
This makes me feel even more secure about my decision.
Hormone Replacement Therapy: Real Concerns and False Alarms
Bluming, Avrum Z. MD; Tavris, Carol PhD
Abstract
From 2002 to 2008, reports from the Women’s Health Initiative (WHI) claimed that hormone replacement therapy (HRT) significantly increased the risks of breast cancer development, cardiac events, Alzheimer disease, and stroke. These claims alarmed the public and health professionals alike, causing an almost immediate and sharp decline in the numbers of women receiving HRT. However, the actual data in the published WHI articles reveal that the findings reported in press releases and interviews of the principal investigators were often distorted, oversimplified, or wrong. This review highlights the history of research on HRT, including a timeline of studies that have or have not found a link between HRT and breast cancer; discusses how to distinguish important, robust findings from those that are trivial; closely examines the WHI findings on HRT and breast cancer, most of which are weak or statistically insignificant; reviews the current thinking about possible links of HRT with cardiovascular disease and cognitive functioning; and reports research on the benefits of HRT, notably relief of menopausal symptoms, that affect a woman’s quality of life. On these complicated matters, physicians and the public must be cautious about accepting findings by press release in determining whether to prescribe or take HRT.
The authors begin by addressing statistics, relative risk and data dredging.
Science is a process; it is rare that a single study gives us a definitive answer. Yet the news-hungry media crave breakthroughs and thrive on scare stories. Thus, it is essential to look behind the headlines to the actual data, to try to get a sense of the larger picture that emerges over time and across studies. Sometimes that larger picture yields a clear image; sometimes, as with HRT, it becomes foggier than ever. Two statistical errors common to research on HRT have contributed to that fog: one has to do with how risks are reported; the other has to do with the often inappropriate mining of data, when researchers retrospectively hunt around in their findings for something, anything, that might seem to be a significant risk factor.
Consider, first, the difference between absolute risk and relative risk. The media, following the example of many researchers themselves, tend to report relative risks, which are expressed in percentages that can seem more important than they are. For example, if we tell you that the relative risk of breast cancer is increased by 300% in women who eat a bagel every morning, that sounds serious, but it is not informative.
You would need to know the baseline absolute number of new breast-cancer patients. If the number shifted from 1 in 10,000 women to 3 in 10,000 women, that is a 300% increase, but it is very likely a random artifact. If the risk had jumped from 100 to 300 in 10,000, also a 300% increase, we might reasonably be concerned. In large epidemiological studies that generally include tens of thousands of people, it is very easy to find a small relationship that may be considered significant by statistical convention but which, in practical terms, means little or nothing because of the low absolute numbers.
This is why scientists who are working to promote statistical literacy, especially in helping the public and physicians understand actual versus inflated risks of diseases and treatments, emphasize that knowing the baseline of absolute numbers when comparing two groups is essential.Two major consensus projects on the reporting of clinical trials concluded that stating relative risks alone is often deceptive; results should be provided in absolute numbers, not only as percentage changes.
A reliance on relative risks can also create misleading, faulty comparisons. For example, let us say that 3% of the people who eat chocolates develop cavities, and 2% of people who do not eat chocolates develop cavities. The absolute difference between these populations is only 1%. That means that for every 100 people who eat chocolates, 1 extra person will develop cavities (in addition to the 2 who will develop cavities without eating a single truffle). This is not a particularly frightening risk if you enjoy chocolate. But suppose we report the identical conclusion as a relative risk: 1 additional case divided by the 2 baseline cases gives us an increased relative risk of 0.5 or 50%. A 50% increased risk in cavities if you occasionally eat chocolates! Stop at once!
That’s all I’m going to give you. Please read the article for a fascinating look at the research and what the data really shows vs what some have insisted it shows with regards to breast cancer rates, cardiovascular risk, stroke, cancer and death from all causes for women using HRT. What you think you know is probably not the truth.



