Conditional crude probabilities of death for English cancer patients

Author:

Wong Kwok F.,Lambert Paul C.,Mozumder Sarwar I.,Broggio John,Rutherford Mark J.

Abstract

Abstract Background Cancer survival statistics are typically reported by using measures discounting the impact of other-cause mortality, such as net survival. This is a hypothetical measure and is interpreted as excluding the possibility of cancer patients dying from other causes. Crude probability of death partitions the all-cause probability of death into deaths from cancer and other causes. Methods The National Cancer Registration and Analysis Service is the single cancer registry for England. In 2006–2015, 1,590,477 malignant tumours were diagnosed for breast, colorectal, lung, melanoma and prostate cancer in adults. We used a relative survival framework, with a period approach, providing estimates for up to 10-year survival. Mortality was partitioned into deaths due to cancer or other causes. Unconditional and conditional (on surviving 1-years and 5-years) crude probability of death were estimated for the five cancers. Results Elderly patients who survived for a longer period before dying were more likely to die from other causes of death (except for lung cancer). For younger patients, deaths were almost entirely due to the cancer. Conclusion There are different measures of survival, each with their own strengths and limitations. Careful choices of survival measures are needed for specific scenarios to maximise the understanding of the data.

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Oncology

Reference25 articles.

1. Pohar-Perme, M., Stare, J. & Estève, J. On estimation in relative survival. Biometrics 68, 113–120 (2012).

2. Corazziari, I., Quinn, M. & Capocaccia, R. Standard cancer patient population for age standardising survival ratios. Eur J. Cancer 40, 2307–2316 (2004).

3. Allemani, C., Matsuda, T., Di Carlo, V., Harewood, R., Matz, M., Niksic, M. et al. Global surveillance of trends in cancer survival 2000-14 (CONCORD-3): analysis of individual records for 37,513,025 patients diagnosed with one of 18 cancers from 322 population-based registries in 71 countries. Lancet 391, 1023–1075 (2018).

4. Dickman, P. W., Lambert, P. C., Coviello, E. & Rutherford, M. J. Estimating net survival in population‐based cancer studies. IJC 133, 519–522 (2013).

5. Coviello, E., Dewar, R. & Dickman, P. W. Estimating Crude Probability of Death in PeriodAnalysis— Technical details of implementation in strs. http://www.pauldickman.com/rsmodel/stata_colon/strs_technical_140.pdf . Accessed 27 Sep 2018.

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