadia Haj Mohammad, Maarten C.C.M. Hulshof, Suzanne S. Gisbertz, Bastiaan R. Klarenbeek, Marije Slingerland, Laurens V. Beerepoot, Tom Rozema, Mirjam A.G. Sprangers, Rob H.A. Verhoeven, Martijn G.H. van Oijen, Koos H. Zwinderman, and Hanneke W.M. van Laarhoven

options. Furthermore, prediction models for the metastatic setting are scarce. We recently developed 2 models to predict survival in patients with metastatic esophageal or gastric cancer based on tumor, patient, and treatment characteristics. 13

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Elliott K. Yee, Natalie G. Coburn, Laura E. Davis, Alyson L. Mahar, Victoria Zuk, Vaibhav Gupta, Ying Liu, Craig C. Earle, and Julie Hallet

baseline characteristics of the cohort and outcomes, stratified by distance category and geographic region of residence. Patients were linked to geographic regions using the PCCF. Choropleth maps of the primary outcomes across each geographic region

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Narek Shaverdian, Erin F. Gillespie, Elaine Cha, Soo Young Kim, Stephanie Benvengo, Fumiko Chino, Jung Julie Kang, Yuelin Li, Thomas M. Atkinson, Nancy Lee, Charles M. Washington, Oren Cahlon, and Daniel R. Gomez

surveys were analyzed. There were no additional inclusion or exclusion criteria. A predefined statistical plan was used to minimize inflation of type I error. Patient characteristics and survey responses for office visit and telemedicine consultation

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Adam J. Olszewski, Kalyan C. Mantripragada, and Jorge J. Castillo

.1 (StataCorp LP, College Station, TX) and report estimates with 95% CIs. Results Patient Characteristics Among the 5,530 eligible patients (with a median age of 76 years) treated with outpatient rituximab-based immunochemotherapy in 2003

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Jeremy D. Kratz, Nataliya V. Uboha, Sam J. Lubner, Daniel L. Mulkerin, Linda Clipson, Yanyao Yi, Menggang Yu, Kristina A. Matkowskyj, Noelle K. LoConte, and Dustin A. Deming

using the Breslow method. Results Sidedness Predicts Outcomes to Anti-EGFR Therapy in the Treatment-Refractory Setting A total of 62 patients were available for analysis, with baseline characteristics stratified by primary tumor sidedness

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Mostafa R. Mohamed, Erika Ramsdale, Kah Poh Loh, Huiwen Xu, Amita Patil, Nikesha Gilmore, Spencer Obrecht, Megan Wells, Ginah Nightingale, Katherine M. Juba, Bryan Faller, Adedayo Onitilo, Thomas Bradley, Eva Culakova, Holly Holmes, and Supriya G. Mohile

the potential for collinearity in multivariate analyses, cognitive impairment was not included as a separate variable in our models. Statistical Approach For each of the 3 outcome measures, we used the receiver operating characteristic (ROC) curve

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Siew Tzuh Tang, Jen-Shi Chen, Wen-Chi Chou, Wen-Cheng Chang, Chiao-En Wu, Chia-Hsun Hsieh, Ming-Chu Chiang, and Mei-Ling Kuo

committee approved the research protocol. All participants signed informed consents. Measures Data were collected on anxiety symptoms and 5 groups of variables (demographics, disease-related characteristics, disease burden, perceived burden to others

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Carme Font, Alberto Carmona-Bayonas, Aranzazu Fernández-Martinez, Carmen Beato, Andrés Vargas, Pere Gascon, and Remedios Otero

negative predictive values (PPV and NPV, respectively); and positive and negative likelihood ratios (pLR and nLR, respectively). The receiver operating characteristic (ROC) curves were calculated, and the method proposed by DeLong et al 23 was used to test

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Catherine Lockhart, Cara McDermott, James Marshall, Aaron Mendelsohn, Pamala Pawloski, and Jeffrey Brown

. Objective: To evaluate patient characteristics and treatment use patterns in patients treated with GCSFs. This analysis will help inform a large-scale, real-world, observational GCSF comparative effectiveness research (CER) study using the Biologics

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Xiaoqin Yang, Kaushal Desai, Neha Agrawal, Kirti Mirchandani, Sagnik Chatterjee, Eric Sarpong, and Shuvayu Sen

describe the characteristics, treatment patterns, healthcare resource use (HRU) and costs for these patients. ​ Methods: A retrospective study of individuals enrolled in the MarketScan ® Commercial Claims and Encounters claims database from 10