在基于SEER数据库的基础上,开发和验证用于同步原发性甲状腺癌和乳腺癌患者的预后预测的诺姆图
Miao Huo1, Jianfei Zhang2, Minna Hou1
1Department of Anesthesiology, Shaanxi Provincial People's Hospital, Xi'an, China.
Cancer investigation
|March 25, 2024
概括
一种新型的诺米图准确地预测了同步甲状腺癌和乳腺癌 (TBC) 患者的5年和10年生存期. 该工具有助于风险分层,并提高了结核病管理的预后准确性.
科学领域:
- 在瘤学瘤学.
- 癌症预后 癌症预后
- 生物统计学 生物统计学
背景情况:
- 同步的甲状腺癌和乳腺癌 (TBC) 是罕见的,需要准确的预后模型.
- 现有的模型可能无法完全捕捉结合TBC预后的复杂性.
研究的目的:
- 开发和验证同步结核病患者的生存预测模型.
- 确定影响结核病患者预后的关键因素.
主要方法:
- 使用了监测,流行病学和最终结果 (SEER) 数据库.
- 开发了一种纳米图,包含了诸如癌症阶段,年龄和治疗等因素.
- 使用C统计,ROC曲线和决策曲线分析验证了名图.
主要成果:
- 诺米图表显示出强大的预测性能 (C统计值0.79-0.82).
- 关键预测因素包括癌症阶段,患者年龄和同位素治疗.
- 该模型有效地将患者分为高风险和低风险组,具有显著的生存差异 (P < 0.0001).
结论:
- 经过验证的诺姆图可以可靠地预测同步结核病患者的存活率.
- 这个工具可以帮助临床医生进行个性化风险评估和治疗规划.
- 这些发现为管理TBC和推进癌症研究提供了有价值的见解.
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