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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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
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
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
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
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
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
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
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
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
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
