Suggested Modification of Previous Published Log-Incidence Mathematical Model of Breast Cancer Incidence

DOI

10.2991/assehr.k.220110.058How to use a DOI?

Keywords

Breast cancer; risk factors; log-incidence mathematical model; reproductive risk; periodic risk

Abstract

Pike et al. developed an outstanding mathematical model to relate the risk factors related to reproduction to the incidence of breast cancer in 1983. In 1994, Bernard Rosner and Graham A. Colditz modified Pike’s model to improve some of the deficiencies such as a lack of terms for spacing of births and an inability to accommodate births after 40 years and came up with a log-incidence mathematical model. The study modifies the 1994 model to account for the effect of women’s first period age on breast cancer risk, because an early period indicates a greater lifetime exposure to estrogen, and a high estrogen level is an important factor in breast cancer development. A simple modification was conducted by simply multiplying the overall equation by the increased risk correlated to the age of the first period. Due to the lack of support from the real-life dataset, the validity of such modification could not be determined; however, if it successfully applies to real-world data, a much better screening strategy could be applied to women to greatly reduce the mortality of breast cancer.

Copyright

© 2022 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article under the CC BY-NC license.

Download article (PDF)

TY  - CONF
AU  - Jingyi Xie
PY  - 2022
DA  - 2022/01/28
TI  - Suggested Modification of Previous Published Log-Incidence Mathematical Model of Breast Cancer Incidence
BT  - Proceedings of the 2021 International Conference on Public Art and Human Development ( ICPAHD 2021)
PB  - Atlantis Press
SP  - 297
EP  - 300
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220110.058
DO  - 10.2991/assehr.k.220110.058
ID  - Xie2022
ER  -