Suppr超能文献

在一家三甲医院中对肾癌预后模型的验证和比较。

Validation and Comparison of Prognostic Models in Renal Carcinoma in a Tertiary Hospital.

机构信息

Urology Department, Miguel Servet University Hospital, 50009 Zaragoza, Spain.

URO-SERVET, Emerging Research Group, Aragón Health Research Institute (IIS Aragón), 50009 Zaragoza, Spain.

出版信息

Arch Esp Urol. 2024 Jul;77(6):622-631. doi: 10.56434/j.arch.esp.urol.20247706.85.

Abstract

BACKGROUND

Renal cell carcinoma (RCC) is the third most frequent urological neoplasia. Proper risk stratification is essential for adequate management. Various calculators are available. This project aims to evaluate the accuracy of the calculators applied to our patients.

METHODS

We performed a retrospective study of the nephrectomies due to RCC performed from January 2008 to December 2013. We applied the most widely used predictive models (University of California, Los Angeles Integrated Staging System (UISS), Stage, Size, Grade and Necrosis (SSIGN), Memorial Sloan Kettering Cancer Center (MSKCC) and International Metastatic RCC Database Consortium (IMDC)) to stratify patients in different risk groups. We evaluated progression-free survival (PFS) or death caused by RCC (cancer-specific survival (CSS)) or other causes (overall survival (OS)).

RESULTS

We analysed 238 patients. The 5-year OS, CSS and PFS were 76%, 85% and 83%, whereas the 10-year OS, CSS and PFS were 47%, 75% and 77%, respectively. The 5-year survival analysis by risk groups according to the prognostic models showed that the PFS was 0% and 20.4% in high- and intermediate-risk metastatic RCC (mRCC). Moreover, the PFS was 90%, 95.2% and 98.9% in localised high-, intermediate- and low-risk RCC according to the UISS (area under the receiver operating characteristics curve (AUC): 0.93). The SSIGN model showed a CSS of 99% for the group with the lowest score and 5.3% for the group with the worst prognosis (AUC: 0.91). The OS of mRCC showed medians of 13.25 and 87 months according to MSKCC (AUC: 0.75) and 16, 23 and 85 months according to IMDC (AUC: 0.71) (high risk, intermediate and low).

CONCLUSIONS

The validation of the predictive models carried out with our patients showed consistency in many of the results. Risk stratification should be implemented.

摘要

背景

肾细胞癌(RCC)是第三大常见的泌尿系统肿瘤。适当的风险分层对于充分的管理至关重要。目前有多种计算器可供使用。本项目旨在评估这些计算器在我们患者中的准确性。

方法

我们对 2008 年 1 月至 2013 年 12 月期间因 RCC 进行的肾切除术进行了回顾性研究。我们应用了最广泛使用的预测模型(加利福尼亚大学洛杉矶分校综合分期系统(UISS)、分期、大小、分级和坏死(SSIGN)、纪念斯隆凯特琳癌症中心(MSKCC)和国际转移性 RCC 数据库联盟(IMDC))将患者分层为不同的风险组。我们评估了无复发生存(PFS)或由 RCC 引起的死亡(癌症特异性生存(CSS))或其他原因(总体生存(OS))。

结果

我们分析了 238 名患者。5 年 OS、CSS 和 PFS 分别为 76%、85%和 83%,10 年 OS、CSS 和 PFS 分别为 47%、75%和 77%。根据预后模型对高危和中危转移性 RCC(mRCC)患者的 5 年生存率分析显示,高风险和中风险 mRCC 的 PFS 分别为 0%和 20.4%。此外,根据 UISS,局部高、中、低危 RCC 的 PFS 分别为 90%、95.2%和 98.9%(接受者操作特征曲线下面积(AUC):0.93)。SSIGN 模型显示最低评分组的 CSS 为 99%,预后最差组的 CSS 为 5.3%(AUC:0.91)。mRCC 的 OS 根据 MSKCC 中位数为 13.25 和 87 个月(AUC:0.75)和 16、23 和 85 个月根据 IMDC(AUC:0.71)(高风险、中风险和低风险)。

结论

用我们的患者进行的预测模型验证显示,许多结果具有一致性。应实施风险分层。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验