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. 2020 Nov 9;14(2):589–598. doi: 10.1111/cts.12914

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© 2020 The Authors. Clinical and Translational Science published by Wiley Periodicals LLC on behalf of the American Society for Clinical Pharmacology and Therapeutics.

This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

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Antidepressant‐related adverse events as measured by mean Antidepressant Side‐Effect Checklist (ASEC) scores over time for CYP2D6. Higher scores indicate higher number of adverse events related to antidepressant medications. This predictive model shows that from week 0 to week 4, poor metabolizers (PMs) and intermediate metabolizers (IMs) showed a steeper rate of decrease in ASEC scores. From the fourth week to the eighth week, scores are relatively stable independent of CYP2D6 phenotype. PMs and IMs showed the highest change in ASEC scores (worsening) from week 8 to week 12, whereas there is only a slight increase in normal metabolizers (NMs). RM, rapid metabolizer; UM, ultra‐rapid metabolizer.