article · Journal of Multidisciplinary Science MIKAILALSYS
This study investigates breast cancer survival outcomes in relation to treatment types, using retrospective data sourced from the Oncology Department at Lagos State University Teaching Hospital (LASUTH). Employing survival analysis techniques—specifically the Kaplan-Meier method for estimating survival probabilities and the Cox Proportional Hazards model to examine the influence of demographic factors—the study measured survival time from diagnosis to either death or the last known follow-up. The event of interest was the patient’s vital status. Results indicated that while breast cancer affects all genders, females are nearly twice as likely to be diagnosed as males. Age was also a significant determinant of survival, with older patients exhibiting a higher risk of mortality, as shown by increasing hazard ratios. These findings highlight the importance of early detection, particularly in younger individuals, as a critical strategy to enhance survival prospects.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.58578/mikailalsys.v3i2.5365
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.