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Evaluation of the Significance of Breast Cancer Determinants Using Permutation Test
Subject area: Science,Engineering and Technology · Area of research: Meta-analysis
Abstract
Breast cancer remains a chronic global public health problem, with its etiology governed by a range of reproductive and familial determinants. Despite numerous epidemiologic investigations into risk factors like menarche, menopause, ever breastfed and family history of breast cancer, evidence remains heterogeneous and in most cases, statistically inconclusive. This paper aims to evaluate the statistical significance of breast cancer determinants using permutation test. The data was sourced via Pubmed, Science Direct, Medline, Rechargegate and Google scholar. The random-effects model was employed for the analysis. Odd ratio was used as a measure of the association of breast cancer determinants in women. It was found that the value of age at menarche and age at menopause is given as 0.061 & 0.008 respectively. This paper concluded that on the basis of the data presented and analyzed, it show that menarche, menopause and family history of breast cancer were strong risk factor for breast cancer while ever breast was not. This paper recommended that menarche, menopause and family history of breast cancer are strong risk factor for breast cancer and it should be included in sensitization and also client counselling.
Keywords
Permutation test; Breast Cancer; Meta-regression.
References
[1] American Cancer Society. (2020, June 18). Cancer Staging. American Cancer Society. American Cancer Society.
[2] Breastcancer.org. (2020, March 28). Tamoxifen: Uses, Side Effects and More. Tamoxifen: Uses, Side Effects and More.
[3] Carrara, H. (2017, July 15). Cancer Incidences in Namibia. Namibia National Cancer Registry.
[4] Cohen, J. (1977). Academic Press.
[5] Cohen, J. (1988). Statistical Power Analysis for the behavioral sciences (2nd ed.). Academic Press.
[6] Cordina-Duverger, E., Truong, T., Anger, A., Sanchez, M., Arveux, P., & Guenel, P. (2013, November 1). Risk of breast cancerby type of menopausal hormone therapy: a case-control study among post-menopausal women in France. Risk of breast cancerby type of menopausal hormone therapy, 8(11).
[7] Cuzick J et al. (2013). Selective Oestrongen receptor modulators in prevention of breast cancer: an updated meta-analysis of individual participant data. 381(9880), 1827-1834.
[8] De Blok, C. J., Wiepjes, C. M., Nota, N. M., Engelen, K. V., Adank, M. A., Dreijerink, K. M., et al. (2019, 5). Breast cancer risk in transgender people receiving hormone treatment: nationwide cohort study in the Netherlands. BMJ.
[9] Dehesh, T., Shohreh, F., Mehmaz, S., Elham, A., Mehran, I., Paria, D., et al. (2023). The relation between obesity and breast cancer risk in women by considering menstruation status and geographical variations: a systematic review and meta-analysis.
[10] Glass, G., & Stanley, J. (1970). Statistical Methods in Education and Psychology. Englewood Cliffs, N J: Prentice Hall.
[11] Glass, G., McGaw, B., & Smith, M. (1981). Meta-Analysis in social research. Sage.
[12] Haffner, I., Schierle, K., Raimundez, E., Geier, B., Maier, D., Hasenauer, J., et al. (2021, March 28). HER2 Expression, Test Deviations, and Their Impact on Survival in Metastatic Gastric Cancer: Result from the Prospective Multicenter VARIANZ Study. HER2 Expression, Test Deviations, and Their Impact on Survival in Metastatic Gastric Cancer: Result from the Prospective Multicenter VARIANZ Study.
[13] Javan, B. A., Rafiei, S., Sima, R., Fatemeh, K., Mitra, K., Farzaneh, B., et al. (2023). Global quality of life in breast cancer: systematic review and meta-analysis.
[14] Jiryoun, G., Juhee, H., Donghwan, L., & Seungjin, B. (2020, December 09). A Meta- Regression Analysis of Utility Weights for Breast Cancer: The power of Patients' Experience.
