青少年自杀风险预测模型:系统审查和元分析
Ruitong Li1, Yuchuan Yue2, Xujie Gu1
1School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.
Psychiatry research
|February 23, 2025
概括
青少年自杀风险预测模型显示出强大的预测能力,但高偏差和有限的外部验证需要进一步的临床研究. 关键预测因素包括性别,抑郁症,压力和先前的自我伤害.
科学领域:
- 公共卫生 公共卫生
- 精神病学是一个精神病学.
- 数据科学数据科学数据科学
背景情况:
- 青少年自杀是一个关键的全球公共卫生问题.
- 全球青少年的自杀风险正在上升.
- 开发有效的预测工具至关重要.
研究的目的:
- 系统地审查和评估青少年自杀风险预测模型.
- 确定青少年自杀风险的关键预测因素.
- 为未来风险评估工具的开发提供信息.
主要方法:
- 对国际和中国数据库进行全面搜索.
- 独立的文献选和数据提取.
- 使用PROBAST进行质量评估,并使用Stata/R软件进行元分析.
主要成果:
- 分析了62个模型的25项研究;51项内部验证 (AUC > 0.7).
- 内部验证中的AUC:0.846;外部验证中的AUC:0.810.
- 重要预测因素:性别,抑郁,压力,先前的自杀想法/自伤,吸毒,欺凌,家庭关系.
结论:
- 青少年自杀风险模型显示出出色的预测性能.
- 偏差的高风险和不足的外部验证限制了当前的临床适用性.
- 未来的研究应该专注于确定了改善风险评估的关键预测因素.
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