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Breast cancer prevention in older women: an algorithm to choose an optimal preventive agent.

Author: BodennerDonald L, GoodinJoel B, OzdemirBurcu Z

Journal ArticleAn article published in an academic or professional journal that reports original research or scholarly analysis.

Overview

This study developed and pilot tested a chemopreventive choice algorithm to assess its feasibility for older women at high risk of breast cancer. The algorithm successfully guided individualized chemopreventive selection for 23 participants, with minor adverse events being managed effectively. Further evaluation with a larger and more diverse sample is required.
Paper Details　
Original Abstract of the Article :
BACKGROUND: Breast cancer is a significant cause of morbidity and mortality in older women. The current study presents new, comprehensive guidelines for providing chemoprevention to older women. OBJECTIVE: The objective of this study was to develop and pilot test a chemopreventive choice algorithm ...See full text at original site
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引用元：
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6385772/

データ提供：米国国立医学図書館（NLM）

Breast Cancer Prevention in Older Women: A Personalized Approach

Breast cancer is a significant concern for older women, like a looming desert storm. This research explores the use of chemoprevention in older women, aiming to provide a personalized guide for choosing the most effective preventive agent. The authors developed and piloted a chemopreventive choice algorithm, aiming to identify the best path for each individual based on their unique risk factors and needs.

Navigating the Desert of Breast Cancer Risk: A Personalized Algorithm

The study's findings suggest that the algorithm can successfully guide the selection of chemopreventive agents for older women at high risk of breast cancer. This personalized approach can help to minimize unnecessary side effects and maximize the benefits of prevention. The algorithm serves as a helpful tool for navigating the complexities of breast cancer prevention, offering a more targeted approach to care.

A Personalized Approach to Breast Cancer Prevention: Understanding Your Risks

This research emphasizes the importance of individualizing preventive strategies for breast cancer. The algorithm developed in the study provides a valuable tool for healthcare professionals and women seeking to understand their specific risks and choose the most effective preventive approach. By understanding your individual risk factors, you can make informed decisions about preventive strategies, ensuring a proactive approach to your health.

Dr.Camel's Conclusion

This research highlights the importance of a personalized approach to breast cancer prevention in older women. The algorithm developed in the study offers a valuable tool for navigating the complexities of preventive strategies, helping women make informed decisions based on their individual needs and risks. It's a step towards a more proactive and personalized approach to breast cancer prevention, providing a sense of empowerment and control in managing one's health.

Date :
  1. Date Completed n.d.
  2. Date Revised 2022-04-08
Further Info :

Pubmed ID

30858724

DOI: Digital Object Identifier

PMC6385772

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Languages

English

Positive IndicatorAn AI analysis index that serves as a benchmark for how positive the results of the study are. Note that it is a benchmark and requires careful interpretation and consideration of different perspectives.

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