[15] Kelly, K. M., Dean, J., Comulada, S. W., & Lee, S.-J. (2010, March). Breast cancer detection using automated whole breast ultrasound and mammography in radiographically dense breasts. Breast cancer detection using automated whole breast ultrasound and mammography in radiographically dense breasts, 20(3), 734-42.
[16] Lipsey, M., & Wilson, D. (2001). Practical Meta-Analysis. Thousand Oaks, CAUS.
[17] Lyons, L. (2003). Meta- Analysis: Across Research Domains.
[18] Manson, J. E., Rowan, C. T., Stefanick, M. L., Aragaki, A. K., Rossouw, J. E., Ross, P. L., et al. (2013). Menopausal hormone therapy and health outcomes during the intervention and extended poststopping phases of the Women's Health Initiative randomized trials. JAMA.
[19] Marcucci, R. (1980). A Meta-Analysis of Research of Teaching Mathematical problem solving, Doctoral dissertation. Dissertation Abstracts International, 41 06A.
[20] Mayo Clinic. (2018, November 22). Chemotherapy nausea and vomiting: Prevention is best defense. Chemotherapy nausea and vomiting: Prevention is best defense.
[21] Mayo Clinic. (2019, November 22). Breast Cancer-Diagnosis and treatment. Mayo.
[22] National Cancer Institute. (2015, April 29). Appetite Loss and Cancer Treatment. National Cancer Institute.
[23] National Cancer Institute. (2019). Breast Cancer. Breast Cancer.
[24] O'Rourke , K. (2007). An historical perspective on meta-analysis: dealing quantitatively with varying study results. Journal of the Royal Society of Medicine, 100(12), 579-582.
[25] Rebolj, M., Assi, V., Brentnall, A., Parmar, D., & Duffy, S. W. (2018, June). Addition of ultrasound to mammography in the case of dense breast tissue: systematic review and meta- analysis. Addition of ultrasound to mammography in the case of dense breast tissue: systematic review and meta-analysis.
[26] Thigpen, D., Kappler, A., & Brem, R. (2018, March 16). The Role of Ultrasound in Screening Dense Breasts—A Review of the Literature and Practical Solutions for Implementation. Diagnostics, 8(1).
[27] WHO. (2014, February 3). WHO. Retrieved from www.who.int: https://www.who.int/news- room/fact-sheets/detail/cancer.
[28] WHO. (2022, March 13). Breast Cancer. Retrieved May 12, 2024, from World Health Organization: https://www.who.int/news- room/fact-sheets/detail/breast-cancer.
How to cite this paper
@article{1710231,
author = {Umoh Effiong, Adehi M. U., Nweze N O., Bilkisu M},
title = {Evaluation of the Significance of Breast Cancer Determinants Using Permutation Test},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {2},
pages = {1010-1013},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1710231.pdf},
abstract = {Breast cancer remains a chronic global public health problem, with its etiology governed by a range of reproductive and familial determinants. Despite numerous epidemiologic investigations into risk factors like menarche, menopause, ever breastfed and family history of breast cancer, evidence remains heterogeneous and in most cases, statistically inconclusive. This paper aims to evaluate the statistical significance of breast cancer determinants using permutation test. The data was sourced via Pubmed, Science Direct, Medline, Rechargegate and Google scholar. The random-effects model was employed for the analysis. Odd ratio was used as a measure of the association of breast cancer determinants in women. It was found that the value of age at menarche and age at menopause is given as 0.061 & 0.008 respectively. This paper concluded that on the basis of the data presented and analyzed, it show that menarche, menopause and family history of breast cancer were strong risk factor for breast cancer while ever breast was not. This paper recommended that menarche, menopause and family history of breast cancer are strong risk factor for breast cancer and it should be included in sensitization and also client counselling.},
keywords = {Permutation test; Breast Cancer; Meta-regression.},
month = {August},
}