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- Title
Comparing Cancer Risks and Mortality between Phytopharmaceuticals and Estrogen-Progestogen Medications for Menopausal Women: A Population-Based Cohort Study.
- Authors
Lin, Tsai-Bei; Hsieh, Chia-Chi; Wang, Chun-Hsiang; Chang, Chiung-Hung; Hsueh, Yu-Ling; Tseng, Yuan-Tsung; Hsieh, Men-Fong
- Abstract
We evaluated the long-term risks of overall cancer and all-cause mortality associated with five types of phytopharmaceuticals and the most commonly used estrogen-progestogen medications for the treatment of postmenopausal syndrome in women. Using data from Taiwan's National Health Insurance Research Database (NHIRD) from 1 January 2000 to 31 December 2018, we conducted a 1:2 matched cohort study with 12,087 eligible patients. We compared phytopharmaceuticals -only users (n = 4029, phytopharmaceuticals group) with HRT-only users (n = 8058, HRT group) with a washout period of ≥6 months. The phytopharmaceuticals group had significantly lower risks of overall cancer and all-cause mortality than the HRT group (adjusted hazard ratio [95% confidence interval]: 0.60 [0.40–0.9] and 0.40 [0.16–0.99], respectively) after over 180 days of use. Bupleurum and Peony Formula were associated with lower risks of overall cancer and all-cause mortality (aHR: 0.57 [0.36–0.92] and 0.33 [0.11–1.05], respectively). In conclusion, phytopharmaceuticals may serve as an alternative therapy to HRT for alleviating menopausal symptoms and reducing health risks, leading to more favorable long-term health outcomes. Further randomized control trials are necessary to validate the findings of this study.
- Subjects
TAIWAN; TUMOR risk factors; RISK assessment; DATABASES; MEDICAL information storage &; retrieval systems; T-test (Statistics); RESEARCH funding; POSTMENOPAUSE; PHYTOCHEMICALS; DESCRIPTIVE statistics; CHI-squared test; DISEASES; PLANT extracts; KAPLAN-Meier estimator; LOG-rank test; HORMONE therapy; ALTERNATIVE medicine; MEDICINAL plants; TUMORS; WOMEN'S health; GINSENG; DATA analysis software; CONFIDENCE intervals; PROPORTIONAL hazards models
- Publication
Healthcare (2227-9032), 2024, Vol 12, Issue 12, p1220
- ISSN
2227-9032
- Publication type
Article
- DOI
10.3390/healthcare12121220