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Yixing Jiang, Heath Mackley, Hua Cheng, and Jaffer A. Ajani

Characteristics Among the Major Phase III Studies Ajani et al. 31 showed that patients with tumors greater than 5 cm, irregardless of nodal status, had a higher colostomy rate and inferior disease-free survival. Roohipour et al. 32 showed that treatment

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Jessica D. McDermott, Megan Eguchi, Rustain Morgan, Arya Amini, Julie A. Goddard, Evelinn A. Borrayo, and Sana D. Karam

modern era. We used updated SEER-Medicare population data to derive information on patient and tumor characteristics and treatment, payment, and healthcare use data to control for bias of different healthcare/insurance coverage. We focused our comparisons

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Armin Shahrokni, Bella Marie Vishnevsky, Brian Jang, Saman Sarraf, Koshy Alexander, Soo Jung Kim, Robert Downey, Anoushka Afonso, and Beatriz Korc-Grodzicki

preoperative albumin level were captured from electronic medical records. Other variables assessed preoperatively included sociodemographic characteristics (age, sex, education, marital status) and surgical characteristics (site and duration of surgery

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Siddhartha Yadav, Sri Harsha Tella, Anuhya Kommalapati, Kristin Mara, Kritika Prasai, Mohamed Hamdy Mady, Mohamed Hassan, Rory L. Smoot, Sean P. Cleary, Mark J. Truty, Lewis R. Roberts, and Amit Mahipal

-adenocarcinoma cases were included in the final analysis. Baseline characteristics, including patient demographics, ECOG performance status, CA 19-9 level, hematologic parameters (hemoglobin [HgB], platelet count, and WBC count), hepatic parameters, and radiographic

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Anuhya Kommalapati, Sri Harsha Tella, Adams Kusi Appiah, Lynette Smith, and Apar Kishor Ganti

on type of therapies received and OS based on hospital volume were analyzed from the database. Table 1. Patient and Tumor Characteristics Covariates Included The primary predictor of interest in the analysis was facility volume. Factors that

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Aileen B. Chen, Jiangong Niu, Angel M. Cronin, Ya-Chen Tina Shih, Sharon Giordano, and Deborah Schrag

increasing costs of care, it is important to understand to what extent variation in the use of high-cost technologies and the number of treatments for palliative RT can be attributed to differences in patient and disease characteristics versus systematic

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Lauren Lapointe-Shaw, Hani Abushomar, Xi-Kuan Chen, Katerina Gapanenko, Chelsea Taylor, Monika K. Krzyzanowska, and Chaim M. Bell

holidays and are listed in Table 1 . When a holiday fell on a weekend, the following Monday was defined as a weekend day until 11:59 pm. Patient and Hospital Characteristics We collected information on potential patient and hospital

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Changyu Shen, Enrico G. Ferro, Huiping Xu, Daniel B. Kramer, Rushad Patell, and Dhruv S. Kazi

regulatory authorities. 11 Statistical Methods Descriptive statistics were used to summarize trial characteristics for OS and PRS endpoints separately. For a given trial endpoint, we calculated the Z value by dividing the point estimate of the HR on

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P. Connor Johnson, Caron Jacobson, Alisha Yi, Anna Saucier, Tejaswini M. Dhawale, Ashley Nelson, Mitchell W. Lavoie, Mathew J. Reynolds, Carlisle E.W. Topping, Matthew J. Frigault, and Areej El-Jawahri

-cell therapy. We also aimed to examine associations among patient and clinical characteristics and important EoL outcomes. Data depicting patients’ healthcare utilization and EoL care could allow clinicians to communicate important information about the

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Tara M. Mackay, Lennart B. van Rijssen, Jurr O. Andriessen, Mustafa Suker, Geert-Jan Creemers, Ferry A. Eskens, Ignace H. de Hingh, Lonneke V. van de Poll-Franse, Mirjam A.G. Sprangers, Olivier R. Busch, Johanna W. Wilmink, Casper H. van Eijck, Marc G. Besselink, Hanneke W. van Laarhoven, and on behalf of the Dutch Pancreatic Cancer Group

patients with pancreatic and periampullary cancer. 16 QoL may be influenced by characteristics of the healthcare organization, the patient, and the disease itself. 17 , 18 The exact relationship between patient satisfaction and QoL is unclear. Therefore