Background: The idea of Prognosis factor is based on the variables that can be used to assess the chance of recovery from a disease. It is also considered as the prior knowledge about any disease before treatment. The concept is applied to the cancer patients to get an idea of how cancer will affect the body and how it will respond to the therapies.
Method: In this paper, selective prognostic factors (Age, Node and Tumour size) are analysed by logistic regression in patients who are suffering from Breast cancer based on data collected from Cachar Cancer Hospital and Research Centre, Silchar, Assam, India.
Results: The study claims that there are 50.1 percent and 65.8 percent chance of remission of cancer for patients of age above 50 in case of breast cancer with below poverty line and above poverty line respectively.
The present study has focused on this cut-off value of 2 cm as the determining prognostic factor in relation to tumour size. Thus, the chance of remission from cancer is 22.3 percent and 34.7 percent for below poverty line and above poverty line patients respectively, if tumour size is greater than 2 cm.
It also endeavours to ascertain that there are 10.9 percent and 18.1 percent chances of remission of cancer, if the disease has metastasized to regional lymph nodes, with below poverty line and above poverty line respectively.
Conclusion: The parameters viz. Tumour size and Node status, which measure the stage of the cancer patients, are significant prognostic factors that help in predicting tumour behaviour and survival outcomes for breast cancer patients.