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利用监测、流行病学和最终结果数据库分析理想的临界年龄作为分化型甲状腺癌预测指标的情况。

Analysis of the ideal cutoff age as a predictor of differentiated thyroid cancer using the Surveillance, Epidemiology, and End Results database.

作者信息

Peng Hui, Zheng Minglin, Li Jing-Ying, Jin Zhaohui

机构信息

Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, China.

出版信息

Transl Cancer Res. 2024 Aug 31;13(8):4278-4289. doi: 10.21037/tcr-24-247. Epub 2024 Aug 6.

Abstract

BACKGROUND

It has been discovered that the prognosis of patients with differentiated thyroid cancer (DTC) correlates with age at initial diagnosis. However, there are disagreements over the optimal cutoff age among the numerous staging and risk stratification criteria, which make it inconsistent to predict the clinical prognosis of specific DTC patients. This study aimed to determine the optimum cutoff age for diagnosis in relation to the clinical outcomes of DTC using data from the Surveillance, Epidemiology and End Results (SEER) database.

METHODS

The best age cutoff value was determined by the X-tile software. The link between clinical characteristics and cancer-specific survival (CSS) was examined using univariate and multivariate Cox regression models. An additional application of the independent prognostic criteria, such as age stratifications, was applied to construct a nomogram model for predicting the chances of patient survival.

RESULTS

The most accurate diagnosis cutoff age for DTC patients was suggested to be 67 years old. The multivariate analysis, using factors determined by univariate analysis, showed that age [>67 years, hazard rate (HR) =5.049, 95% confidence interval (CI): 4.509-5.653, P<0.001], sex (female, HR =0.651, 95% CI: 0.584-0.727, P<0.001), tumor size (>20 and ≤40 mm, HR =2.296, 95% CI: 1.983-2.658, P<0.001; >40 mm, HR =4.976, 95% CI: 4.304-5.752, P<0.001), lymphadenectomy (HR =1.337, 95% CI: 1.186-1.506, P<0.001), distant metastasis (HR =12.166, 95% CI: 10.749-13.769, P<0.001) and surgical treatment (HR =0.173, 95% CI: 0.144-0.210, P<0.001) were independent factors for CSS. Patients in the high-risk group had worse survival rates, and the C-index for the CSS prediction model with age (cutoff of 67) and other independent clinicopathological variables was 0.906.

CONCLUSIONS

Accordingly, the optimal cutoff age for predicting death from DTC specifically is 67 years old at the time of the initial diagnosis. It might be a more suitable factor when used in risk stratification for patients with DTC.

摘要

背景

已发现分化型甲状腺癌(DTC)患者的预后与初次诊断时的年龄相关。然而,在众多分期和风险分层标准中,关于最佳截断年龄存在分歧,这使得预测特定DTC患者的临床预后不一致。本研究旨在利用监测、流行病学和最终结果(SEER)数据库的数据,确定与DTC临床结局相关的最佳诊断截断年龄。

方法

通过X-tile软件确定最佳年龄截断值。使用单变量和多变量Cox回归模型检查临床特征与癌症特异性生存(CSS)之间的联系。应用年龄分层等独立预后标准构建预测患者生存机会的列线图模型。

结果

建议DTC患者最准确的诊断截断年龄为67岁。多变量分析使用单变量分析确定的因素,结果显示年龄[>67岁,风险率(HR)=5.049,95%置信区间(CI):4.509 - 5.653,P<0.001]、性别(女性,HR =0.651,95%CI:0.584 - 0.727,P<0.001)、肿瘤大小(>20且≤40mm,HR =2.296,95%CI:1.983 - 2.658,P<0.001;>40mm,HR =4.976,95%CI:4.304 - 5.752,P<0.001)、淋巴结清扫术(HR =1.337,95%CI:1.186 - 1.506,P<0.001)、远处转移(HR =12.166,95%CI:10.749 - 13.769,P<0.001)和手术治疗(HR =0.173,95%CI:0.144 - 0.210,P<0.001)是CSS的独立因素。高危组患者的生存率较差,包含年龄(截断值为67)和其他独立临床病理变量的CSS预测模型的C指数为0.906。

结论

因此,预测DTC死亡的最佳截断年龄在初次诊断时为67岁。在DTC患者的风险分层中使用时,它可能是一个更合适的因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d75/11384314/c7dea9ae26ea/tcr-13-08-4278-f1.jpg

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