ArticleBMJ (Clinical research ed.)2004
Benefits and harms associated with hormone replacement therapy: clinical decision analysis.
Article in BMJ (Clinical research ed.), 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02624648 (Effects of Lepidium Meyenii Walp), which is not on this map. Cited by 13 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Effects of Lepidium Meyenii Walp (Peruvian Maca) on Sexual Function in Postmenopausal
Who cites it
13 citing papers in PubMed, 62 citations in OpenAlex.
- Health related quality of life after combined hormone replacement therapy: randomised controlled trial.BMJ (Clinical research ed.) · 2008Trial
- Symptom reporting and quality of life in the Estonian Postmenopausal Hormone Therapy Trial.BMC women's health · 2008Trial
- Does training family physicians in shared decision making promote optimal use of antibiotics for acute respiratory infections? Study protocol of a pilot clustered randomised controlled trial.BMC family practice · 2007Trial
- Detection of Human CytomegalovirusThe journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2026Article
- Mitochondrial dysfunction in perimenopausal mood disorders: From hormonal shifts to neuroenergetic failure (Review).International journal of molecular medicine · 2025Review
- Are mobile health applications useful for supporting shared decision making in diagnostic and treatment decisions?Global health action · 2017Article
- Article
- The clinical decision analysis using decision tree.Epidemiology and health · 2014Article
- Evidence synthesis as the key to more coherent and efficient research.BMC medical research methodology · 2009Article
- Hormone therapy after the Women's Health Initiative: a qualitative study.BMC family practice · 2006Article
- The nature of medical evidence and its inherent uncertainty for the clinical consultation: qualitative study.BMJ (Clinical research ed.) · 2005Article
- Where are we now with hormone replacement therapy?BMJ (Clinical research ed.) · 2004Article
- Use of Bayesian multivariate meta-analysis to estimate the HAQ for mapping onto the EQ-5D questionnaire in rheumatoid arthritis.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes ResearchArticle
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo evaluate harms and benefits associated with use of combined hormone replacement therapy (HRT) for five years in women with different baseline risks for breast cancer.
designProbabilistic clinical decision analysis.
settingHypothetical population of white UK women aged 50 years with different baseline risks for breast cancer.
main outcome measureGain or loss in quality adjusted life years (QALYs).
resultsWomen free of menopausal symptoms showed a net harm from HRT use, which increased for increasing baseline risk of breast cancer. Those with a baseline risk of 1.2% would expect a loss in QALYs of 0.4 months (- 0.03 QALYs, 95% credibility interval - 0.05 to - 0.01). The main analysis showed HRT to be on average beneficial in women with symptoms, with benefit decreasing with increasing baseline risk of breast cancer. The results were sensitive to the assumed value of quality of life with menopausal symptoms, therefore a contour plot was developed to show the probability of net harm for a range of different values and baseline risks.
conclusionsHRT for primary prevention of chronic diseases in women without menopausal symptoms is unjustified. Perceived quality of life in women with symptoms should be taken into account when deciding on HRT. Thus, a decision analysis tailored to an individual woman is more appropriate in clinical practice than a population based approach.
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