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首页> 外文期刊>Journal of Surgical Oncology >Development and validation of a nomogram for predicting overall survival of node‐negative ampullary carcinoma
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Development and validation of a nomogram for predicting overall survival of node‐negative ampullary carcinoma

机译:用于预测节点阴性安瓿癌整体存活的载体的开发和验证

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Abstract Background The accuracy of the current staging system for predicting the overall survival (OS) of patients with ampullary carcinoma (AC) is still unsatisfactory, especially in node‐negative (N0) patients. We aimed at establishing a nomogram to accurately predict OS in N0 AC. MethodS This study enrolled 697 N0 AC patients from the Surveillance, Epidemiology, and End Results database (design cohort [DC], n?=?697) and the First Affiliated Hospital of Sun Yat‐sen University (validation cohort [VC], n?=?112), who underwent surgical resection. The nomogram was established by using prognostic factors determined by univariate and multivariate regression analyses. Results The nomogram for OS was developed by using four independent prognostic factors, including age, grade, T stage, and a number of examined lymph nodes. The C‐index of a nomogram for OS in DC and VC was 0.665 and 0.731, respectively. Calibration curves showed good consistency of the nomogram. The nomogram had a better accuracy in predicting OS compared with conventional staging system ( P ??.05). On the basis of nomogram‐predicted scores, the patients were stratified into groups with different risk. The OS of low‐risk patients was significantly longer than high‐risk ones ( P ?≤?.010). Conclusions The nomogram could be used to predict the OS of N0 AC. It could help guide further treatment in clinical practice.
机译:摘要背景下预测患者整体存活率(AC)患者总存活(AC)的准确性仍然不令人满意,特别是在节点阴性(N0)患者中。我们旨在建立一个NOM图来准确预测N0 AC的OS。方法本研究注册了697名N0 AC患者,来自监测,流行病学和最终结果数据库(设计队列[DC],N?= 697)和孙中山大学第一附属医院(验证队列[VC],N ?=?112),谁接受手术切除。通过使用单变量和多元回归分析确定的预后因素来建立罗维图。结果OS的NOM图是通过使用四个独立的预后因素而制定的,包括年龄,等级,T阶段和许多检查的淋巴结。 DC和VC中OS中载体的C折射率分别为0.665和0.731。校准曲线显示了NOM图的良好一致性。与传统分期系统相比,NOM图在预测OS中具有更好的准确性(P?& 05)。在载体预测评分的基础上,患者分层分层,具有不同风险。低风险患者的操作系统显着长于高风险(P?≤≤010)。结论可以使用NOM图来预测N0 AC的OS。它可以帮助指导临床实践中的进一步治疗方法。

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