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Prevalence of Insomnia in an Oncology Patient Population: An Irish Tertiary Referral Center Experience

Emily C. Harrold, Ahmad F. Idris, Niamh M. Keegan, Lynda Corrigan, Min Yuen Teo, Martin O’Donnell, Sean Tee Lim, Eimear Duff, Dearbhaile M. O’Donnell, M. John Kennedy, Sue Sukor, Cliona Grant, David G. Gallagher, Sonya Collier, Tara Kingston, Ann Marie O’Dwyer, and Sinead Cuffe

independent predictors of insomnia syndrome. Results Demographic and Clinical Characteristics Of the 337 patients invited to participate, 87% consented to study inclusion (n=294); 12 declined without explanation, 15 were too unwell to participate, 8 declined

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Determining PARP Inhibition as a Treatment Strategy in Melanoma Based on Homologous Recombination Deficiency–Related Loss of Heterozygosity

Alice Zhou, Omar Butt, Michael Ansstas, Elizabeth Mauer, Karam Khaddour, and George Ansstas

or likely pathogenic somatic mutation in 1 of the HRR genes. Table 1. Core Clinical Characteristics of Melanoma Cases in Tempus National Database Records of patients with melanoma were selected from the Tempus database, 20 , 25 which

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Evaluating Germline Testing Panels in Southern African Males With Advanced Prostate Cancer

Kazzem Gheybi, Jue Jiang, Shingai B.A. Mutambirwa, Pamela X.Y. Soh, Zsofia Kote-Jarai, Weerachai Jaratlerdsiri, Rosalind A. Eeles, M.S. Riana Bornman, and Vanessa M. Hayes

Research Ethics Committee in Sydney, Australia (#SVH15/227). Table 1. Patient Characteristics Through genome-wide interrogation of 7,472,833 biallelic single-nucleotide variants (SNVs), all patients were classified genetically as being of African

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Identification and Characterization of Avoidable Hospital Admissions in Patients With Lung Cancer

Eric M. Lander, Xuanyi Li, Li-Ching Huang, Amanda S. Cass, Wade T. Iams, Emily A. Skotte, Jennifer G. Whisenant, Robert A. Ramirez, Sally J. York, Travis J. Osterman, Jennifer A. Lewis, Christine M. Lovly, Yu Shyr, and Leora Horn

hospitalization: demographics (E.M. Lander), disease characteristics (E.A. Skotte, E.M. Lander), disease status at admission (E.A. Skotte, E.M. Lander), end-of-life services (E.M. Lander), admission information (E.M. Lander), and medication reconciliation (A

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Geographic Accessibility and Completion of Initial Low-Dose CT-Based Lung Cancer Screening in an Urban Safety-Net Population

Sofia Yi, Rutu A. Rathod, Vijaya Subbu Natchimuthu, Sheena Bhalla, Jessica L. Lee, Travis Browning, Joyce O. Adesina, Minh Do, David Balis, Juana Gamarra de Wiliams, Ellen Kitchell, Noel O. Santini, David H. Johnson, Heidi A. Hamann, Simon J. Craddock Lee, Amy E. Hughes, and David E. Gerber

throughout the county. An enterprise-wide electronic health record (EHR) system (Epic) allows electronic tracking of a wide array of patient characteristics and outcomes. 15 Since its inception in 2017, lung cancer screening at Parkland is generally

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Use of Inpatient Palliative Care Services in Patients With Advanced Cancer Receiving Critical Care Therapies

Kah Poh Loh, Maya Abdallah, Meng-Shiou Shieh, Mihaela S. Stefan, Penelope S. Pekow, Peter K. Lindenauer, Supriya G. Mohile, Dilip Babu, and Tara Lagu

are reliably coded. Patient and Clinical Characteristics We collected demographics including age, sex, race, insurance provider, comorbidities (modified combined comorbidity score derived from the Elixhauser and Charlson comorbidity index

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Comparative Effectiveness of Carboplatin/Pemetrexed With Versus Without Bevacizumab for Advanced Nonsquamous Non–Small Cell Lung Cancer

Stephen J. Bagley, Suzanna Talento, Nandita Mitra, Neal J. Meropol, Roger B. Cohen, Corey J. Langer, and Anil Vachani

mortality data with results from published literature and the SEER database. Flatiron’s mortality data are estimated to have a sensitivity of 85% to 90%, specificity of 97% to 98%, and accuracy of 95% to 97%. 15 Baseline Characteristics Demographic and

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Treatment of Stage IV Colon Cancer in the United States: A Patterns-of-Care Analysis

Xiang Gao, Amanda R. Kahl, Paolo Goffredo, Albert Y. Lin, Praveen Vikas, Imran Hassan, and Mary E. Charlton

2014. In addition to the traditional demographic and tumor characteristics collected by SEER, the SEER POC study collected additional variables in a sample of patients from various SEER registries. For stage IV colon cancer, these variables included the

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Renal Cell Cancer: A Shift in Approaches for Treatment of Advanced Disease in the United States

Matthew P. Banegas, Linda C. Harlan, Bhupinder Mann, and K. Robin Yabroff

regions. Currently, SEER covers approximately 28% of the US population. 7 Information for each patient in SEER is primarily obtained from hospital records and includes tumor characteristics, treatment, and select demographic characteristics. Given that

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Quantifying Withdrawal of Consent, Loss to Follow-Up, Early Drug Discontinuation, and Censoring in Oncology Trials

Brooke E. Wilson, Michelle B. Nadler, Alexandra Desnoyers, and Eitan Amir

anticancer therapy before documenting an event of interest can all result in informative censoring. 3 Differential censoring between the experimental and control arms may also introduce bias, especially if it results in differences in patient characteristics