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A Role for Profiles of Patient-Specific Depression Characteristics and Socioeconomic Factors in the Prediction of Antidepressant Treatment Outcome

Year: 2015

Type: letter

Abstract: Article Abstract Because this piece does not have an abstract, we have provided for your benefit the first 3 sentences of the full text. To the Editor: In their recent article "Prognostic Subgroups for Citalopram Response in the STAR*D Trial," Jakubovski and Bloch conclude that baseline socioeconomic variables "are likely to be more informative than routine clinical variables such as past medication response, duration and severity of illness, and comorbid psychiatric illnesses" in the prediction of citalopram treatment outcome. In particular, their assertion carries the curious implication that demographic factors are more strongly related to treatment response than patient-specific ones. However, their findings are not in agreement with an earlier study we published using the same data and analysis methods.

Source: The Journal of Clinical Psychiatry

DOI: 10.4088/jcp.14lr09483

Authors: Felipe A. Jain, Aimee M. Hunter, Andrew F. Leuchter, John O. Brooks III

Institutions: University of California, Los Angeles, Connecticut Mental Health Center, National Institute of Mental Health

Language: English

Topic: Treatment of Major Depression

Subfield: Pharmacology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze