ArticleSaudi journal of biological sciences2020
Prospective breast cancer risk factors prediction in Saudi women.
Article in Saudi journal of biological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of prediction models for risk of breast cancer.BMC cancer · 2025Pooled it
- Genomic and epigenomic diversity of breast cancer across Western and MENA populations: implications for precision oncology.Frontiers in oncology · 2026Review
- Review
- Modelling of the time to death of breast cancer patients at Hiwot Fana Specialized University Hospital.Scientific reports · 2024Article
- Breastfeeding and its Association with Breast Cancer: a Systematic Review of the Literature.Maedica · 2024Article
- The epidemiological and clinicopathological features of breast cancer in Riyadh, Saudi Arabia.Saudi medical journal · 2024Article
- Article
- Correlation of prognostic and predictive indicators in breast cancer patients from the eastern province of Saudi Arabia.Saudi medical journal · 2021Article
- Establish a Scoring Model for High-Risk Population of Gastric Cancer and Study on the Pattern of Opportunistic Screening.Gastroenterology research and practice · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Women's health is affected by breast cancer worldwide and Saudi Arabia (SA) is no exception. Malignancy has enormous consequences for social, psychological and public health. The aim of this study was to examine the risk factors for Saudi women from breast cancer using logistic regression models. In 135 patient cases for different stages of breast cancer was used to study case management, 270 healthy women from King Abd Alla Medical City, Mecca, SA were taken to predict the probability of women developing breast cancer, logistic regression was analyzed taking factors such as age, marital status, family history, parity, age at first full-term pregnancy, menopausal status, body mass index (BMI) and breast feeding. The logistic regression model showed that there are important risk factors (age, marital status, family history, parity, age at first full-term pregnancy, menopausal status, body mass index, and breast feeding) in development of breast cancer. Fewer cases were observed in unmarried women, age ≤30, BMI ≤20. In contrast, more cases were found with women age 41-50 married, BMI > 30, a smaller number of children, not breast feeding, age of first pregnancy ≥30, menopausal status age at 46-50. Based on our data there is role of risk factors in developing breast cancer, less BMI, the increase number of children, breast feeding, which are playing as protective factor for breast cancer.
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