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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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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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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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
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
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
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
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
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