Key Points for Clinicians About the SEER Oral Cancer Survival Calculator

预期寿命 癌症 医学 人口 流行病学 计算器 公共卫生 人口学 重症监护医学 内科学 环境卫生 病理 计算机科学 操作系统 社会学
作者
Louise Davies,Benjamin F. Hankey,Zhuoqiao Wang,Zhaohui Zou,Susan Scott,Minjung Lee,Hyunsoon Cho,Eric J. Feuer
出处
期刊:JAMA otolaryngology-- head & neck surgery [American Medical Association]
卷期号:149 (11): 1042-1042 被引量:2
标识
DOI:10.1001/jamaoto.2023.1977
摘要

Importance In the setting of a new cancer diagnosis, the focus is usually on the cancer as the main threat to survival, but people may have other conditions that pose an equal or greater threat to their life than their cancer: a competing risk of death. This is especially true for patients who have cancer of the oral cavity, because prolonged exposure to alcohol and tobacco are risk factors for cancer in this location but also can result in medical conditions with the potential to shorten life expectancy, competing as a cause of death that may intervene in conjunction with or before the cancer. Observations A calculator designed for public use has been released that allows patients age 20 to 86 years who have a newly diagnosed oral cancer to obtain estimates of their health status–adjusted age, life expectancy in the absence of the cancer, and probability of surviving, dying of the cancer, or dying of other causes within 1 to 10 years after diagnosis. The models in the calculator showed that patients with oral cavity cancer had a higher than average risk of death from other causes than the matched US population, and this risk increases by stage. Conclusions and Relevance The Surveillance, Epidemiology and End Results Program Oral Cancer Survival Calculator supports a holistic approach to the life of the patient, and the risk of death of other causes is treated equally to consideration of the probability of death of the cancer. This tool may be usefully paired with the other available prognostic calculators for oral cancer and is an example of the possibilities now available with registry linkages to partially overlapping or independent data sets and statistical techniques that allow the use of 2 time scales in 1 analysis.

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