Business Standard

Doantidepr­essants work?

- AARON E CARROLL

More people in the United States are on antidepres­sants, as a percentage of the population, than any other country in the world. And yet the drugs’ efficacy has been hotly debated.

Some believe that the short-term benefits are much more modest than widely thought, and that harms may outweigh benefits in the long run. Others believe that they work, and that they can be life-changing.

Settling this debate has been much harder than you might think.

It’s not that we lack research. Many, many studies of antidepres­sants can be found in the peerreview­ed literature. The problem is that this has been a prime example of publicatio­n bias: positive studies are likely to be released, with negative ones more likely to be buried in a drawer.

In 2008, a group of researcher­s made this point by doing a meta-analysis of antidepres­sant trials that were registered with the Food and Drug Administra­tion as evidence in support of approvals for marketing or changes in labelling. Companies had to submit the results of registered trials to the F D A regardless of the result. These trials also tend to have less data massaging — such as the cherry-picking of outcomes — than might be possible in journals.

The researcher­s found 74 studies, with more than 12,500 patients, for drugs approved between 1987 and 2004. About half of these trials had “positive” results, in that the antidepres­sant performed better than a placebo; the other half were “negative.” But if you looked only in the published literature, you’d get a much different picture. Nearly all of the positive studies are there. Only three of the negative studies appear in the literature as negative. Twenty-two were never published, and 11 were published but repackaged so that they appeared positive.

A second meta-analysis published that year also used F D A data instead of the peer-reviewed literature, but asked a different question. Researcher­s wondered if the effectiven­ess of a study was related to the baseline levels of depression of its participan­ts. The results suggested yes. The effectiven­ess of antidepres­sants was limited for those with moderate depression, and small for those with severe depression.

The take-home message from these two studies was that the effectiven­ess of antidepres­sants had been overstated, and that the benefit might be limited to far fewer patients than were actually using the drugs.

These points, and more, were made in a paper written by John Ioannidis in the journal Philosophy, Ethics, andHumanit­ies in Medicine in 2008. He argued that the study designs and population­s selected, especially the short length of many studies, biased them to positive results. He argued that while many studies achieved statistica­l significan­ce, they failed to achieve clinical significan­ce. He argued that we knew too little about long-term harms, and that we were being presented with biased informatio­n by looking only at published data.

This paper—“Effectiven­ess of Antidepres­sants: An Evidence Myth Constructe­d From a Thousand Randomized Trials?” — sowed lingering doubts about the use of antidepres­sants and the conduct of medical research. But recently, the most comprehens­ive antidepres­sants study to date was published, and it appears to be a thorough effort to overcome the hurdles of the past.

Researcher­s, including Ioannidis this time, searched the medical literature, regulatory agency websites and internatio­nal registers for both published and unpublishe­d double-blind randomised controlled trials, all the way till the beginning of 2016.

They looked for both placebo-controlled and head-to-head trials of 21 antidepres­sants used to treat adults for major depressive disorder. They used a “network meta-analysis technique,” which allows multiple treatments to be compared both within individual trials directly and across trials indirectly to a common comparator. They examined not only how well the drugs worked, but also how tolerated the treatment was — what they called acceptabil­ity.

They found 522 trials that included more than 116,000 participan­ts. Of those, 86 were unpublishe­d studies found on trial registries and company websites. An additional 15 were discovered through personal communicat­ion or by handsearch­ing review articles. The authors went an extra step and asked for unpublishe­d data on the studies they found, getting it for more than half of the included trials.

The reassuring news is that all of the antidepres­sants were more effective than placebos. They varied modestly in terms of efficacy and acceptabil­ity, so each patient and doctor should discuss potential benefits and harms of individual drugs.

Further good news is that smaller trials did not have substantia­lly different results from larger trials.

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