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运用机器学习方法研究年龄对接受手术的早期肝内胆管癌患者死因的影响。

Using machine learning methods to investigate the impact of age on the causes of death in patients with early intrahepatic cholangiocarcinoma who underwent surgery.

作者信息

Song Shiqin, Song Shixiong, Zhao Huarong, Huang Shike, Xiao Xinghua, Lv Xiaobo, Deng Yuehong, Tao Yiyin, Liu Yanlin, Su Ke, Cheng Shansha

机构信息

Department of Oncology, Hejiang County People's Hospital, Luzhou, Sichuan, China.

Department of Anesthesiology, Guangyuan Central Hospital, Guangyuan, Sichuan, China.

出版信息

Clin Transl Oncol. 2025 Apr;27(4):1623-1631. doi: 10.1007/s12094-024-03716-w. Epub 2024 Sep 11.

Abstract

BACKGROUND

The impact of age on the causes of death (CODs) in patients with early-stage intrahepatic cholangiocarcinoma (ICC) who had undergone surgery was analyzed in this study.

METHODS

A total of 1555 patients (885 in the older group and 670 in the younger group) were included in this study. Before and after applying inverse probability of treatment weighting (IPTW), the different CODs in the 2 groups were further investigated. Additionally, 7 different machine learning models were used as predictive tools to identify key variables, aiming to evaluate the therapeutic outcome in early ICC patients undergoing surgery.

RESULTS

Before (5.92 vs. 4.08 years, P < 0.001) and after (6.00 vs. 4.08 years, P < 0.001) IPTW, the younger group consistently showed longer overall survival (OS) compared with the older group. Before IPTW, there were no significant differences in cholangiocarcinoma-related deaths (CRDs, P = 0.7) and secondary malignant neoplasms (SMNs, P = 0.78) between the 2 groups. However, the younger group had a lower cumulative incidence of cardiovascular disease (CVD, P = 0.006) and other causes (P < 0.001) compared with the older group. After IPTW, there were no differences between the 2 groups in CRDs (P = 0.2), SMNs (P = 0.7), and CVD (P = 0.1). However, the younger group had a lower cumulative incidence of other CODs compared with the older group (P < 0.001). The random forest (RF) model showed the highest C-index of 0.703. Time-dependent variable importance bar plots showed that age was the most important factor affecting the 2-, 4-, and 6-year survival, followed by stage and size.

CONCLUSIONS

Our study confirmed that younger patients have longer OS compared with older patients. Further analysis of the CODs indicated that older patients are more likely to die from CVDs. The RF model demonstrated the best predictive performance and identified age as the most important factor affecting OS in early ICC patients undergoing surgery.

摘要

背景

本研究分析了年龄对接受手术的早期肝内胆管癌(ICC)患者死因的影响。

方法

本研究共纳入1555例患者(老年组885例,年轻组670例)。在应用治疗权重逆概率(IPTW)前后,进一步研究两组不同的死因。此外,使用7种不同的机器学习模型作为预测工具来识别关键变量,旨在评估接受手术的早期ICC患者的治疗结果。

结果

在IPTW之前(5.92岁对4.08岁,P < 0.001)和之后(6.00岁对4.08岁,P < 0.001),年轻组的总生存期(OS)始终比老年组长。在IPTW之前,两组之间的胆管癌相关死亡(CRD,P = 0.7)和继发性恶性肿瘤(SMN,P = 0.78)没有显著差异。然而,与老年组相比,年轻组心血管疾病(CVD,P = 0.006)和其他原因(P < 0.001)的累积发生率较低。在IPTW之后,两组在CRD(P = 0.2)、SMN(P = 0.7)和CVD(P = 0.1)方面没有差异。然而,与老年组相比,年轻组其他死因的累积发生率较低(P < 0.001)。随机森林(RF)模型显示最高C指数为0.703。时间依赖性变量重要性条形图显示,年龄是影响2年、4年和6年生存率的最重要因素,其次是分期和肿瘤大小。

结论

我们的研究证实,年轻患者比老年患者的OS更长。对死因的进一步分析表明,老年患者更有可能死于心血管疾病。RF模型显示出最佳的预测性能,并确定年龄是影响接受手术的早期ICC患者OS的最重要因素。

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