Leveraging real-world data to predict cancer cachexia stage, quality of life, and survival in a racially and ethnically diverse multi-institutional cohort of treatment-naïve patients with pancreatic ductal adenocarcinoma

Permuth, Jennifer B.; Park, Margaret A.; Chen, Dung-Tsa; Basinski, Toni; Powers, Benjamin D.; Gwede, Clement K.; Dezsi, Kaleena B.; Gomez, Maria; Vyas, Shraddha L.; Biachi, Tiago; Cortizas, Elena M.; Crowder, Sylvia; Genilo-Delgado, Maria; Green, B. Lee; Greene, Anna; Gregg, Christopher; Hoffe, Sarah E.; Jiang, Kun; Kim, Bora; Vasudevan, Vanitha; De Llano, Jeronimo Garcialopez; Menon, Anjana A.; Mo, Qianxing; MorenoUrazan, Lina M.; Mok, Shaffer; Parker, Nathan; Rajasekhara, Sahana; Rasool, Ghulam; Sinnamon, Andrew; Sparks, Lauren; Stewart, Paul A.; Tardif, Kenneth; Tassielli, Alexandra F.; Teer, Jamie K.; Tran, Dan Viet; Turner, Kea L.; Vadaparampil, Susan T.; Whelan, Christopher J.; Douglas, Wade G.; Velanovich, Vic; Karachristos, Andreas; Legaspi, Adrian; Meredith, Kenneth; Molina-Vega, Manual A.; Huguet, Kevin L.; Arnoletti, Juan P.; Bloomston, Mark; Trevino, Jose; Merchant, Nipun B.; Pimiento, Jose M.; Hodul, Pamela J.; Malafa, Mokenge; Fleming, Jason; Judge, Sarah M.; Jeong, Daniel K.; Judge, Andrew

Leveraging real-world data to predict cancer cachexia stage, quality of life, and survival in a racially and ethnically diverse multi-institutional cohort of treatment-naïve patients with pancreatic ductal adenocarcinoma Article