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KMID : 1009020170150030199
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Clinical Psychopharmacology and Neuroscience
2017 Volume.15 No. 3 p.199 ~ p.209
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Korean Medication Algorithm for Depressive Disorder: Comparisons with Other Treatment Guidelines
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Wang Hee-Ryung
Bahk Won-Myong
Seo Jeong-Seok
Woo Young-Sup
Park Young-Min
Jeong Jong-Hyun
Kim Won
Shim Se-Hoon
Lee Jung-Goo
Jon Duk-In
Min Kyung-Joon
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Abstract
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In this review, we compared recommendations from the Korean Medication Algorithm Project for Depressive Disorder 2017 (KMAP-DD 2017) to other global treatment guidelines for depression. Six global treatment guidelines were reviewed; among the six, 4 were evidence-based guidelines, 1 was an expert consensus-based guideline, and 1 was an amalgamation of both evidence and expert consensus-based recommendations. The recommendations in the KMAP-DD 2017 were generally similar to those in other global treatment guidelines, although there were some differences between the guidelines. The KMAP-DD 2017 appeared to reflect current changes in the psychopharmacology of depression quite well, like other recently published evidence-based guidelines. As an expert consensus-based guideline, the KMAP-DD 2017 had some limitations. However, considering there are situations in which clinical evidence cannot be drawn from planned clinical trials, the KMAP-DD 2017 may be helpful for Korean psychiatrists making decisions in the clinical settings by complementing previously published evidence-based guidelines.
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KEYWORD
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Depressive disorder, Expert consensus, Guideline, KMAP-DD 2017, Therapy
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