• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

将风险因素评估作为潜在的筛查测试:一种简单的评估工具。

Assessing risk factors as potential screening tests: a simple assessment tool.

作者信息

Wald Nicholas J, Morris Joan K

机构信息

Wolfson Institute of Preventive Medicine, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, England.

出版信息

Arch Intern Med. 2011 Feb 28;171(4):286-91. doi: 10.1001/archinternmed.2010.378. Epub 2010 Oct 25.

DOI:10.1001/archinternmed.2010.378
PMID:20975013
Abstract

Many risk factors for disease are suggested as screening tests when there is little prospect that they could be useful in predicting disease. To avoid this, it is useful to know the relationship between the relative risk of a disease or disorder in people with high and low values of a risk factor, and the equivalent screening performance in terms of the detection rate (sensitivity) for a specified false-positive rate. We describe an interactive Risk-Screening Converter, accessible from the Internet (http://www.wolfson.qmul.ac.uk/rsc/), that transforms an odds ratio into the equivalent estimates of detection and false-positive rates. The converter is intended for general clinicians, for people engaged in research into risk factors and disease, and for those who give advice on applying such research findings into medical practice. It should help to distinguish effective screening methods from ineffective ones, and so improve clinical guidelines relating to screening and the prediction and prevention of disease.

摘要

当某些疾病危险因素几乎没有可能用于预测疾病时,它们却被当作筛查测试提了出来。为避免这种情况,了解高风险因素值和低风险因素值人群中某种疾病或病症的相对风险之间的关系,以及在特定假阳性率下等效的筛查检测率(灵敏度)表现,是很有用的。我们介绍了一种交互式风险筛查转换器,可从互联网(http://www.wolfson.qmul.ac.uk/rsc/)获取,它能将比值比转换为检测率和假阳性率的等效估计值。该转换器适用于普通临床医生、从事危险因素和疾病研究的人员,以及那些就将此类研究结果应用于医疗实践提供建议的人。它应有助于区分有效的筛查方法和无效的筛查方法,从而改进与筛查以及疾病预测和预防相关的临床指南。

相似文献

1
Assessing risk factors as potential screening tests: a simple assessment tool.将风险因素评估作为潜在的筛查测试:一种简单的评估工具。
Arch Intern Med. 2011 Feb 28;171(4):286-91. doi: 10.1001/archinternmed.2010.378. Epub 2010 Oct 25.
2
The efficacy of combining several risk factors as a screening test.将多种风险因素结合作为一种筛查测试的效果。
J Med Screen. 2005;12(4):197-201. doi: 10.1258/096914105775220642.
3
Dental screening and referral of young children by pediatric primary care providers.儿科初级保健提供者对幼儿进行牙科筛查和转诊。
Pediatrics. 2004 Nov;114(5):e642-52. doi: 10.1542/peds.2004-1269.
4
Is family history a useful tool for detecting children at risk for diabetes and cardiovascular diseases? A public health perspective.家族病史是检测有患糖尿病和心血管疾病风险儿童的有用工具吗?从公共卫生角度来看。
Pediatrics. 2007 Sep;120 Suppl 2:S78-86. doi: 10.1542/peds.2007-1010G.
5
Risk assessment for prevention of morbidity and mortality: lessons for pressure ulcer prevention.预防发病和死亡的风险评估:压力性溃疡预防的经验教训
J Tissue Viability. 2008 Nov;17(4):115-20. doi: 10.1016/j.jtv.2007.09.005. Epub 2008 Feb 20.
6
Low-cost strategies to predict cardiovascular disease.预测心血管疾病的低成本策略。
Nat Clin Pract Cardiovasc Med. 2008 Sep;5(9):518-9. doi: 10.1038/ncpcardio1294. Epub 2008 Jul 15.
7
Assessing individual cardiac risk using extra-cardiac arterial imaging.使用心外动脉成像评估个体心脏风险。
Expert Rev Cardiovasc Ther. 2010 Apr;8(4):529-43. doi: 10.1586/erc.10.16.
8
Predicting the impact of population level risk reduction in cardio-vascular disease and stroke on acute hospital admission rates over a 5 year period--a pilot study.预测5年内心血管疾病和中风的人群水平风险降低对急性住院率的影响——一项试点研究。
Public Health. 2006 Dec;120(12):1140-8. doi: 10.1016/j.puhe.2006.10.012. Epub 2006 Nov 3.
9
Lipoprotein-associated phospholipase A(2): a promising vascular-specific marker for screening cardiovascular risk?脂蛋白相关磷脂酶A2:一种用于筛查心血管风险的有前景的血管特异性标志物?
Prog Cardiovasc Nurs. 2009 Dec;24(4):181-9. doi: 10.1111/j.1751-7117.2009.00057.x.
10
Sexually transmitted disease risk assessment used among low-risk populations in east central Africa: a review.东中非低风险人群中使用的性传播疾病风险评估:一项综述
East Afr Med J. 1997 Dec;74(12):764-71.

引用本文的文献

1
Performance of polygenic risk scores in screening, prediction, and risk stratification: secondary analysis of data in the Polygenic Score Catalog.多基因风险评分在筛查、预测和风险分层中的表现:多基因评分目录中数据的二次分析
BMJ Med. 2023 Oct 17;2(1):e000554. doi: 10.1136/bmjmed-2023-000554. eCollection 2023.
2
The genetic risk of gestational diabetes in South Asian women.南亚女性妊娠糖尿病的遗传风险。
Elife. 2022 Nov 22;11:e81498. doi: 10.7554/eLife.81498.
3
Multi-marker risk-based screening for prostate cancer.多标志物风险筛查前列腺癌。
J Med Screen. 2022 Jun;29(2):123-133. doi: 10.1177/09691413221076415. Epub 2022 Mar 7.
4
Risk factors in adolescents as predictors of arterial hypertension in adults: Protocol for a systematic review.青少年时期的风险因素对成年人动脉高血压的预测作用:系统综述方案。
PLoS One. 2021 Aug 20;16(8):e0256596. doi: 10.1371/journal.pone.0256596. eCollection 2021.
5
Updated Website Address Throughout Article.文章中更新后的网站地址。
JAMA Intern Med. 2021 Aug 1;181(8):1144. doi: 10.1001/jamainternmed.2021.2878.
6
Will polygenic risk scores for cancer ever be clinically useful?癌症的多基因风险评分会在临床上有用武之地吗?
NPJ Precis Oncol. 2021 May 21;5(1):40. doi: 10.1038/s41698-021-00176-1.
7
Updated Website Address.更新后的网站地址。
JAMA Intern Med. 2021 Aug 1;181(8):1144. doi: 10.1001/jamainternmed.2021.1909.
8
Childhood Obesity as a Predictor of Coronary Artery Disease in Adults: A Literature Review.儿童肥胖作为成人冠状动脉疾病的预测指标:文献综述
Cureus. 2020 Nov 13;12(11):e11473. doi: 10.7759/cureus.11473.
9
Polygenic risk scores for coronary artery disease and subsequent event risk amongst established cases.多基因风险评分与已确诊冠心病患者的后续发病风险。
Hum Mol Genet. 2020 May 28;29(8):1388-1395. doi: 10.1093/hmg/ddaa052.
10
The tyranny of the averages and the indiscriminate use of risk factors in public health: The case of coronary heart disease.公共卫生领域中平均值的暴政以及风险因素的滥用:以冠心病为例。
SSM Popul Health. 2017 Aug 18;3:684-698. doi: 10.1016/j.ssmph.2017.08.005. eCollection 2017 Dec.