对于局部晚期胃癌的综合生存名录:基于大量人口的现实研究
Aizezi Maimaiti1,2, Yuan Zhou1,2, Dan Wang1,2
1Department of General Surgery, Xiangya Hospital, Central South University, Changsha, China.
Translational cancer research
|December 22, 2023
概括
这项研究开发了局部晚期胃癌 (LAGC) 总生存率 (OS) 和癌症特异性生存率 (CSS) 的预测性名录. 这些工具有助于临床医生为患有这种疾病的患者做出明智的决定.
科学领域:
- 在瘤学瘤学.
- 医学统计 医学统计
- 癌症研究 癌症研究
背景情况:
- 胃癌仍然是一个重大的全球健康挑战.
- 局部晚期胃癌 (LAGC) 具有复杂的治疗和预后考虑.
- 准确的生存预测对于有效的患者管理至关重要.
研究的目的:
- 在LAGC患者中构建和验证用于预测整体存活率 (OS) 和癌症特异性存活率 (CSS) 的nomograms.
- 确定影响生存结果的关键人口,病理和治疗因素.
- 为临床医生提供一个工具,以改善预后评估和治疗规划.
主要方法:
- 利用了来自监测,流行病学和最终结果 (SEER) 数据库的数据.
- 采用考克斯回归建模来识别生存的独立预测因素.
- 构建了包含13个显著变量,包括年龄,阶段和治疗方式的构建名录.
- 通过使用时间依赖的ROC曲线,DCA,C指数和校准曲线验证的nomogram性能.
主要成果:
- 开发并经过验证的nomograms准确地预测LAGC中的OS和CSS.
- 确定了OS和CSS的13个独立预测因素,包括人口,病理和治疗因素.
- 证明了构造的名ograms 的优越区分能力.
结论:
- 经过验证的诺姆图表作为可靠的工具来预测LAGC的生存率.
- 这些名图可以帮助临床医生做出更明智的治疗决策.
- 这项研究鼓励患者积极参与基于个性化预后的治疗.
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