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首页> 外文期刊>Disease Prevention Daily. >Researchers from Sichuan University Detail Findings in Cancer (Development and Validation of Nomograms for Predicting Survival and Recurrence In Patients With Parotid Gland Cancer)
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Researchers from Sichuan University Detail Findings in Cancer (Development and Validation of Nomograms for Predicting Survival and Recurrence In Patients With Parotid Gland Cancer)

机译:来自四川大学的研究人员的细节发现癌症(开发和验证诺模图预测生存和复发患者腮腺癌)

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2021 SEP 17 (NewsRx) - By a News Reporter-Staff News Editor at Disease Prevention Daily - New research on Cancer is the subject of a report. According to news reporting originating from Chengdu, People's Republic of China, by NewsRx correspondents, research stated, "To develop nomograms for predicting recurrence risk and long-term survival in patients with parotid gland cancer (PGC). A total of 301 consecutive patients with PGC who underwent surgery were enrolled and randomly divided into a training cohort (n=210) and a validation cohort (n=91)." Financial support for this research came from National Natural Science Foundation of China (NSFC). Our news editors obtained a quote from the research from Sichuan University, "Predictive nomograms were constructed based on the independent indicators of overall survival (OS) and disease-free survival (DFS) as determined by multivariate Cox regression analysis. The discrimination and calibration of nomograms were evaluated using C-indices and calibration curves. Six independent predictors of OS were identified. Incorporating these factors, the nomogram showed good concordance statistics of 0.84 and 0.78 in predicting the 5-year OS in the training and validation cohorts. Five independent predictors of DFS were identified and integrated into the nomogram. The concordance statistics were 0.84 and 0.74 in predicting the 5-year DFS in the training and validation cohorts.
机译:2021年9月17日(NewsRx)——由一个新闻记者新闻编辑在日常——新疾病预防癌症研究的主题报告。据新闻报道来自成都、中华人民共和国、NewsRx记者,研究指出:“发展诺模图预测复发和风险长期生存患者腮腺癌症(包括)。与包括入学,接受手术的人随机分为培训组(n = 210)和一个验证组(n = 91)。”支持这项研究来自国家中国自然科学基金会(国家自然科学基金委)。新闻编辑引用研究获得的从四川大学,“预测列线图建立了基于独立总生存期(OS)和指标无病生存期(DFS)所决定多变量Cox回归分析。歧视和校准的诺模图评估使用C-indices和校准曲线。6操作系统被确定的独立预测指标。结合这些因素,计算图表显示良好的一致性统计的0.84和0.78预计5年培训和操作系统验证组。DFS的识别并集成到列线图。和0.74的5年DFS在预测培训和验证军团。

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