More data, more answers: picking the optimal antidepressant

Sagar Parikh, MD
Sagar V. Parikh, M.D., FRCPC, Associate Director John F. Greden Professor of Depression and Clinical Neuroscience, Professor of Psychiatry, University of Michigan Medical, Director, National Network of Depression Centers

Lancet commentary| 21 February 2018 | Sagar V. Parikh, MD and Sidney H. Kennedy, MD.
In an era of increasingly large datasets for health and emphasis on so-called big data analyses, key clinical questions remain unpretentiously simple. For example, do some antidepressants work better than others for depression? And are some more tolerable than others, at least as measured in dropout rates? A quick PubMed search of antidepressant meta-analyses yields more than 2000 hits, but the complexity of understanding which antidepressants are better or more tolerable than others is made particularly daunting by the fact that more than 40 antidepressants are available.

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