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Patterns of Patient-Reported Chemotherapy-Induced Peripheral Neuropathy in Colorectal Cancer Survivors

Christina Teng, Venkatesha, Prunella L. Blinman, and Janette L. Vardy

. All the statistical tests were performed at a 0.05 level of significance. All statistical analyses were performed in SPSS Statistics, version 26 (IBM Corp). Results Participant Characteristics The cohort comprised 233 patients with CRC

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FDG-PET Predicts Neoadjuvant Therapy Response and Survival in Borderline Resectable/Locally Advanced Pancreatic Adenocarcinoma

Amro M. Abdelrahman, Ajit H. Goenka, Roberto Alva-Ruiz, Jennifer A. Yonkus, Jennifer L. Leiting, Rondell P. Graham, Kenneth W. Merrell, Cornelius A. Thiels, Christopher L. Hallemeier, Susanne G. Warner, Michael G. Haddock, Travis E. Grotz, Nguyen H. Tran, Rory L. Smoot, Wen Wee Ma, Sean P. Cleary, Robert R. McWilliams, David M. Nagorney, Thorvardur R. Halfdanarson, Michael L. Kendrick, and Mark J. Truty

pathologic response and receiver operating characteristic (ROC) curves with area under the curve. To compare ROC curves for factors, we conducted paired-sample (ie, same patient) area under the curve statistical tests using a nonparametric assumption of

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Impact of Muscle Measures on Outcome in Patients Receiving Endocrine Therapy for Metastatic Breast Cancer: Analysis of ECOG-ACRIN E2112

Tarah J. Ballinger, Helga S. Marques, Gloria Xue, Richard Hoffman, Constantine Gatsonis, Fengmin Zhao, Kathy D. Miller, Joseph Sparano, and Roisin M. Connolly

modifications. Investigating the relationship between muscle characteristics and outcomes in hormone receptor–positive MBC may thus further refine our understanding of prognostic variables and mechanisms of therapeutic resistance, and identify opportunities for

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Geriatric Assessment, Not ASA Physical Status, Is Associated With 6-Month Postoperative Survival in Patients With Cancer Aged ≥75 Years

Armin Shahrokni, Bella Marie Vishnevsky, Brian Jang, Saman Sarraf, Koshy Alexander, Soo Jung Kim, Robert Downey, Anoushka Afonso, and Beatriz Korc-Grodzicki

preoperative albumin level were captured from electronic medical records. Other variables assessed preoperatively included sociodemographic characteristics (age, sex, education, marital status) and surgical characteristics (site and duration of surgery

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Association Between Treatment Facility Volume, Therapy Types, and Overall Survival in Patients With Stage IIIA Non–Small Cell Lung Cancer

Anuhya Kommalapati, Sri Harsha Tella, Adams Kusi Appiah, Lynette Smith, and Apar Kishor Ganti

on type of therapies received and OS based on hospital volume were analyzed from the database. Table 1. Patient and Tumor Characteristics Covariates Included The primary predictor of interest in the analysis was facility volume. Factors that

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A Novel Clinically Based Staging System for Gallbladder Cancer

Siddhartha Yadav, Sri Harsha Tella, Anuhya Kommalapati, Kristin Mara, Kritika Prasai, Mohamed Hamdy Mady, Mohamed Hassan, Rory L. Smoot, Sean P. Cleary, Mark J. Truty, Lewis R. Roberts, and Amit Mahipal

-adenocarcinoma cases were included in the final analysis. Baseline characteristics, including patient demographics, ECOG performance status, CA 19-9 level, hematologic parameters (hemoglobin [HgB], platelet count, and WBC count), hepatic parameters, and radiographic

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Variation in Use of High-Cost Technologies for Palliative Radiation Therapy by Radiation Oncologists

Aileen B. Chen, Jiangong Niu, Angel M. Cronin, Ya-Chen Tina Shih, Sharon Giordano, and Deborah Schrag

increasing costs of care, it is important to understand to what extent variation in the use of high-cost technologies and the number of treatments for palliative RT can be attributed to differences in patient and disease characteristics versus systematic

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Elderly Black Non-Hispanic Patients With Head and Neck Squamous Cell Cancer Have the Worst Survival Outcomes

Jessica D. McDermott, Megan Eguchi, Rustain Morgan, Arya Amini, Julie A. Goddard, Evelinn A. Borrayo, and Sana D. Karam

modern era. We used updated SEER-Medicare population data to derive information on patient and tumor characteristics and treatment, payment, and healthcare use data to control for bias of different healthcare/insurance coverage. We focused our comparisons

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Underperformance of Contemporary Phase III Oncology Trials and Strategies for Improvement

Changyu Shen, Enrico G. Ferro, Huiping Xu, Daniel B. Kramer, Rushad Patell, and Dhruv S. Kazi

regulatory authorities. 11 Statistical Methods Descriptive statistics were used to summarize trial characteristics for OS and PRS endpoints separately. For a given trial endpoint, we calculated the Z value by dividing the point estimate of the HR on

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Care and Outcomes of Patients With Cancer Admitted to the Hospital on Weekends and Holidays: A Retrospective Cohort Study

Lauren Lapointe-Shaw, Hani Abushomar, Xi-Kuan Chen, Katerina Gapanenko, Chelsea Taylor, Monika K. Krzyzanowska, and Chaim M. Bell

holidays and are listed in Table 1 . When a holiday fell on a weekend, the following Monday was defined as a weekend day until 11:59 pm. Patient and Hospital Characteristics We collected information on potential patient and hospital