Knowledge (XXG)

Five-year survival rate

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reflecting excess mortality among cancer patients compared to the general population. In contrast to five-year absolute survival rates, five-year relative survival rates may also equal or even exceed 100% if cancer patients have the same or even higher survival rates than the general population. The pattern may occur if cancer patients can generally be cured, or patients diagnosed with cancer have greater socioeconomic wealth or access to medical care than the general population.
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survival rates describe the percentage of patients with a disease alive five years after the disease is diagnosed, divided by the percentage of the general population of corresponding sex and age alive after five years. Typically, cancer five-year relative survival rates are well below 100%,
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Five-year survival rates can be used to compare the effectiveness of treatments. Use of five-year survival statistics is more useful in aggressive diseases that have a shorter life expectancy following diagnosis, such as
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To compare treatments independently from diagnostics, it may be better to consider survival from reaching a certain stage of the disease or its treatment.
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would increase chances of survival, compared to the general population. A more plausible explanation is that the pattern reflects a
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Welch HG, Schwartz LM, Woloshin S (June 2000). "Are increasing 5-year survival rates evidence of success against cancer?".
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Improvements in rates are sometimes attributed to improvements in diagnosis rather than to improvements in prognosis.
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The fact that relative survival rates above 100% were estimated for some groups of patients appears
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survival rates describe the percentage of patients alive five years after the disease is diagnosed.
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There are absolute and relative survival rates, but the latter are more useful and commonly used.
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from earlier diagnosis can affect interpretation of the five-year survival rate.
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statistics. Five-year absolute survival rates may sometimes also be cited.
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of a particular disease, normally calculated from the point of diagnosis.
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Gloeckler Ries LA, Reichman ME, Lewis DR, Hankey BF, Edwards BK (2003).
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population groups, who, in general, also have higher mortality.
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Surveillance, Epidemiology, and End Results database
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Index

Five year survival rate
survival rate
prognosis
Lead time bias
relative survival
cancer
counterintuitive
prostate cancer
selection effect
PSA screening
screening
socially disadvantaged
lung cancer
prostate cancer
Surveillance, Epidemiology, and End Results database
"Cancer survival rate: A tool to understand your prognosis - MayoClinic.com"
ISBN
978-1-4160-4002-6
ISBN
978-0-7637-3276-9
"ACS : How Is Colorectal Cancer Staged?"
the original


"Long-term survival rates of patients with prostate cancer in the prostate-specific antigen screening era: population-based estimates for the year 2000 by period analysis"
J Clin Oncol
doi
10.1200/JCO.2005.11.148
PMID
15572727

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