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本文引用的文献

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Assessing non-cancer-related health status of US cancer patients: other-cause survival and comorbidity prevalence.评估美国癌症患者的非癌症相关健康状况:其他原因生存率和合并症患病率。
Am J Epidemiol. 2013 Aug 1;178(3):339-49. doi: 10.1093/aje/kws580. Epub 2013 Jul 3.
2
The Cancer Survival Query System: making survival estimates from the Surveillance, Epidemiology, and End Results program more timely and relevant for recently diagnosed patients.癌症生存查询系统:使监测、流行病学和最终结果计划中的生存估计更加及时和相关,以适应最近诊断的患者。
Cancer. 2012 Nov 15;118(22):5652-62. doi: 10.1002/cncr.27615. Epub 2012 May 8.
3
Coping with uncertainty: T1a,bN0M0 HER2-positive breast cancer, do we have a treatment threshold?应对不确定性:T1a,bN0M0 HER2 阳性乳腺癌,我们有治疗阈值吗?
Ann Oncol. 2011 Nov;22(11):2387-2393. doi: 10.1093/annonc/mdq786. Epub 2011 Mar 15.
4
Predictors of competing mortality in early breast cancer.早期乳腺癌竞争死亡率的预测因素。
Cancer. 2010 Dec 1;116(23):5365-73. doi: 10.1002/cncr.25370. Epub 2010 Aug 24.
5
Predictive and prognostic models in radical prostatectomy candidates: a critical analysis of the literature.根治性前列腺切除术候选者的预测和预后模型:文献的批判性分析。
Eur Urol. 2010 Nov;58(5):687-700. doi: 10.1016/j.eururo.2010.07.034. Epub 2010 Aug 6.
6
Critical review of prostate cancer predictive tools.前列腺癌预测工具的批判性评价。
Future Oncol. 2009 Dec;5(10):1555-84. doi: 10.2217/fon.09.121.
7
Predictors of competing mortality in advanced head and neck cancer.晚期头颈部癌症竞争死亡率的预测因素。
J Clin Oncol. 2010 Jan 1;28(1):15-20. doi: 10.1200/JCO.2008.20.9288. Epub 2009 Nov 23.
8
Rethinking screening for breast cancer and prostate cancer.重新思考乳腺癌和前列腺癌的筛查
JAMA. 2009 Oct 21;302(15):1685-92. doi: 10.1001/jama.2009.1498.
9
Predicting life expectancy in prostate cancer patients.预测前列腺癌患者的预期寿命。
Curr Opin Support Palliat Care. 2009 Sep;3(3):166-9. doi: 10.1097/SPC.0b013e32832e9c80.
10
U.S. decennial life tables for 1999-2001, United States life tables.1999 - 2001年美国十年期生命表,美国生命表。
Natl Vital Stat Rep. 2008 Aug 5;57(1):1-36.

调整了合并症的生存表更准确地估计了最近诊断出癌症的患者的非癌症生存率。

Life tables adjusted for comorbidity more accurately estimate noncancer survival for recently diagnosed cancer patients.

机构信息

Division of Cancer Control and Population Sciences, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD 20892, USA.

出版信息

J Clin Epidemiol. 2013 Dec;66(12):1376-85. doi: 10.1016/j.jclinepi.2013.07.002. Epub 2013 Sep 10.

DOI:10.1016/j.jclinepi.2013.07.002
PMID:24035494
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3934002/
Abstract

OBJECTIVES

To provide cancer patients and clinicians with more accurate estimates of a patient's life expectancy with respect to noncancer mortality, we estimated comorbidity-adjusted life tables and health-adjusted age.

STUDY DESIGN AND SETTING

Using data from the Surveillance Epidemiology and End Results-Medicare database, we estimated comorbidity scores that reflect the health status of people who are 66 years of age and older in the year before cancer diagnosis. Noncancer survival by comorbidity score was estimated for each age, race, and sex. Health-adjusted age was estimated by systematically comparing the noncancer survival models with US life tables.

RESULTS

Comorbidity, cancer status, sex, and race are all important predictors of noncancer survival; however, their relative impact on noncancer survival decreases as age increases. Survival models by comorbidity better predicted noncancer survival than the US life tables. The health-adjusted age and national life tables can be consulted to provide an approximate estimate of a person's life expectancy, for example, the health-adjusted age of a black man aged 75 years with no comorbidities is 67 years, giving him a life expectancy of 13 years.

CONCLUSION

The health-adjusted age and the life tables adjusted by age, race, sex, and comorbidity can provide important information to facilitate decision making about treatment for cancer and other conditions.

摘要

目的

为了更准确地估计癌症患者的非癌症死亡率相关预期寿命,我们估算了调整合并症后的生命表和健康调整年龄。

研究设计与设置

利用监测、流行病学和最终结果-医疗保险数据库的数据,我们估算了反映癌症诊断前一年 66 岁及以上人群健康状况的合并症评分。根据合并症评分,估算了每个年龄、种族和性别的非癌症生存率。通过系统比较非癌症生存模型与美国生命表来估算健康调整年龄。

结果

合并症、癌症状态、性别和种族都是非癌症生存的重要预测因素;然而,它们对非癌症生存的相对影响随着年龄的增长而降低。基于合并症的生存模型比美国生命表更好地预测了非癌症生存。健康调整年龄和国家生命表可以用来提供一个人预期寿命的近似估计,例如,无合并症的 75 岁黑人男性的健康调整年龄为 67 岁,预期寿命为 13 年。

结论

健康调整年龄和按年龄、种族、性别和合并症调整的生命表可以提供重要信息,有助于决策癌症和其他疾病的治疗。