开发一个基于Web的交互工具,用于可视化乳腺癌临床试验耐受性数据
Michael Luu1, Gillian Gresham1, Lynn Henry2
1Cedars Sinai Medical Center, Department of Computational Biomedicine, Los Angeles, CA.
JCO clinical cancer informatics
|July 16, 2024
概括
这项研究引入了一个交互式网络应用程序,用于可视化临床试验中的患者耐受性数据. 该工具有助于临床医生和研究人员探索不良事件和患者报告的结果,以获得更好的治疗见解.
科学领域:
- 临床试验方法论 临床试验方法论
- 数据可视化数据可视化
- 患者报告的结果.
背景情况:
- 来自临床试验的长度患者耐受性数据通常以掩盖有价值的见解的方式进行总结.
- 现有的方法可能无法完全捕捉患者的治疗经验.
研究的目的:
- 开发一个交互式Web应用程序,用于探索和可视化患者耐受性数据.
- 为临床医生和研究人员提供增强的数据分析能力.
主要方法:
- 利用了NSABP-B35第三期临床试验中的不良事件 (AE) 数据和患者报告的结果 (PRO).
- 使用R和Shiny开发了一个交互式Web应用程序,并结合了Sankey图表.
- 实现了四个工具:AE Explorer,PRO Explorer,队列 Explorer和自定义 Explorer用于数据可视化.
主要成果:
- 通过NSABP-B35和NSABP-B30试验的例子证明了应用程序的实用性.
- 用户可以在特定的时间段内可视化和比较AEs和PRO的治疗方法.
- 队列探索器允许根据症状和严重程度可视化患者子组,而自定义探索器支持上传用户数据.
结论:
- 为探索和可视化临床试验耐受性数据,开发了一个交互式Web应用程序.
- 该工具可适应其他临床试验数据,并可以增强患者和临床医生的治疗决策讨论.
更多相关视频
07:41Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
8.9K
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
246
相关概念视频
01:11Clinical Trials: Overview
2.9K
Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
2.9K
02:43Mouse Models of Cancer Study
5.5K
Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
5.5K
01:21Cancer Survival Analysis
336
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
336