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建立模型估计癌症患病率的未来趋势。

Modelling to estimate future trends in cancer prevalence.

机构信息

Clinical Operational Research Unit, University College London, London, UK.

出版信息

Health Care Manag Sci. 2011 Sep;14(3):262-6. doi: 10.1007/s10729-011-9149-8. Epub 2011 Feb 23.

Abstract

Recent estimates suggest that there are 2 million people in the UK living with or beyond a diagnosis of cancer and there is increasing attention being given to assessing the health and social care needs of this growing population. A simple analytical model has been constructed to estimate future trends in cancer prevalence, using existing prevalence estimates and trends in cancer incidence and survival. Separate estimates are generated for the contribution to future prevalence due to the current prevalent population and that due to future diagnoses. For the current prevalent population, we adopt a conditional survival model incorporating time since diagnosis in addition to age, tumour type and other factors. We discuss the analytical framework that has been constructed and its intended use in providing information that is useful to those planning health and social care services.

摘要

最近的估计表明,英国有 200 万人被诊断患有癌症或正在与癌症作斗争,人们越来越关注评估这一不断增长的人群的健康和社会护理需求。我们构建了一个简单的分析模型,使用现有的流行率估计和癌症发病率和生存率趋势来估计未来的癌症流行趋势。分别为当前流行人群和未来诊断人群对未来流行率的贡献生成单独的估计。对于当前的流行人群,我们采用了一种条件生存模型,该模型除了年龄、肿瘤类型和其他因素外,还纳入了诊断后时间。我们讨论了所构建的分析框架及其在为规划卫生和社会保健服务的人员提供有用信息方面的预期用途。

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