...
【24h】

REPLY

机译:回复

获取原文
获取原文并翻译 | 示例
           

摘要

We read with great interest the editorial comment regarding our recent publication RL after RP. We, along with other investigators who have examine the postoperative outcomes using similar cohorts,1'5 recognize the inherent limitations of retrospective observational cohorts. However, one should wonder why, despite such limitations, numerous well-designed systematic studies using large population-based cohorts exist? Are all such studies without any clinical value? On the contrary, population-based cohorts come with a number of advantages that institutional databases lack. For one, population-based cohorts generally benefit from a larger number of patients than institutional cohorts. Also, population-based cohorts are composed of a more heterogeneous group of individuals who come from many different hospitals, which can include both teaching and nonteaching centers, situated at various regions throughout the United States. Such characteristics allow clinicians and research scientists to attest whether the findings of select referral centers also apply to the general population. In that regard, studies relying on population-based cohorts play an important role in systematic research, which seeks to address a specific research topic and to test a hypothesis. As such, findings thatoriginate only from population-based cohorts are also insufficient. In fact, both observational and institutional studies, along with prospective randomized trials, are needed to establish the generalizability and validity of any findings.
机译:我们非常感兴趣地阅读了有关RP之后我们最近的出版物RL的社论评论。我们以及其他使用相似队列研究术后结局的研究者[1,5]都认识到回顾性观察队列的固有局限性。然而,人们不禁要问,尽管有这样的局限性,为什么仍然存在大量使用大量人口为基础的同类研究精心设计的系统研究?所有这些研究都没有任何临床价值吗?相反,基于人群的队列具有机构数据库缺乏的许多优势。首先,基于人群的人群通常比机构人群受益于更多的患者。同样,以人群为基础的队列由来自许多不同医院的个体组成,这些人群来自美国不同地区的许多不同医院,其中可能包括教学中心和非教学中心。这些特征使临床医生和研究科学家能够证明选定的转诊中心的发现是否也适用于一般人群。在这方面,依赖人群研究的研究在系统研究中起着重要作用,系统研究旨在解决特定的研究主题并检验假设。因此,仅来自基于人群的队列的发现也不足。实际上,无论是观察性研究还是机构研究,以及前瞻性随机试验,都需要确立任何发现的普遍性和有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号