Survival statistics for hypopharyngeal cancer
Survival statistics for hypopharyngeal cancer are very general estimates and must be interpreted very carefully. Because these statistics are based on the experience of groups of people, they cannot be used to predict a particular person’s chances of survival.
There are many different ways to measure and report cancer survival statistics. Your doctor can explain the statistics for hypopharyngeal cancer and what they mean to you.
Net survival represents the probability of surviving cancer in the absence of other causes of death. It is used to give an estimate of the percentage of people who will survive their cancer.
In Canada, the 5-year net survival for hypopharyngeal cancer is 27%. This means about 27% of people diagnosed with hypopharyngeal cancer will survive for at least 5 years.
Survival by stage
Survival varies with each stage of hypopharyngeal cancer.
Generally, the earlier hypopharyngeal cancer is diagnosed and treated, the better the outcome. But often hypopharyngeal cancer is not found until it is at an advanced stage, which can make it harder to treat.
Survival by stage of hypopharyngeal cancer is reported as 5-year relative survival. Relative survival looks at how likely people with cancer are to survive after their diagnosis compared to people in the general population who do not have cancer, but who share similar characteristics (such as age and sex).
There are no specific Canadian statistics available for the different stages of hypopharyngeal cancer. The following information comes from a variety of sources. It may include statistics from other countries that are likely to have similar outcomes as in Canada.
|Stage||5-year relative survival|
Questions about survival
Talk to your doctor about your prognosis. A prognosis depends on many factors, including:
- your health history
- the type of cancer
- the stage
- certain characteristics of the cancer
- the treatments chosen
- how the cancer responds to treatment
Only a doctor familiar with these factors can put all of this information together with survival statistics to arrive at a prognosis.