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  1. The Oral Cancer Survival Calculator applies to people who have recently been diagnosed with oral cancer (also known as oral cavity cancer) and are looking for information. This is a tool that can give you survival estimates based on characteristics of your cancer and overall health.

    • About

      The Oral Cancer Survival Calculator was developed by the...

    • Oral Cancer

      This calculator provides several kinds of survival...

    • Resources

      Datema and colleagues, 2013 describes how the calculator was...

    • Start Over

      The Oral Cancer Survival Calculator is not a substitute for...

  2. This calculator provides several kinds of survival estimates: the person’s life expectancy if he or she had not been diagnosed with oral cancer; The estimated likelihood, within 1‒10 years after being diagnosed with oral cancer, that:

  3. 25 Σεπ 2024 · Generally, for people with mouth cancer in England: around 80 out of every 100 (around 80%) will survive their cancer for 1 year or more after they are diagnosed. around 60 out of every 100 (around 60%) will survive their cancer for 5 years or more after diagnosis.

  4. 5-year relative survival rates for oral cavity and oropharyngeal cancers. These numbers are based on people diagnosed with cancers of the oral cavity (mouth) or oropharynx (the part of the throat behind the mouth) between 2012 and 2018.

  5. A new personalized oral cancer survival calculator to estimate risk of death from both oral cancer and other causes. JAMA Otolaryngol Head Neck Surg. Published online July 10, 2023. doi: Google Scholar.

  6. 24 Ιουλ 2023 · Explore how researchers used statistical models to create the Surveillance, Epidemiology, and End Results Oral Cancer Survival Calculator (SEER OCSC) for personalized calculations about the likelihood a person with oral cancer will survive, die of their cancer, or die of other causes.

  7. 1 Νοε 2023 · Objective: To describe a statistical framework and accompanying new publicly available calculator that provides personalized estimates of the probability of a patient surviving or dying from cancer or other causes, using oral cancer as the first data set.

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