. 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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Catherine Lockhart, Cara McDermott, James Marshall, Aaron Mendelsohn, Pamala Pawloski, and Jeffrey Brown
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
Sumesh Kachroo, Changxia Shao, Kaushal Desai, Jinghua He, Fan Jin, and Shuvayu Sen
Background: This study evaluated the relationship between patients’ clinical and genomic characteristics and high tumor mutational burden (TMB) in the context of small cell lung cancer (SCLC). Methods: This was a retrospective cohort study using
Andrew D. Zelenetz
highlighted the second-generation BCL-2 inhibitor venetoclax (ABT-199). Early studies with venetoclax have confirmed its activity and the durability of Figure 2 Ideal Characteristics of Immunoconjugates. responses in patients with relapsed
Rebecca A. Vanderwall, Alison Schwartz, Lindsay Kipnis, Catherine M. Skefos, Samantha M. Stokes, Nizar Bhulani, Michelle Weitz, Rebecca Gelman, Judy E. Garber, and Huma Q. Rana
changes in demographic information, clinical history, meeting NCCN GT criteria, and family structure. Post-GC pedigrees were used to gather family characteristics, including cancer burden (reported as cancer ratio). Pedigrees that were left blank before
Yujiao Sun, Adam Hendrix, Benyam Muluneh, and Sachiko Ozawa
imatinib in the United States. Screenshots of included web pages were taken when pages were accessed. Information collected from these websites included patient safety characteristics, marketing techniques, and pricing information. Patient safety
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
Daniëlle D. Huijts, Julia T. van Groningen, Onno R. Guicherit, Jan Willem T. Dekker, Leti van Bodegom-Vos, Esther Bastiaannet, Johannes A. Govaert, Michel W. Wouters, and Perla J. Marang-van de Mheen
studies grouped colon and rectal surgeries together 3 , 4 or only examined colon surgery, 5 , 6 whereas patient characteristics, complication risks, and clinical outcomes are clearly different for colon and rectal cancers. 9 Another important
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
Julie Hallet, Laura Davis, Alyson Mahar, Michail Mavros, Kaitlyn Beyfuss, Ying Liu, Calvin H.L. Law, Craig Earle, and Natalie Coburn
characteristics and outcomes. Categorical variables were reported as absolute number and percent, and continuous variables were reported as mean with SD or median with interquartile range (IQR). Comparison testing was undertaken using the chi-square test for
