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Open Access Publications from the University of California

A role for profiles of patient-specific depression characteristics and socioeconomic factors in the prediction of antidepressant treatment outcome.

  • Author(s): Jain, Felipe A
  • Hunter, Aimee M
  • Leuchter, Andrew F
  • Brooks, John O
  • et al.

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Creative Commons 'BY-NC' version 4.0 license

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.

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