临床研究报告中的表格,列表和数字 - - 质量还是数量?
Ning Li1, Yaohua Zhang2, Naitee Ting3
1Department of Evidence Generation and Decision Science, Sanofi, Beijing, China.
Journal of biopharmaceutical statistics
|November 11, 2025
概括
临床试验研究报告 (CSR) 中过度的统计表,列表和数字 (TLF) 可以掩盖关键发现和浪费资源. 本文解决了这个问题,提供解决方案,以提高药物研究文档的清晰度和效率.
科学领域:
- 制药行业 制药行业 制药行业
- 临床试验报告报告
- 科学传播是科学传播.
背景情况:
- 临床试验研究报告 (CSR) 通常包含许多统计表,列表和数字 (TLF).
- 虽然一些TLF对数据解释至关重要,但许多TLF是多余的.
- 这种过剩可能会对审查员的理解和资源分配产生负面影响.
研究的目的:
- 在CSR中确定过度TLF的问题.
- 探索冗余TLFs的不利后果.
- 为优化TLF内容提出实际解决方案.
主要方法:
- 文献综述和分析制药行业文档中常见的做法.
- 案例研究示例,说明过度TLFs的影响.
- 为高效的TLF生成和纳入制定建议.
主要成果:
- 冗余的TLFs可以混审查员,模糊关键药物见解,并导致资源浪费.
- 不必要的TLF的流行是制药研究中的一个重大挑战.
- 优化TLF内容可以提高国家建议书的清晰度和效率.
结论:
- 在CSR中减少冗余的TLF对于有效的科学沟通至关重要.
- 实施实际解决方案可以提高临床试验报告的质量,降低临床试验报告的成本.
- 简化TLF生成支持更好地了解药物特性和试验结果.
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