Suppr超能文献

早期膀胱癌检测筛查方案的进展

Advances in screening protocols for the detection of early bladder cancer.

作者信息

Geller A C, Brooks D R, Barber C E, Koh H K, Lew R A, Wax S, Prout M N

机构信息

Boston University School of Public Health, MA 02118.

出版信息

J Occup Med. 1990 Sep;32(9):929-35. doi: 10.1097/00043764-199009000-00036.

Abstract

Bladder cancer screening faces several obstacles, including low yield, numerous false-positive results, and the absence of a single effective screening test. We present a model of a screening program that (1) targets an occupational cohort exposed to a putative carcinogen, to increase the detection of disease, (2) uses four screening tests in parallel to maximize case detection, and (3) defines a diagnostic protocol that minimizes the number of invasive procedures by utilizing both flexible and rigid cystoscopy. In a hypothetical cohort of 1000 men aged 45 to 74 years potentially exposed to a bladder carcinogen, the model would find eight of the nine detectable cancers, with a sensitivity of 89% and a specificity of 78%. In addition, the model allows the sensitivities, specificities, and predictive values of the individual screening tests to be compared and evaluated in a single cohort.

摘要

膀胱癌筛查面临诸多障碍,包括检出率低、大量假阳性结果以及缺乏单一有效的筛查测试。我们提出了一种筛查项目模型,该模型(1)针对暴露于假定致癌物的职业队列,以提高疾病检测率;(2)同时使用四项筛查测试以最大限度地发现病例;(3)通过灵活和硬性膀胱镜检查定义一种诊断方案,将侵入性操作的数量降至最低。在一个假设的1000名年龄在45至74岁之间、可能接触膀胱致癌物的男性队列中,该模型能发现9例可检测癌症中的8例,灵敏度为89%,特异度为78%。此外,该模型允许在单个队列中比较和评估各个筛查测试的灵敏度、特异度和预测值。

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