ANALYSIS OF PROGNOSIS FACTORS OF BREAST CANCER PATIENTS THRU SOCIO ECONOMIC PROFILE: AN APPLICATION OF BINARY LOGISTIC REGRESSION
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 8, Pages 4279-4289
AbstractBackground: The idea of Prognosis factor is based on the variables that can be used to assess the chance of recovery from a disease. It may also be defined as the prior knowledge about any disease before treatment.
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 the Cachar Cancer Hospital and Research Centre, Silchar, Assam, India. The purpose of the research is to analyse the effect of the prognosis factors on the remission of breast cancer; separately for economically weaker as well as well to do patients.
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 the poverty line and above the poverty line respectively.
The present study has considered the cutoff 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 chance of remission of cancer, if the disease has metastasized to regional lymph nodes, for below poverty line and above poverty line patients respectively.
Conclusion: There is a significant difference between the two poverty lines (APL and BPL) in terms of node and tumour size of breast cancer. The increasing sizes of tumour and node have lesser chance to follow-up as well as poorer survival and has a significant difference for patients belonging to both the poverty levels. The prognosis factors have the significant impact on the remission of breast cancer and depends on the socio-economic status of the patients due to the different standard of living, tendency of early diagnosis and the awareness level of cancer disease.
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