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首个用于预测乳头状肾细胞癌患者的竞争风险生存诺莫图。

The first competing risk survival nomogram in patients with papillary renal cell carcinoma.

机构信息

Department of Urology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.

Department of Thyroid, Breast and Vascular Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.

出版信息

Sci Rep. 2021 Jun 4;11(1):11835. doi: 10.1038/s41598-021-91217-z.

Abstract

There is still a lack of competing risk analysis of patients with papillary renal cell carcinoma (pRCC) following surgery. We performed the cumulative incidence function (CIF) to estimate the absolute risks of cancer-specific mortality (CSM) and other-cause mortality (OCM) of pRCC over time, and constructed a nomogram predicting the probability of 2-, 3- and 5-year CSM based on competing risk regression. A total of 5993 pRCC patients who underwent nephrectomy between 2010 and 2016 were identified from the Surveillance, Epidemiology, and End Results (SEER) database. The 2-, 3-, 5-year CSM rates were 3.2%, 4.4% and 6.5%, respectively, and that of OCM were 3.2%, 5.0% and 9.3%, respectively. The estimates of 5-year cumulative mortality were most pronounced among patients aged > 75 years in OCM (17.0%). On multivariable analyses, age, tumor grade, T stage, N stage, and with or without bone, liver and lung metastases were identified as independent predictors of CSM following surgery and were integrated to generate the nomogram. The nomogram achieved a satisfactory discrimination with the AUC of 0.730 at 5-year, and the calibration curves presented impressive agreements. Taken together, age-related OCM is a significant portion of all-cause mortality in elderly patients and our nomogram can be used for decision-making and patient counselling.

摘要

对于接受手术治疗后的乳头状肾细胞癌(pRCC)患者,目前仍缺乏竞争风险分析。我们通过累积发生率函数(CIF)来估计患者的癌症特异性死亡率(CSM)和其他原因死亡率(OCM)的绝对风险,根据竞争风险回归构建预测 2 年、3 年和 5 年 CSM 概率的列线图。从监测、流行病学和最终结果(SEER)数据库中,我们确定了 2010 年至 2016 年间接受肾切除术的 5993 名 pRCC 患者。2 年、3 年和 5 年 CSM 率分别为 3.2%、4.4%和 6.5%,OCM 率分别为 3.2%、5.0%和 9.3%。在 OCM 中,年龄>75 岁的患者 5 年累积死亡率估计值最为显著(17.0%)。在多变量分析中,年龄、肿瘤分级、T 分期、N 分期以及是否有骨、肝和肺转移被确定为手术后 CSM 的独立预测因素,并将其整合到列线图中。该列线图在 5 年时的 AUC 为 0.730,具有良好的区分度,校准曲线显示出良好的一致性。总之,与年龄相关的 OCM 是老年患者全因死亡率的重要组成部分,我们的列线图可用于决策和患者咨询。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd22/8178392/2d163b6c3f63/41598_2021_91217_Fig1_HTML.jpg

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