scholarly journals British Menopause Society consensus statement: The risks and benefits of HRT before and after a breast cancer diagnosis

2019 ◽  
Vol 25 (1) ◽  
pp. 33-37 ◽  
Author(s):  
Jo Marsden ◽  

In women at population risk of breast cancer (i.e. most), short-term exposure to hormone replacement therapy (i.e. up to five years’ use) for symptom relief exceeds its potential harms, including the associated, increased risk of breast cancer diagnosis. Many women and health care professionals, however, consider this to be unacceptably high, although the degree of risk conferred appears equivalent to, or less than that of, other lifestyle risk factors for this condition. In contrast, it is recommended that symptomatic women at high baseline risk due to a family history or a biopsy-confirmed high-risk benign breast condition and those with previous breast cancer should be managed initially with lifestyle changes and non-hormonal alternatives. In a minority, whose symptoms are refractory, hormone replacement therapy and or topical estrogen can be considered but prescription should only take place after a discussion between the patient, her primary health care and breast specialist teams.

2005 ◽  
Vol 60 (10) ◽  
pp. 650-651 ◽  
Author(s):  
A S. Fletcher ◽  
B Erbas ◽  
Am M. Kavanaugh ◽  
S Hart ◽  
A Rodger ◽  
...  

The Breast ◽  
2005 ◽  
Vol 14 (3) ◽  
pp. 192-200 ◽  
Author(s):  
A.S. Fletcher ◽  
B. Erbas ◽  
A.M. Kavanagh ◽  
S. Hart ◽  
A. Rodger ◽  
...  

2005 ◽  
Vol 44 (01) ◽  
pp. 127-135 ◽  
Author(s):  
D. Böhning

Summary Objectives: This contribution provides a unifying concept for meta-analysis integrating the handling of unobserved heterogeneity, study covariates, publication bias and study quality. It is important to consider these issues simultaneously to avoid the occurrence of artifacts, and a method for doing so is suggested here. Methods: The approach is based upon the meta-likelihood in combination with a general linear nonparametric mixed model, which lays the ground for all inferential conclusions suggested here. Results: The concept is illustrated at hand of a meta-analysis investigating the relationship of hormone replacement therapy and breast cancer. The phenomenon of interest has been investigated in many studies for a considerable time and different results were reported. In 1992 a meta-analysis by Sillero-Arenas et al. [1] concluded a small, but significant overall effect of 1.06 on the relative risk scale. Using the meta-likelihood approach it is demonstrated here that this meta-analysis is due to considerable unobserved heterogeneity. Furthermore, it is shown that new methods are available to model this heterogeneity successfully. It is argued further to include available study covariates to explain this heterogeneity in the meta-analysis at hand. Conclusions: The topic of HRT and breast cancer has again very recently become an issue of public debate, when results of a large trial investigating the health effects of hormone replacement therapy were published indicating an increased risk for breast cancer (risk ratio of 1.26). Using an adequate regression model in the previously published meta-analysis an adjusted estimate of effect of 1.14 can be given which is considerably higher than the one published in the meta-analysis of Sillero-Arenas et al. [1]. In summary, it is hoped that the method suggested here contributes further to a good meta-analytic practice in public health and clinical disciplines.


2008 ◽  
Vol 100 (7) ◽  
pp. 475-482 ◽  
Author(s):  
L. Holmberg ◽  
O.-E. Iversen ◽  
C. M. Rudenstam ◽  
M. Hammar ◽  
E. Kumpulainen ◽  
...  

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