Selective reporting of antidepressant trials may have adverse consequences


Selective reporting of antidepressant trials may have adverse consequences
Selective publication in reporting results of antidepressant trials exaggerates the effectiveness of the drugs, and may have adverse consequences for researchers, study participants, health care professionals, and patients, revealed in a new study.

The report is published in the New England Journal of Medicine NEJM, and the study is conducted by Erick Turner, M.D., assistant professor of psychiatry, physiology and phamacology at Oregon Health & Science University (OHSU) and Medical Director of the Portland Veterans Affairs Medical Center's Mood Disorders Program, and collegues.

Researchers examined reviews from the Food and Drug Administration (FDA) for trials of 12 widely prescribed antidepressant drugs approved between 1981 and 2004, involving 12,564 patients. They also conducted a systematic literature search to identify whether results of these studies had been published in medical journals. For trials that had been published, they compared the published version of the results with the FDA version of the results.

Whether and how the studies were published depended on how they turned out, Turner's team found. According to the published literature, nearly all studies conducted (94 percent) had positive treatment results, but FDA data showed that in fact only about half (51 percent) of the studies were positive. Positive studies, with one exception, were all published. Most studies (33 out of 36) that were not positive either were not published or were published as if they were positive, in conflict with the FDA conclusions. These 33 studies involved 5,212 patients.

"Selective publication can lead doctors and patients to believe drugs are more effective than they really are, which can influence prescribing decisions, said Turner. He also cautioned that the surprisingly large number of negative studies does not mean that antidepressants are ineffective. His team found that each drug, when all its studies were combined using a statistical technique called meta-analysis, was superior to treatment with a placebo (sugar pill). On the other hand, this analysis also showed that each drug, based on the FDA data, was less effective than it would appear from the published literature.

Turner said that he and his colleagues don't know whether the bias resulted from a failure of authors and sponsors to submit manuscripts, from decisions by journal editors and reviewers not to publish, or both. "Regardless, doctors and patients must have access to evidence that is complete and unbiased when they are weighing the risks and benefits of treatment," he emphasized.

Turner's co-authors include Annette Matthews, M.D., Eftihia Linardatos, B.S., Robert Tell, L.C.S.W., and Robert Rosenthal, Ph.D. Turner has been a clinical researcher in the intramural program of the National Institutes of Health's National Institute of Mental Health and has authored approximately 35 publications in peer reviewed journals. He served as a clinical reviewer of psychotropic drugs for three years at the FDA.

(Published at Health News Track on January 17, 2008 - 355 days ago)

Antidepressant article/news source:

New England Journal of Medicine - read other health news articles from New England Journal of Medicine and health news articles from UK.

Antidepressant - search related terms:

Antidepressant, Depression, Drug, Health, Medicine, Phamacology, Physiology, Psychiatry,

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Evidence-based medicine is valuable to the extent that the evidence base is complete and unbiased. Selective publication of clinical trials — and the outcomes within those trials — can lead to unrealistic estimates of drug effectiveness and alter the apparent risk–benefit ratio.
Antidepressant
An antidepressant is a medication used primarily in the treatment of depression. Depression can occur if some of the chemicals called neurotransmitters in the brain are not functioning effectively.

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