Abstract
Objective: Since its development in 2002 by the Korean College of Neuropsychopharmacology and the Korean Society for Affective Disorders, the Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD) has undergone five revisions. Methods: To improve survey efficiency, reflect general clinical practice, and facilitate comparisons with previous KMAP-DD revisions, the overall structure of the questionnaire was retained. The six sections of the questionnaire were as follows: 1) pharmacological treatment strategies for major depressive disorder with and without psychotic features; 2) pharmacological treatment strategies for persistent depressive disorder and other depressive disorder subtypes; 3) consensus on treat-ment-resistant depression; 4) selection of an antidepressant in consideration of safety, adverse effects, and comorbid phys-ical conditions; 5) treatment strategies for special populations (children/adolescents, elderly, and women); and 6) non-phar-macological biological therapies. First-, second-, and third-line treatment recommendations were statistically derived. Results: Compared to KMAP-DD 2021, only minor changes were noted, due to the limited introduction of new medi-cations or treatment modalities. Nonetheless, notable shifts included an increased preference for atypical antipsychotics (AAPs), and higher preference of combination strategies involving AAPs and mood stabilizers, indicating a more proac-tive and intensive treatment trend in Korea. Conclusion: KMAP-DD is expected to serve as a valuable clinical resource by providing expert consensus-based recommendations on specific treatment strategies and pharmacological options for major depressive disorders, thereby support-ing the integration of real-world clinical practice with evidence-based medicine.
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Kim, N. Y., Seo, J. S., Bahk, W. M., Choi, W. S., Wang, S. M., Woo, Y. S., … Min, K. J. (2025). Korean Medication Algorithm for Depressive Disorder 2025, Fifth Revision: An Executive Summary. Clinical Psychopharmacology and Neuroscience, 23(4), 683–706. https://doi.org/10.9758/cpn.25.1328
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