从未吸烟者肺癌风险预测模型:系统性审查的协议
Alpamys Issanov1, Atul Aravindakshan2, Lorri Puil2
1School of Population and Public Health, University of British Columbia, Vancouver, BC, V6T 1Z3, Canada. alpamys.issanov@ubc.ca.
Diagnostic and prognostic research
|February 12, 2024
概括
本系统性审查确定了从不吸烟者肺癌风险预测模型. 它旨在指导为这个日益增长的高风险人口开发查计划.
科学领域:
- 在瘤学瘤学.
- 流行病学 流行病学
- 生物统计学 生物统计学
背景情况:
- 肺癌是全球癌症死亡的主要原因之一.
- 越来越多的肺癌病例发生在从未吸烟的人群中.
- 目前的查指南不包括从未吸烟者,需要有针对性的风险评估.
研究的目的:
- 对从未吸烟者肺癌风险预测现有模型进行系统审查.
- 确定开发有针对性的查策略的模型.
- 为预防肺癌的临床决策和政策提供信息.
主要方法:
- 在多个数据库 (MEDLINE,Embase,科学网,Scopus,欧洲PMC) 中进行全面的电子搜索.
- 独立的标题/摘要选,全文审查和两名审查员使用Covidence和CHARMS提取数据.
- 使用PROBAST进行偏差风险评估;对外部验证模型的潜在元分析.
主要成果:
- 该审查将确定和总结目前的风险预测模型,用于从未吸烟者肺癌的风险预测.
- 将评估模型性能 (校准,区分),并探索异质性.
- 这些发现将突出适合临床应用和进一步研究的模型.
结论:
- 鉴定的风险预测模型对于研究人员和临床医生来说至关重要.
- 这些模型将有助于为从不吸烟者开发有效的肺癌查策略.
- 该审查支持明智的临床决策和政策制定.
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