现代随机临床试验:是时候磨刀了吗?

J. Wittes
{"title":"现代随机临床试验:是时候磨刀了吗?","authors":"J. Wittes","doi":"10.1515/scid-2019-0005","DOIUrl":null,"url":null,"abstract":"Abstract In spite of the obvious differences in the diseases under study, designs of trials of prevention of HIV and cardiovascular disease share some common features. A trial of prevention should identify a population at risk for the disease; it should have a clearly defined, clinically important, outcome; it should be large enough to have sufficient power to detect an effect of public health importance; and participants should be followed long enough for the effect of the intervention to become manifest (but the trial should not take so long as to render the intervention no longer of interest). Many cardiovascular prevention studies have been large, simple, randomized trials leading to easily interpretable results. This paper urges that designers of trials of HIV prevention should consider mimicking the strategies used in cardiovascular disease prevention trials: focus on a clear inferential path to the question being asked while limiting unnecessary data collection, auditing, and complexity. Finally, showing benefit in a trial is only the first step in reducing the burden of disease: aggressive, effective efforts at educating the population at risk so they will implement the intervention is essential to improvement in public health.","PeriodicalId":74867,"journal":{"name":"Statistical communications in infectious diseases","volume":"11 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Modern Randomized Clinical Trial: Is it Time to Sharpen a Blunt Instrument?\",\"authors\":\"J. Wittes\",\"doi\":\"10.1515/scid-2019-0005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract In spite of the obvious differences in the diseases under study, designs of trials of prevention of HIV and cardiovascular disease share some common features. A trial of prevention should identify a population at risk for the disease; it should have a clearly defined, clinically important, outcome; it should be large enough to have sufficient power to detect an effect of public health importance; and participants should be followed long enough for the effect of the intervention to become manifest (but the trial should not take so long as to render the intervention no longer of interest). Many cardiovascular prevention studies have been large, simple, randomized trials leading to easily interpretable results. This paper urges that designers of trials of HIV prevention should consider mimicking the strategies used in cardiovascular disease prevention trials: focus on a clear inferential path to the question being asked while limiting unnecessary data collection, auditing, and complexity. Finally, showing benefit in a trial is only the first step in reducing the burden of disease: aggressive, effective efforts at educating the population at risk so they will implement the intervention is essential to improvement in public health.\",\"PeriodicalId\":74867,\"journal\":{\"name\":\"Statistical communications in infectious diseases\",\"volume\":\"11 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Statistical communications in infectious diseases\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1515/scid-2019-0005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistical communications in infectious diseases","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/scid-2019-0005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

尽管所研究的疾病有明显的差异,但预防HIV和心血管疾病的试验设计有一些共同的特点。预防试验应确定有患病风险的人群;它应该有一个明确定义的、重要的临床结果;它应该足够大,有足够的力量来发现对公共卫生重要的影响;参与者应该被跟踪足够长的时间,以使干预的效果变得明显(但试验不应该花太长时间,以至于使干预不再令人感兴趣)。许多心血管预防研究都是大型、简单、随机试验,结果容易解释。本文敦促艾滋病毒预防试验的设计者应考虑模仿心血管疾病预防试验中使用的策略:在限制不必要的数据收集、审计和复杂性的同时,重点关注所问问题的明确推断路径。最后,在试验中显示益处只是减轻疾病负担的第一步:积极有效地教育有风险的人群,使他们能够实施干预措施,这对改善公共卫生至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
The Modern Randomized Clinical Trial: Is it Time to Sharpen a Blunt Instrument?
Abstract In spite of the obvious differences in the diseases under study, designs of trials of prevention of HIV and cardiovascular disease share some common features. A trial of prevention should identify a population at risk for the disease; it should have a clearly defined, clinically important, outcome; it should be large enough to have sufficient power to detect an effect of public health importance; and participants should be followed long enough for the effect of the intervention to become manifest (but the trial should not take so long as to render the intervention no longer of interest). Many cardiovascular prevention studies have been large, simple, randomized trials leading to easily interpretable results. This paper urges that designers of trials of HIV prevention should consider mimicking the strategies used in cardiovascular disease prevention trials: focus on a clear inferential path to the question being asked while limiting unnecessary data collection, auditing, and complexity. Finally, showing benefit in a trial is only the first step in reducing the burden of disease: aggressive, effective efforts at educating the population at risk so they will implement the intervention is essential to improvement in public health.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Study design approaches for future active-controlled HIV prevention trials. The role of randomization inference in unraveling individual treatment effects in early phase vaccine trials. Nonlinear mixed-effects models for HIV viral load trajectories before and after antiretroviral therapy interruption, incorporating left censoring. Estimation and interpretation of vaccine efficacy in COVID-19 randomized clinical trials Sample size calculation for active-arm trial with counterfactual incidence based on recency assay.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1