Sarcoma Cancer Statistics and Prognosis
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Sarcoma Cancer Statistics are the data that provides an average regarding the age, type of sarcoma cancer, survival chance of the patient etc. This calculation of averages is based on the data collected from a number of patients diagnosed with sarcoma cancer. However, one cannot depend or take these statistics to be foolproof. Also, the data used for research or analysis are measured with an interval of 5 years. This is why the findings cannot always be relied upon as these statistics don't give cent percent correct representation of any advances made in terms of diagnosis or treatment for a period beyond the 5 years interval. Again sarcoma cancer treatment and a patient's survival chances depend on few other factors like, age of the patient, stage or grade of the cancer, location and size of tumor etc. So the treatment and even the outcome would differ from person to person. The early the detection of the cancer the better will be the treatment as well as prognosis.
- A study done by American Cancer Society reveals that about 10,980 (6,050 males & 4,930 females) new cases of soft tissue cancer are estimated to be diagnosed in the year 2011
- Around 3920 Americans (2,060 males & 1,860 females) are estimated to die of it in 2011
There are different types of statistics that is used to determine Individual cancer risk. They are as follows:
- Mortality Statistics: Mortality Statistics is the number of people who have succumbed to sarcoma cancer or any particular cancer during a given period. It serves as an indication of the percentage of people that survive post treatment or otherwise
- Survival Statistics: Usually a sarcoma cancer research includes all the reports and developments of a patient for five years from the time of his/her diagnosis. So, a five year survival statistics generally represents the number of people that survived for five years after being diagnosed with sarcoma cancer. This however, doesn't imply that they only lived for five years; they might have survived for more than five years as well. Some patients who might have received early treatment and whose tumor cell was a benign one, would as well have been cured but again this doesn't mean that all those diagnosed would have been cured in these five years. Even chances of the reoccurrence of the cancer cannot be denied totally
- Incidence by Age: People beyond the age group of 30 are more likely to become victims of sarcoma cancer. Nonetheless, younger groups like children or teen agers might as well be affected
- Prevalence Statistics: It represents the number of sarcoma cancer cases occurring per 1,00,000 people. Prevalence statistics is made use of when data on a specific group, about a particular cancer or disease or large population etc are to be arrived at
- Incidence Statistics: These are the statistics that are calculated per 1,00,000 people. This represents the number of cases or people suffering from sarcoma or any type of cancer for a given year
- Cancer Risk: Cancer risk literally means the rate or possibility of the number of people to be diagnosed with sarcoma cancer or any type of cancer in a particular year. This statistics provides the average number of people who are most likely to fall in the high risk category to contract the disease. Other factors like people having heredity problem, existence of any other disease or unhealthy lifestyle etc may also push their chances for getting sarcoma cancer higher up the ladder
Sarcoma cancer statistics can't be fully relied upon. Though, one can refer to it to get a fair idea about which stage a person's cancer has reached or given the data what could be his/her survival chances. But, one cannot arrive at a conclusion just because the statistics or a research says so. As it is, a person's treatment and prognosis depends on factors like age, size of tumor, location of it, whether it has made its way to other parts of the body beyond its origin, how deep it is in the body etc. Hence, no one particular statistics can say as to what exactly the cancer might cause to the patient. Statistics should ideally be to get an idea rather than to be believed.