Multivariate analysis of the breast cancer patients in North-East India: Using cox regression

Swapan Bhattacharjee, Surobhi Deka


Breast cancer is the most common cancer affecting women in India. Breast cancer can develop to any age groups of females and with the age the risk increases. The survival of breast cancer patients depends on early diagnosis, stages of the disease and treatment. Materials and Methods: In our study 462 breast cancer patients were included in study who were treated during 3 year period (January 2016 until December 2018) and were followed up to December 2019 at North East Cancer Hospital, Jorabat and State Cancer Hospital, Guwahati. Death reported was 75. The Kaplan-Meier was used for data analysis and in order to analyze the different covariates Cox Regression model is used. Results: Based on Kaplan- Meier mean survival days was 1132 and overall 3 year survival rate was 63%. The 3 year survival rate of stage III and stage IV was 60% and 20%. Conclusions: Our findings support the observation that those women with higher stages have less chance of survival. Moreover early detection of breast cancer may help to increase the survival rate of those women who are at risk.

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Published: 2022-04-22

How to Cite this Article:

Swapan Bhattacharjee, Surobhi Deka, Multivariate analysis of the breast cancer patients in North-East India: Using cox regression, J. Math. Comput. Sci., 12 (2022), Article ID 144

Copyright © 2022 Swapan Bhattacharjee, Surobhi Deka. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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