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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Armin Shahrokni, Bella Marie Vishnevsky, Brian Jang, Saman Sarraf, Koshy Alexander, Soo Jung Kim, Robert Downey, Anoushka Afonso, and Beatriz Korc-Grodzicki
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
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
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
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
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
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
Dominik J. Ose, Richard Viskochil, Andreana N. Holowatyj, Mikaela Larson, Dalton Wilson, William A. Dunson Jr, Vikrant G. Deshmukh, J. Ryan Butcher, Belinda R. Taylor, Kim Svoboda, Jennifer Leiser, Benjamin Tingey, Benjamin Haaland, David W. Wetter, Simon J. Fisher, Mia Hashibe, and Cornelia M. Ulrich
levels) 24 , 26 or clinical studies with a small number of patients and a focus on one specific cancer. For both types of studies, the lack of cancer specifics (eg, first primary cancer), timing of DM onset, and/or treatment characteristics limit the
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
Joseph A. Greer, Beverly Moy, Areej El-Jawahri, Vicki A. Jackson, Mihir Kamdar, Juliet Jacobsen, Charlotta Lindvall, Jennifer A. Shin, Simone Rinaldi, Heather A. Carlson, Angela Sousa, Emily R. Gallagher, Zhigang Li, Samantha Moran, Magaret Ruddy, Maya V. Anand, Julia E. Carp, and Jennifer S. Temel
characteristics, we first calculated descriptive statistics. Following the intent-to-treat principle, we used the Fisher exact test and logistic and linear regression modeling to examine group differences in rates of documentation of EoL care discussions and time
