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  1. Oct 17, 2019 · Prognostic and predictive factors are used to help develop a treatment plan and predict the outcome. A prognostic factor is a feature of the cancer (like the size of the tumour) or a characteristic of the person (like their age) that may affect the outcome. A predictive factor can help predict if a cancer will respond to a certain treatment.

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    When first diagnosed with cancer, many people ask about their prognosis. You might want to know whether your cancer is relatively easy or more difficult to cure. Your doctor can't predict the future, but can make an estimate based on other people's experiences with the same cancer. Survival rates are usually given in percentages. For instance, the ...

    Cancer survival rates or survival statistics tell you the percentage of people who survive a certain type of cancer for a specific amount of time. Cancer statistics often use an overall five-year survival rate.

    Your doctor may be able to give you more specific statistics based on your stage of cancer. For instance, 56 percent, or a little more than half, of people diagnosed with early-stage lung cancer live for at least five years after diagnosis. The five-year survival rate for people diagnosed with late-stage lung cancer that has spread (metastasized) t...

  2. Survival is the percentage of people with a disease who are alive at some point in time after their diagnosis. Prognosis and survival depend on many factors. The doctor will look at certain characteristics of the person and aspects of the cancer, such as its stage and grade and the size of the tumour. These are called.

  3. Prognosis and survival for lung cancer. If you have lung cancer, you may have questions about your prognosis. A prognosis is the doctor's best estimate of how cancer will affect someone and how it will respond to treatment. Prognosis and survival depend on many factors. Only a doctor familiar with your medical history, the type and stage and ...

  4. Nov 19, 2014 · Survival is sometimes used as a policy measure of cancer burden and is often used to compare cancer outcomes between different populations and time periods. However, it is well known that survival is more sensitive to biases (eg, lead time and length biases) than population mortality.

    • Angela B Mariotto, Anne-Michelle Noone, Nadia Howlader, Hyunsoon Cho, Gretchen E Keel, Jessica Garsh...
    • 10.1093/jncimonographs/lgu024
    • 2014
    • 2014/11
  5. Jul 27, 2022 · Samuel, J. N. et al. Association of quality-of-life outcomes in cancer drug trials with survival outcomes and drug class. JAMA Oncol. 8 , 879–886 (2022). Article Google Scholar

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  7. May 25, 2023 · Survival rates provide an estimate based on the outcomes of people with similar cancer diagnoses. A doctor, especially an oncologist, can take all the relevant factors into account and give a ...

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