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Impact of Geography on Care Delivery and Survival for Noncurable Pancreatic Adenocarcinoma: A Population-Based Analysis

Elliott K. Yee, Natalie G. Coburn, Laura E. Davis, Alyson L. Mahar, Victoria Zuk, Vaibhav Gupta, Ying Liu, Craig C. Earle, and Julie Hallet

baseline characteristics of the cohort and outcomes, stratified by distance category and geographic region of residence. Patients were linked to geographic regions using the PCCF. Choropleth maps of the primary outcomes across each geographic region

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Impact of Telemedicine on Patient Satisfaction and Perceptions of Care Quality in Radiation Oncology

Narek Shaverdian, Erin F. Gillespie, Elaine Cha, Soo Young Kim, Stephanie Benvengo, Fumiko Chino, Jung Julie Kang, Yuelin Li, Thomas M. Atkinson, Nancy Lee, Charles M. Washington, Oren Cahlon, and Daniel R. Gomez

. Statistical Analysis All completed surveys were analyzed. There were no additional inclusion or exclusion criteria. A predefined statistical plan was used to minimize inflation of type I error. Patient characteristics and survey responses for office visit

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What Constitutes Quality of Life? Perspectives of Adolescents and Young Adults With Advanced Cancer

Jane Hinkle, Lori Wiener, Andrea Altschuler, Katharine E. Brock, Mallory Casperson, Chun R. Chao, Lauren Fisher, Lawrence H. Kushi, Joshua R. Lakin, Anna Lefebvre, Corey M. Schwartz, Dov M. Shalman, Catherine B. Wall, and Jennifer W. Mack

edited to improve readability. Results Participant Characteristics Participants included 23 AYA patients, 28 caregivers, and 29 health care providers ( Table 1 ). Most AYA patients (78%) were aged 25 to 39 years and were White (78%). Family

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Risk Factors for Early Death After Rituximab-Based Immunochemotherapy in Older Patients With Diffuse Large B-Cell Lymphoma

Adam J. Olszewski, Kalyan C. Mantripragada, and Jorge J. Castillo

.1 (StataCorp LP, College Station, TX) and report estimates with 95% CIs. Results Patient Characteristics Among the 5,530 eligible patients (with a median age of 76 years) treated with outpatient rituximab-based immunochemotherapy in 2003

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Metastatic Bulk Independently Predicts Outcomes for EGFR Precision Targeting in Colorectal Cancer

Jeremy D. Kratz, Nataliya V. Uboha, Sam J. Lubner, Daniel L. Mulkerin, Linda Clipson, Yanyao Yi, Menggang Yu, Kristina A. Matkowskyj, Noelle K. LoConte, and Dustin A. Deming

using the Breslow method. Results Sidedness Predicts Outcomes to Anti-EGFR Therapy in the Treatment-Refractory Setting A total of 62 patients were available for analysis, with baseline characteristics stratified by primary tumor sidedness

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Barriers and Facilitators Impacting Lung Cancer Screening Uptake Among Black Veterans: A Qualitative Study

Neelima Navuluri, Tiera Lanford, Abigail Shapiro, Govind Krishnan, Angela B. Johnson, Isaretta L. Riley, Leah L. Zullig, Christopher E. Cox, and Scott Shofer

.6 years). Demographic characteristics are shown in Table 1 . Of note, we interviewed 4 Veterans who were diagnosed with lung cancer after LCS. We report separate findings for this group when their reflections on their LCS experience differ significantly

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Longitudinal Analysis of Severe Anxiety Symptoms in the Last Year of Life Among Patients With Advanced Cancer: Relationships With Proximity to Death, Burden, and Social Support

Siew Tzuh Tang, Jen-Shi Chen, Wen-Chi Chou, Wen-Cheng Chang, Chiao-En Wu, Chia-Hsun Hsieh, Ming-Chu Chiang, and Mei-Ling Kuo

committee approved the research protocol. All participants signed informed consents. Measures Data were collected on anxiety symptoms and 5 groups of variables (demographics, disease-related characteristics, disease burden, perceived burden to others

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Lung Cancer Survivorship: Physical, Social, Emotional, and Medical Needs of NSCLC Survivors

Melinda L. Hsu, Matthew Z. Guo, Sarah Olson, Cyd Eaton, Mary Boulanger, Michelle Turner, Mattea E. Miller, Anna Nguyen, Karol Szczepanek, Rahul Shenolikar, and Josephine L. Feliciano

survivors. We explored sociodemographic and cancer-related characteristics independently associated with increased needs in each needs domain. Methods Survey Design and Distribution We defined LC survivors as patients with NSCLC of any stage who

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SOURCE: Prediction Models for Overall Survival in Patients With Metastatic and Potentially Curable Esophageal and Gastric Cancer

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

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Patient-Reported Quality of Life at Diagnosis in Adolescent and Young Adults With Cancer

Goldy C. George, Clark Andersen, Xiaohui Tang, Elizabeth Rodriguez, Midhat Jafry, Maria C. Swartz, Sairah Ahmed, Carlos H. Barcenas, J. Andrew Livingston, Michael E. Roth, and Michelle A.T. Hildebrandt

PCS and MCS scores by tumor type, age at diagnosis, gender, and race/ethnicity. Differences in mean MCS and PCS scores by these characteristics were assessed using independent samples t tests or analysis of variance (ANOVA) for binomial or