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Yan Hiu Athena Lee, Jiandong Zhou, Jeremy Man Ho Hui, Xuejin Liu, Teddy Tai Loy Lee, Kyle Hui, Jeffrey Shi Kai Chan, Abraham Ka Chung Wai, Wing Tak Wong, Tong Liu, Kenrick Ng, Sharen Lee, Edward Christopher Dee, Qingpeng Zhang, and Gary Tse

users. HbA1c (expressed as a percentage) was similar in both metformin and sulfonylurea users (mean [SD], 7.45 [1.47] vs 7.45 [1.42], respectively; SMD, <0.01). Baseline and clinical characteristics of the study cohort before and after propensity score

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Michael G. Cohen, Andrew D. Althouse, Robert M. Arnold, Douglas White, Edward Chu, Margaret Rosenzweig, Kenneth J. Smith, and Yael Schenker

intervention increased ACP uptake. Baseline characteristics of patients in the CONNECT intervention and standard care arms are presented using frequency and percentages for categorical variables and mean [SD] for continuous variables. Baseline characteristics

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Tiffany Li, Hannah C. Timmins, Terry Trinh, David Mizrahi, Michelle Harrison, Lisa G. Horvath, Peter Grimison, Michael Friedlander, Matthew C. Kiernan, Madeleine T. King, Claudia Rutherford, David Goldstein, and Susanna B. Park

Clinical Characteristics (N=406) At baseline assessment, most patients (79.3%; n=322/406) did not have neuropathy symptoms (CTCAE grade 0; Table 1 ). By midtreatment (8.9 ± 4.8 weeks from baseline), 62.2% (n=199/320) had CIPN symptoms (CTCAE grade ≥1

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Yixing Jiang, Heath Mackley, Hua Cheng, and Jaffer A. Ajani

Characteristics Among the Major Phase III Studies Ajani et al. 31 showed that patients with tumors greater than 5 cm, irregardless of nodal status, had a higher colostomy rate and inferior disease-free survival. Roohipour et al. 32 showed that treatment

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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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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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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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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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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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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