Performance of Two-Phase Designs for the Time-to-Event Outcome and a Case Study Assessing the Relapse Risk Associated With B-ALL Subtypes [0.03%]
分阶段设计的时间结果的性能以及B-ALL亚型相关的复发风险的案例研究评估
Wenan Chen,Ti-Cheng Chang,Karen R Rabin et al.
Wenan Chen et al.
Purpose: To reduce costs in genomic studies of time-to-event phenotypes like survival, researchers often sequence a subset of samples from a larger cohort. This process usually involves two phases: first, collecting inexp...
Data Events Are Safety Events: High-Reliability Organization Approach to Improving Data Quality and Safety [0.03%]
数据问题即安全问题：采用高可靠性组织方法提高数据质量和安全性
Kelly Merriman,Emily Yu,Andrea Hawkins-Daarud et al.
Kelly Merriman et al.
Development and Validation of an 18F-Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography-Based Imaging Score to Predict 12-Week Life Expectancy in Advanced Chemorefractory Colorectal Cancer [0.03%]
开发和验证基于18F-氟脱氧葡萄糖正电子发射断层扫描-X线计算机体层成像的影像学评分预测化疗难治性晚期结直肠癌患者12周生存率
Zelda Paquier,Jennifer Dhont,Thomas Guiot et al.
Zelda Paquier et al.
Purpose: Managing chemorefractory metastatic colorectal cancer (mCRC) requires a meticulous equilibrium between the efficacy and toxicity of interventions, a task compounded by the constrained life expectancy of the patie...
Implementation of Recovery Tracker: A Postdischarge Electronic Remote Symptom-Monitoring Survey Tool After Major Urologic Oncology Surgeries [0.03%]
日间腹部泌尿外科手术后电子远程症状监测调查工具的实施——恢复跟踪器的应用研究
Richard S Matulewicz,Fady Baky,Samuel Gold et al.
Richard S Matulewicz et al.
Purpose: Remote symptom monitoring shows promise in promoting postdischarge contact between patients and clinicians. Unique strategies may be needed to tailor reach and engagement to specific patient populations. We aimed...
Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study [0.03%]
基于遗传和临床数据的机器学习预测尼伏单药治疗晚期肾细胞癌客观反应的模型：SNiP-RCC研究
Masaki Shiota,Shota Nemoto,Ryo Ikegami et al.
Masaki Shiota et al.
Purpose: Anti-PD-1 antibodies are widely used for cancer treatment, including in advanced renal cell carcinoma (RCC). However, the therapeutic response varies among patients. This study aimed to predict tumor response to ...
Development and Evaluation of an Electronic Health Record-Derived Computable Phenotype to Identify Patients Undergoing Prostate Cancer Screening [0.03%]
基于电子健康记录派生的可计算表型的发展与评估以识别接受前列腺癌筛查的患者
Patrick Lewicki,Yasmin Benhalim,Joshua Bradin et al.
Patrick Lewicki et al.
Purpose: Given challenges with randomized trials, tumor registries, and insurance claims, electronic health record data are an appealing resource for studying prostate-specific antigen (PSA) screening for prostate cancer....
Fernanda C G Polubriaginof,Allison Lipitz-Snyderman,Susan Chimonas et al.
Fernanda C G Polubriaginof et al.
Purpose: Incorporating patient-reported outcomes (PROs) into health care processes can improve engagement with patients; however, adopting PROs at scale is challenging. The aim of this study was to describe the design, de...
Decoding Recurrence in Early-Stage and Locoregionally Advanced Non-Small Cell Lung Cancer: Insights From Electronic Health Records and Natural Language Processing [0.03%]
基于电子健康档案和自然语言处理解析早期及局部晚期非小细胞肺癌的复发风险因素：一项观察性研究
Kyeryoung Lee,Zongzhi Liu,Qing Huang et al.
Kyeryoung Lee et al.
Purpose: Recurrences after curative resection in early-stage and locoregionally advanced non-small cell lung cancer (NSCLC) are common, necessitating a nuanced understanding of associated risk factors. This study aimed to...
Challenges in Automating Extraction of Real-World Radiographic Images and Adverse Events: Lessons From the ICAREdata Initiative [0.03%]
从ICAREdata计划中获取真实世界的放射图像和不良事件自动提取挑战的经验教训
Steven Piantadosi,Nancy Campbell,Selina Chow et al.
Steven Piantadosi et al.
Validation of a Composite Real-World Mortality Variable Among Patients With Hematologic Malignancies Treated in the United States [0.03%]
在美国接受治疗的血液系统恶性肿瘤患者中复合型现实世界死亡率变量的有效性研究
Sharlene Dong,Ankit Kansagra,Gurbakhash Kaur et al.
Sharlene Dong et al.
Purpose: Accurate survival data are critical for high-quality outcomes research. It has been documented that mortality data capture in the real-world setting may be prone to missingness. Our study sought to evaluate the v...
Observational Study
JCO clinical cancer informatics. 2025 Apr:9:e2400233. DOI:10.1200/CCI-24-00233 2025