Survival Analysis on Breast Cancer Incidences in Ikeja, Lagos Nigeria Using Kaplan Meier and Cox Proportional Hazard Techniques

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.

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Publication Details

Journal
Journal of Multidisciplinary Science MIKAILALSYS
Published
2025-04-16
DOI
https://doi.org/10.58578/mikailalsys.v3i2.5365
Primary Topic
Global Cancer Incidence and Screening
Type
article
Field-Weighted Citation Impact
0.00
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article

Survival Analysis on Breast Cancer Incidences in Ikeja, Lagos Nigeria Using Kaplan Meier and Cox Proportional Hazard Techniques

S. M. Anzar, A O, Eyo A. O., Afariogun David A.
Journal of Multidisciplinary Science MIKAILALSYS
Global Cancer Incidence and Screening
article

Survival Analysis on Breast Cancer Incidences in Ikeja, Lagos Nigeria Using Kaplan Meier and Cox Proportional Hazard Techniques

S. M. Anzar, A O, Eyo A. O., Afariogun David A.
article en

Abstract

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.

Journal of Multidisciplinary Science MIKAILALSYSVol. 3(2)
Ajayi Crowther University (NG)
Openalex Percentile: Top 89%
Global Cancer Incidence and Screening
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