The Huashan risk calculators performed better in prediction of prostate cancer in Chinese population: a training study followed by a validation study

计算器 医学 风险评估 队列 人口 前列腺癌 队列研究 接收机工作特性 前列腺特异性抗原 肿瘤科 内科学 癌症 计算机科学 环境卫生 计算机安全 操作系统
作者
Yishuo Wu,Ning Zhang,Shenghua Liu,Jianfeng Xu,Shijun Tong,Yong Cai,Limin Zhang,Peide Bai,Mengbo Hu,Haowen Jiang,Rong Na,Qiang Ding,Yinghao Sun
出处
期刊:Asian Journal of Andrology [Medknow]
卷期号:18 (6): 925-925 被引量:14
标识
DOI:10.4103/1008-682x.181192
摘要

The performances of the Prostate Cancer Prevention Trial (PCPT) risk calculator and other risk calculators for prostate cancer (PCa) prediction in Chinese populations were poorly understood. We performed this study to build risk calculators (Huashan risk calculators) based on Chinese population and validated the performance of prostate-specific antigen (PSA), PCPT risk calculator, and Huashan risk calculators in a validation cohort. We built Huashan risk calculators based on data from 1059 men who underwent initial prostate biopsy from January 2006 to December 2010 in a training cohort. Then, we validated the performance of PSA, PCPT risk calculator, and Huashan risk calculators in an observational validation study from January 2011 to December 2014. All necessary clinical information were collected before the biopsy. The results showed that Huashan risk calculators 1 and 2 outperformed the PCPT risk calculator for predicting PCa in both entire training cohort and stratified population (with PSA from 2.0 ng ml−1 to 20.0 ng m). In the validation study, Huashan risk calculator 1 still outperformed the PCPT risk calculator in the entire validation cohort (0.849 vs 0.779 in area under the receiver operating characteristic curve [AUC] and stratified population. A considerable reduction of unnecessary biopsies (approximately 30%) was also observed when the Huashan risk calculators were used. Thus, we believe that the Huashan risk calculators (especially Huashan risk calculator 1) may have added value for predicting PCa in Chinese population. However, these results still needed further evaluation in larger populations.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
苏汝帆发布了新的文献求助10
刚刚
胡江发布了新的文献求助10
刚刚
腿腿发布了新的文献求助10
刚刚
我要留学应助粥游天下采纳,获得20
1秒前
w123完成签到,获得积分10
2秒前
气敏侠完成签到,获得积分10
2秒前
久旱逢甘霖完成签到 ,获得积分10
2秒前
彭于晏应助xiaoran采纳,获得10
3秒前
adq完成签到,获得积分10
3秒前
小小K发布了新的文献求助10
3秒前
Ben发布了新的文献求助10
3秒前
Dream_fai完成签到,获得积分10
3秒前
果果发布了新的文献求助10
3秒前
英俊的铭应助淡定采纳,获得30
3秒前
量子星尘发布了新的文献求助10
4秒前
4秒前
浮游应助细心小鸭子采纳,获得10
4秒前
飞快的从丹完成签到,获得积分10
4秒前
5秒前
科研通AI2S应助Ztx采纳,获得10
5秒前
小林野发布了新的文献求助10
6秒前
怕黑的凌柏完成签到,获得积分10
6秒前
虚影发布了新的文献求助10
6秒前
6秒前
7秒前
CROWN完成签到,获得积分10
7秒前
7秒前
田様应助piers采纳,获得10
7秒前
7秒前
隐形曼青应助我爱科研采纳,获得30
7秒前
bbb完成签到,获得积分10
8秒前
lcjynwe完成签到,获得积分10
8秒前
8秒前
小二郎应助愉快的楷瑞采纳,获得10
9秒前
科研通AI6应助小绵羊采纳,获得10
9秒前
9秒前
9秒前
Ava应助868采纳,获得10
9秒前
一叶舟完成签到 ,获得积分10
10秒前
xiaozhou完成签到,获得积分10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
计划经济时代的工厂管理与工人状况(1949-1966)——以郑州市国营工厂为例 500
INQUIRY-BASED PEDAGOGY TO SUPPORT STEM LEARNING AND 21ST CENTURY SKILLS: PREPARING NEW TEACHERS TO IMPLEMENT PROJECT AND PROBLEM-BASED LEARNING 500
The Pedagogical Leadership in the Early Years (PLEY) Quality Rating Scale 410
Modern Britain, 1750 to the Present (第2版) 300
Writing to the Rhythm of Labor Cultural Politics of the Chinese Revolution, 1942–1976 300
Lightning Wires: The Telegraph and China's Technological Modernization, 1860-1890 250
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 催化作用 遗传学 冶金 电极 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 4600144
求助须知:如何正确求助?哪些是违规求助? 4010398
关于积分的说明 12416277
捐赠科研通 3690163
什么是DOI,文献DOI怎么找? 2034179
邀请新用户注册赠送积分活动 1067543
科研通“疑难数据库(出版商)”最低求助积分说明 952426