Suppr超能文献

开发并验证一种新型的脂肪肉瘤患者长期总生存预后模型:基于人群的研究。

Development and validation of a novel prognostic model for long-term overall survival in liposarcoma patients: a population-based study.

机构信息

Department of Orthopedics, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.

出版信息

J Int Med Res. 2020 Dec;48(12):300060520975882. doi: 10.1177/0300060520975882.

Abstract

OBJECTIVE

To construct and validate a clinically accurate and histology-specific nomogram to predict overall survival (OS) among liposarcoma (LPS) patients.

METHODS

We retrospectively screened eligible patients with LPS diagnosed between 2004 and 2015 from the Surveillance, Epidemiology, and End Results database. We screened independent predictors for the nomogram using univariate and multivariate analyses. We then evaluated the prognostic accuracy of the nomogram by receiver operating characteristic (ROC) curve analysis and Harrell's concordance index. The prognostic performances of the nomogram and the American Joint Committee on Cancer (AJCC) seventh edition staging system were compared using integrated discrimination improvement (IDI), net reclassification improvement (NRI), and decision curve analyses (DCA).

RESULTS

A novel nomogram was developed using independent prognostic variables, which exhibited excellent predictive performances for 3- and 5-year OS according to ROC curves. The C-index proved that the proposed nomogram had better prognostic accuracy for LPS than the traditional AJCC system, while the NRI, IDI, and DCA of the nomogram indicated better clinical net benefit.

CONCLUSIONS

The proposed nomogram can predict 3- and 5-year OS of LPS patients with reliable accuracy and may thus help clinicians to develop appropriate clinical therapies and counseling strategies to prolong the life expectancy of these patients.

摘要

目的

构建并验证一种临床准确且具有组织学特异性的列线图,以预测脂肪肉瘤(LPS)患者的总生存期(OS)。

方法

我们回顾性筛选了 2004 年至 2015 年期间从监测、流行病学和最终结果数据库中诊断出的 LPS 患者。我们使用单变量和多变量分析筛选列线图的独立预测因子。然后,我们通过接收者操作特征(ROC)曲线分析和 Harrell 的一致性指数评估列线图的预后准确性。通过整合判别改善(IDI)、净重新分类改善(NRI)和决策曲线分析(DCA)比较列线图和美国癌症联合委员会(AJCC)第七版分期系统的预后性能。

结果

使用独立的预后变量开发了一种新的列线图,ROC 曲线显示其对 3 年和 5 年 OS 具有出色的预测性能。C 指数证明,与传统的 AJCC 系统相比,该列线图对 LPS 的预后准确性更高,而列线图的 NRI、IDI 和 DCA 则表明其具有更好的临床净获益。

结论

该列线图可准确预测 LPS 患者的 3 年和 5 年 OS,因此有助于临床医生制定适当的临床治疗和咨询策略,以延长这些患者的预期寿命。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1318/7731721/fdf2a386e25c/10.1177_0300060520975882-fig1.jpg

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