UNASSIGNED: Patients diagnosed with stage I-III SRCC between 2010 and 2019 were identified from the Surveillance, Epidemiology, and End Results database. The formula calculating CS was: CS(x|y) = S(x+y)/S(x), where S(x) represents the survival at x years. CS nomograms were then constructed to predict the 5-year conditional OS and CSS, followed by internal validation.
UNASSIGNED: A total of 944 colorectal SRCC patients were finally identified in this study. The 5-year OS and CSS improved gradually with additional survival time. Univariate and multivariate Cox regression analysis conducted in training set revealed that age, race, T stage, LNR, and perineural invasion were independent risk factors for both OS and CSS. Two nomograms with considerable predictive ability were successfully constructed [area under the curve (AUC) for OS: 0.788; AUC for CSS: 0.847] and validated (AUC for OS: 0.773; AUC for CSS: 0.799) for the prediction of 5-year OS and CSS, based on the duration of 1-4 years post-surgery survival.
UNASSIGNED: The probability of achieving 5-year OS and 5-year CSS in colorectal SRCC patients improved gradually with additional time. Conditional nomograms considering survival time will be more reliable and informative for risk stratification and postoperative follow-up.
■从监测中确定了2010年至2019年被诊断为I-III期SRCC的患者。流行病学,和结束结果数据库。计算CS的公式为:CS(x|y)=S(x+y)/S(x),其中S(x)代表x年的存活率。然后构造CS列线图来预测5年的条件OS和CSS,其次是内部验证。
■本研究最终确定了944例结直肠SRCC患者。随着生存时间的增加,5年OS和CSS逐渐改善。在训练集中进行的单变量和多变量Cox回归分析显示,年龄,种族,T级,LNR,神经周浸润是OS和CSS的独立危险因素。成功构建了两个具有相当预测能力的列线图[OS的曲线下面积(AUC):0.788;CSS的AUC:0.847],并进行了验证(OS的AUC:0.773;CSS的AUC:0.799),用于预测5年OS和CSS,基于手术后1-4年的生存期。
■结直肠SRCC患者达到5年OS和5年CSS的概率随着时间的增加而逐渐提高。考虑生存时间的条件列线图对于风险分层和术后随访将更可靠和有意义。