Unfortunately, ethics often clash with profits in this trillion-dollar industry, which can result in either big profits or huge losses. Discover the ingredients of what constitutes trustworthy medical trials.
Is Medical Treatment Always the Best Option?
Here’s a classic quote about taking medication to help with a common cold. A doctor might say, “If you take this medicine, you’ll be better in seven days. If not, you’ll get better in a week.”
Think about the last time you had a cold. You probably got better in a week or so. But if you saw a doctor and were prescribed an antibiotic, you might think you got better because of the medicine.
The medicine, however, did not help. Antibiotics cannot help with a viral illness like a common cold, but they might seem to because you will get better if you take them.
Of course, you will also get better if you don’t take them. But you’re likely to give credit to the medicine, the doctor, or the therapy, and not just to Mother Nature, though she’s the one who did the real work.
This is a transcript from the video series The Skeptic’s Guide to Health, Medicine, and the Media. Watch it now, on Wondrium.
Accounting for the Placebo Effect
Scientific studies of medications or therapies can’t simply look at people who take the drug to see if they get better; the results of what happens with and without the therapy must be compared to know if it was the therapy that made the difference.
To do this, a legitimate clinical study must include at two groups of people: one group, called the study group, takes the new medicine or tries the new therapy; the other group, the control group, does not.
Comparing two groups, the study and the control group, lets you separate the effect of the natural history of the disease, but we must also consider the effects of wishful thinking.
People want to get better and they want to believe that whatever they’re doing is going to help, especially if what they’re doing is expensive or time-consuming.
Placebos, as they’re called, are sham treatments—sometimes sugar pills, or a fake surgery that makes you think you’ve had an effective procedure done. The control group in a study is there not to cancel out the natural history of the disease, but also to measure this placebo effect.
For that reason, the control group should be given what they think is the drug or the therapy. It should look, taste, and seem like the same thing as the real therapy, so the study participants in both groups don’t know if they’re getting real medicine or a placebo.
A double-blind study means that neither the patients nor their doctors and nurses know who’s taking the real drug. The best studies randomize the study participants into these two groups, in a pattern that cannot be guessed.
The ideal clinical studies, then, are randomized, placebo-controlled, and double-blinded. If studies like these are done well, they’re the best way to know that a specific treatment works for a given condition.
But as we’ll see, even these kinds of studies aren’t always done or reported in a way that helps us easily understand the simple question of whether a drug is effective.
Learn more about how to better understand and evaluate medical data
Medical Drug Development: A Trillion Dollar Business
Drug development and sales is a huge business—the market worldwide is about a trillion dollars a year, largely dominated by huge U.S. companies. The Tufts Center for the Study of Drug Development estimated in 2014 that it took, on average, $2.6 billion to develop a new drug and bring it to market.
That number has been hotly disputed, especially since the Tufts Center is heavily funded by the pharmaceutical industry. However, there’s no doubt that a hugely successful drug, while fiendishly expensive to develop, can potentially generate huge revenue.
There’s a huge risk, too. If the drug doesn’t pan out, the loss in development costs is substantial.
But if it does work out, there’s serious money to be made in the pharmaceutical business.
Learn more about health, medicine, and the media
Tamiflu: An Effective Flue-Fighting Drug?
One drug that hit it big in the United States and abroad is Hoffmann-La Roche’s Tamiflu. It was synthesized, originally, from an extract that came from the Chinese star anise and licensed for sale to help fight influenza infections in the United States in 1999.
Since its launch, cumulative sales have totaled at least $18 billion in the United States, about half of which was for governments and companies around the world to stock up for a feared global pandemic. Most of that, of course, has never been used.
The drug Tamiflu is a clever one. It deactivates a protein on the outside of the influenza virus so the virus can’t travel through cell membranes. It doesn’t destroy the virus, but it can prevent it from replicating, spreading, and infecting more cells.
Hypothetically, especially if given early in the illness, Tamiflu ought to prevent people from getting sick with influenza, perhaps shortening the illness, making it milder, or making it less likely that serious complications will occur.
That’s all hypothetical, of course. What mattered were the studies, especially the double-blind, placebo-controlled clinical trials, that compare Tamiflu with placebo among people who’ve caught the flu.
Influenza, of course, is a significant cause of misery, illness, and death, though the exact numbers here aren’t so straightforward. Influenza alone doesn’t commonly kill people, but it often contributes to death in people with heart or lung disease.
Learn more about Influenza: the Past and Future Threat
NPR reported this well in their piece, “How Many People Die from Flu Each Year? Depends How You Slice the Data.” A number that had been often quoted was that the flu caused 36,000 deaths a year in the United States. That was the figure from the CDC until 2010, when reporters were asked to give a more accurate range of deaths, from 3,300 to 49,000 per year.
That’s a lot of variability from year to year, which makes studying drug and vaccine effectiveness more difficult. A lot of the variability from year to year is because of the circulating virus itself, not the interventions that we use to try to stop it.
Though difficult and expensive to perform, Roche did do several clinical trials of Tamiflu. One study, published in the Journal of the American Medical Association in 2000, showed that starting Tamiflu early in the course of a flu infection reduced the duration of illness by 30 percent, and significantly reduced the complication rate.
A similarly positive study appeared in The Lancet that same year. In 2003, a meta-analysis of all of the Tamiflu studies to date was published. A meta-analysis is sort of a study of studies, combining data from clinical trials to make one huge study.
The 2003 meta-analysis concluded that Tamiflu was effective in reducing complications and hospitalization, and helped support the idea of stockpiling Tamiflu for future emergencies. Roche claimed overall that Tamiflu reduced hospital admissions by over 60 percent, and reduced serious complications of flu by two-thirds.
Tamiflu became part of the standard, recommended care for flu in many countries, and the World Health Organization added it to the list of “essential medications” that should be available to everyone.
However, this would change soon.
Common Questions About Conducting Trustworthy Medical Trials
Good clinical trials share a number of common factors, including blind controls, double-blind randomization, and clearly documented data. These processes help ensure the trial provides a useful result.