单个生存预测模型用于患有勒普托门叶转移的患者
Noraworn Jirattikanwong1,2, Chaiyut Charoentum3, Niphitphon Phenphinan4
1Center for Clinical Epidemiology and Clinical Statistics, Faculty of Medicine, Chiang Mai University, 110 Intawaroros, Si Phum, Muang, Chiang Mai 50200, Thailand.
Japanese journal of clinical oncology
|November 20, 2024
概括
一种名为LMsurv的新模型预测了使用癌症类型,大脑和脊髓症状的乳腺转移 (LM) 患者的生存率. 这种实用工具有助于在资源有限的环境中做出临床决策.
科学领域:
- 在瘤学瘤学.
- 神经学 神经学
- 生物统计学 生物统计学
背景情况:
- 对于患者的管理来说,预测乳腺瘤转移 (LM) 的存活率至关重要.
- 现有的LM预后模型是有限的,通常需要在资源有限的环境中无法获得的数据.
- 对于LM患者来说,需要一个实用的,个性化的生存预测模型.
研究的目的:
- 开发和验证一个实用的,个性化的生存预测模型,用于诊断为乳腺瘤转移 (LM) 的患者.
主要方法:
- 研究了通过脑脊髓液分析诊断的161名LM患者的回顾性队列.
- 灵活的参数生存分析被用来开发预后模型.
- 模型预测因素包括癌症类型,大脑症状和脊髓症状;性能被评估为歧视和校准.
主要成果:
- 使用三个预测因素 (癌症类型,大脑症状,脊柱症状) 的LMsurv模型被开发出来.
- 该模型显示了可接受的歧视 (C统计:0.72) 和在3,6和12个月的校准.
- 在该队列中记录了133个事件.
结论:
- LMsurv模型为预测LM患者的生存期提供了可接受的性能.
- 这个模型可以帮助临床医生做出决策,特别是在资源有限的环境中.
- 建议进行外部验证,以确认模型的通用性.
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