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首页> 外文期刊>Cancer causes and control: CCC >Projecting SEER cancer survival rates to the US: an ecological regression approach.
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Projecting SEER cancer survival rates to the US: an ecological regression approach.

机译:向美国预测SEER癌症的存活率:一种生态回归方法。

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摘要

OBJECTIVES: Cancer survival information is available only in areas covered by cancer registration. The objective of this study is to project cancer survival for the entire US as well as states from survival data from the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) program. METHODS: Five-year breast, prostate, and colorectal cancer relative survival rates from SEER are regressed on socioeconomic, demographic, and health variables at the county level. These models are first validated by comparing the observed rates with projected rates for counties not used in the estimation process. RESULTS: Education was the best indicator of longer cancer survival. Other important predictors of the geographical variability of survival varied by cancer site. Better survival was predicted for breast and prostate than for colorectal cancer. CONCULSIONS: Data from cancer registries can be used in ecological models to provide national and state estimates of patients' survival rates. These estimates are useful in targeting areas in which to promote earlier diagnosis or improved access to care, and may also aid in monitoring the quality of survival data collected by individual cancer registries.
机译:目的:癌症生存信息仅在癌症注册所覆盖的区域中可用。这项研究的目的是根据美国国家癌症研究所的监视,流行病学和最终结果(SEER)计划的生存数据来预测整个美国以及各州的癌症生存率。方法:根据县一级的社会经济,人口统计学和健康变量,对SEER的五年乳腺癌,前列腺癌和结肠直肠癌的相对生存率进行了回归。这些模型首先通过将观察到的比率与估计过程中未使用的县的预计比率进行比较来进行验证。结果:教育是癌症更长生存的最好指标。生存的地理变异性的其他重要预测指标因癌症部位而异。乳腺癌和前列腺癌的生存期预计要比大肠癌好。结论:来自癌症登记处的数据可用于生态模型中,以提供国家和州对患者存活率的估计。这些估计值可用于针对那些可促进早期诊断或改善就医机会的领域,也可有助于监测各个癌症登记处收集的生存数据的质量。

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