Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2014 Nov;2014(49):255-64.
doi: 10.1093/jncimonographs/lgu022.

Providing clinicians and patients with actual prognosis: cancer in the context of competing causes of death

Affiliations

Providing clinicians and patients with actual prognosis: cancer in the context of competing causes of death

Nadia Howlader et al. J Natl Cancer Inst Monogr. 2014 Nov.

Abstract

Background: To isolate progress against cancer from changes in competing causes of death, population cancer registries have traditionally reported cancer prognosis (net measures). But clinicians and cancer patients generally want to understand actual prognosis (crude measures): the chance of surviving, dying from the specific cancer and from competing causes of death in a given time period.

Objective: To compare cancer and actual prognosis in the United States for four leading cancers-lung, breast, prostate, and colon-by age, comorbidity, and cancer stage and to provide templates to help patients, clinicians, and researchers understand actual prognosis.

Method: Using population-based registry data from the Surveillance, Epidemiology, and End Results (SEER) Program, we calculated cancer prognosis (relative survival) and actual prognosis (five-year overall survival and the "crude" probability of dying from cancer and competing causes) for three important prognostic determinants (age, comorbidity [Charlson-score from 2012 SEER-Medicare linkage dataset] and cancer stage at diagnosis).

Result: For younger, healthier, and earlier stage cancer patients, cancer and actual prognosis estimates were quite similar. For older and sicker patients, these prognosis estimates differed substantially. For example, the five-year overall survival for an 85-year-old patient with colorectal cancer is 54% (cancer prognosis) versus 22% (actual prognosis)-the difference reflecting the patient's substantial chance of dying from competing causes. The corresponding five-year chances of dying from the patient's cancer are 46% versus 37%. Although age and comorbidity lowered actual prognosis, stage at diagnosis was the most powerful factor: The five-year chance of colon cancer death was 10% for localized stage and 83% for distant stage.

Conclusion: Both cancer and actual prognosis measures are important. Cancer registries should routinely report both cancer and actual prognosis to help clinicians and researchers understand the difference between these measures and what question they can and cannot answer. We encourage them to use formats like the ones presented in this paper to communicate them clearly.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
Comparison of cancer prognosis and actual prognosis measures for male and female colorectal cancer patients diagnosed with regional stage.
Figure 2.
Figure 2.
Actual prognosis—Five-year chance of surviving, dying from breast cancer, or dying from competing causes by age, stage, and comorbidity.
Figure 3.
Figure 3.
Actual prognosis—Five-year chance of surviving, dying from prostate cancer, or dying from competing causes by age, stage, and comorbidity.
Figure 4.
Figure 4.
Actual prognosis—Five-year chance of females surviving, dying from colorectal cancer, or dying from competing causes by age, stage, and comorbidity.
Figure 5.
Figure 5.
Actual prognosis—Five-year chance of females surviving, dying from lung cancer, or dying from competing causes by age, stage, and comorbidity.

References

    1. Howlader N, Noone AM, Krapcho M, et al. SEER Cancer Statistics Review, 1975–2010. Bethesda, MD: National Cancer Institute; 2013. http://seer.cancer.gov/csr/1975_2010/ Published April 2013. Accessed June 17, 2013.
    1. Ederer F, Axtell LM, Cutler SJ. The relative survival rate: a statistical methodology. Natl Cancer Inst Monogr. 1961;6:101–121. - PubMed
    1. Marubini E VM. Analysing Survival Data From Clinical Trials and Observational Studies. Chichester, UK: John Wiley & Sons; 1995.
    1. Cho H, Mariotto AB, Mann BS, Klabunde CN, Feuer EJ. Assessing non-cancer-related health status of US cancer patients: other-cause survival and comorbidity prevalence. Am J Epidemiol. 2013;178(3):339–349. - PMC - PubMed
    1. Esserman L, Shieh Y, Thompson I. Rethinking screening for breast cancer and prostate cancer. JAMA. 2009;302(15):1685–1692. - PubMed

Publication types