瘤学的无试验:特征和报告的横截面分析
Katarzyna Klas1,2, Karolina Strzebonska1, Paola Buedo1
1Faculty of Health Sciences, Research Ethics in Medicine Study Group (REMEDY), Jagiellonian University Medical College, Krakow, Poland.
PloS one
|December 3, 2024
概括
无的早期瘤学试验显示结果报告率较低,只有34.7%的研究披露了研究结果. 1/2期无试验报告的结果比1期无试验更频繁.
科学领域:
- 在瘤学瘤学.
- 临床试验 临床试验
- 药物开发 药物开发
背景情况:
- 无临床试验设计越来越多地被用于加速药物开发,特别是在早期的瘤学研究中.
- 这些设计将多个研究阶段整合到单个试验中,旨在提高效率.
- 然而,无早期瘤学试验的报告率和相关因素仍未得到充分研究.
研究的目的:
- 分析在clinicaltrials.gov.gov上注册的无早期瘤学试验的特征.
- 为了确定这些试验的结果报告率.
- 确定影响无瘤学试验结果报告的因素.
主要方法:
- 通过clinicaltrials.gov.gov的数据进行了一项横截面研究.
- 无早期试验被定义为阶段1/2或阶段1与计划扩展队列.
- 从1051个已完成的试验 (2016-2020年) 中手动提取数据,并使用后勤回归来确定结果报告的预测因素.
主要成果:
- 在1051个无的早期瘤学试验中,只有34.7%的人在clinicaltrials.gov.gov上报告了结果.
- 在首次完成之日起24个月内报告结果的比率为24.0%.
- 1/2期无试验的报告率超过1期无试验的3倍.
结论:
- 很大一部分无的早期瘤学试验在clinicaltrials.gov.gov上报告不完整的结果.
- 低报告率引发了伦理问题,并挑战了不断变化的临床试验设计的透明度.
- 建议对ClinicalTrials.gov进行调整,以更好地适应新兴试验模型并改善数据可访问性.
相关概念视频
Cancer Survival Analysis
328
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...
328
Comparing the Survival Analysis of Two or More Groups
150
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
150


