In many markets, consumers and policymakers have incomplete information on product effectiveness and quality. Consequently, firms often finance research on their own products. For example, automakers run fuel-economy tests for new vehicles, sunscreen manufacturers pay laboratories to test their products, and drug manufacturers often conduct clinical trials.
Clinical trials are a key component of pharmaceutical research and development. Trials are also expensive and risky investments. The average cost of a late-stage clinical trial is $35 million, an estimated 70% of trials are funded by industry, and the pharmaceuticals market in the United States alone is valued at $480 billion.
The results of trials shape regulatory, prescribing, and medical treatment decisions for decades afterward. For instance, trials have direct consequences for the health of the population, as seen by trials on the benefits of statins, the risks of hormone replacement therapy, and recent COVID-19 vaccines.
On one hand, firms’ research may have welfare benefits, as other parties can use the knowledge produced at minimal marginal cost. On the other hand, industry research may have specific, less relevant characteristics, and the knowledge produced may not be shared with the public. A new scientific paper written by Tama Oostrom, an assistant professor of economics at Ohio State University, published by the Journal of Political Economy measures how industry and financial incentives shape available evidence in the pharmaceutical market.
This paper quantifies how financial incentives affect the results of randomized control trials (RCTs) and specifically clinical trials. It also estimates the downstream consequences of financial incentives on trial characteristics and the availability of the research. The identification strategy uses the key insight that the exact same pairs of drugs can be tested in different RCTs conducted by parties with different financial interests.
The research method construct a novel dataset of psychiatric clinical trials where the exact same pairs of drugs are examined in trials with different sponsorship interests. And focused on antidepressants and antipsychotics due their market size as well as data availability.
As an example of the identifying variation, Wyeth Pharmaceuticals introduced a new antidepressant drug, Effexor, in 1993. Over the next decade and a half, Wyeth funded RCTs comparing the effectiveness of Effexor with Eli Lilly’s blockbuster drug Prozac. In 12 of the 14 trials funded solely by Wyeth, Effexor was more effective than Prozac. In contrast, only one of the three trials with alternate funding found Effexor to be more effective. Each of these trials is a double-blind RCT comparing the exact same two molecules and examining the same standard outcomes.
Her research analyzed the published papers of 509 trials and 1,215 treatment arms (groups of participants). Most of the trials were published after the drug gained approval from the U.S. Food and Drug Administration (FDA). About three-quarters of them examined were for antidepressants, with the remaining quarter for antipsychotic medications.The study sample included 23 FDA-approved drugs and seven nonapproved drugs.
Ultimately the research found that a drug is reported to be 49% more effective when the trial is sponsored by that drug’s manufacturing or marketing firm, compared with the same drug evaluated against the same comparators but without the drug manufacturer’s or marketer’s involvement.
Sponsored drugs are also 43% more likely to report statistically significant improvements and 73% more likely to be the most effective drug in their trial, again, compared with the same molecule tested against the same pair of drugs but without funding from the drug’s manufacturer. The author refers to the main effect as a “sponsorship effect.”
The concluding comments by the author said that the “magnitude of the effect of funding on drug efficacy has substantial implications for drug approvals and prescriptions.”
The study confirms that the funding of studies greatly influences their design and results, Dr. Chad Savage, an internal medicine specialist and founder of YourChoice Direct Care, told The Epoch Times. “Multiple attempts have been made over the years to counter this effect, such as requiring financial disclosures from authors, but none have succeeded in fully eradicating the bias that can exist,” Savage said.
According to Dr. Peter C. Gøtzsche, professor of clinical research design and analysis at the University of Copenhagen, the bias in industry-sponsored trials is massive. “In head-to-head trials where Prozac was the drug of interest, significantly more patients improved on Prozac than in trials where Prozac was the comparator drug,” Gøtzsche told The Epoch Times.