clinical variables. R version 3.6.1 (R Foundation for Statistical Computing) was used for statistical analyses. Results Patient Characteristics From 2001 through 2019, 68 clinical trials conducted at Gustave Roussy and Memorial Sloan Kettering
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Ritesh R. Kotecha, Ronan Flippot, Taylor Nortman, Annalisa Guida, Sujata Patil, Bernard Escudier, Robert J. Motzer, Laurence Albiges, and Martin H. Voss
Seanthel Delos Santos, Noah Witzke, Bishal Gyawali, Vanessa Sarah Arciero, Amanda Putri Rahmadian, Louis Everest, Matthew C. Cheung, and Kelvin K. Chan
assessed at the time of primary publication and at 3 years post-FDA approval using all publicly available data in eligible subsequent publications. Results Characteristics of Included Studies Of 113 indications that met the eligibility criteria, there were
Lauren E. Kernochan and Rochelle L. Garcia
Edited by Kerrin G. Robinson
Carcinosarcoma of the uterus (malignant mixed Müllerian tumor [MMMT]) is an uncommon, typically extremely aggressive neoplasm histologically composed of malignant epithelial and mesenchymal (stromal) elements. Although the literature contains some debate, most authors now agree that most MMMTs derive from sarcomatous differentiation in a high-grade carcinoma. This article reviews the clinical and histopathologic features of this interesting neoplasm, with particular emphasis on recent data supporting MMMTs as primarily epithelial malignant neoplasms with areas of mesenchymal/spindle cell differentiation.
Thi Thanh Tam Bui, Quoc Thang Pham, Dang Anh Thu Phan, Quoc Dat Ngo, Thanh Hai Phan, Thi Ngoc Ha Hua, and Sao Trung Nguyen
Ishveen Chopra, Malcolm D. Mattes, Patricia Findley, Xi Tan, Nilanjana Dwibedi, and Usha Sambamoorthi
service. Each individual was observed for 48 months ( Figure 1 ). Figure 1. Schematic of the study design. Each individual was observed for 48 months with a 24-month baseline (for identification of CAD and baseline characteristics), 12-month preindex, and
Pamala A. Pawloski, Gabriel A. Brooks, Matthew E. Nielsen, and Barbara A. Olson-Bullis
Background Clinical decision support (CDS) systems include any electronic system designed to directly aid clinical decision-making by using individual patient characteristics to generate patient-specific assessments or recommendations. 1 , 2 These
Ashish Rai, Xuesong Han, Zhiyuan Zheng, K. Robin Yabroff, and Ahmedin Jemal
characteristics (year 1 sociodemographic features, insurance status, usual source of care, comorbidity count, smoking status, active treatment status, tertile of office visits, any ED visits, and any inpatient care) and membership of the highest satisfaction
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
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
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
