Evidence map›Paper›PMID 28783928›Full record

ReviewClinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology2017

Korean Medication Algorithm for Depressive Disorder: Comparisons with Other Treatment Guidelines.

Hee Ryung Wang, Won-Myong Bahk, Jeong Seok Seo, Young Sup Woo, Young-Min Park, Jong-Hyun Jeong, Won Kim, Se-Hoon Shim, Jung Goo Lee, Duk-In Jon and 1 more

Open access · diamondAbstract readReview
In one paragraph

Review in Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Korean Medication Algorithm Project for Depressive Disorder 2025: Comparisons with Other Treatment Guidelines.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2026
    Review
  4. Review
  5. Article
  6. Botulinum Toxin in Facial Aesthetics Affects the Emotion Process: A Meta-analysis of Randomized Controlled Trials.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2022
    Review
  7. The Korean Medication Algorithm Project for Depressive Disorder 2021: Comparisons with Other Treatment Guidelines.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2022
    Review
  8. Article
  9. A Practical Utility and Benefit of Pharmacogenetic-based Antidepressant Treatment Strategy for Major Depressive Disorder Patients with Difficult-to-treat.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2021
    Article
  10. Article
  11. Article
  12. Korean Medication Algorithm for Bipolar Disorder 2018: Comparisons with Other Treatment Guidelines.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2019
    Article
  13. A Pharmacogenomic-based Antidepressant Treatment for Patients with Major Depressive Disorder: Results from an 8-week, Randomized, Single-blinded Clinical Trial.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2018
    Article
  14. Korean Medication Algorithm Project for Bipolar Disorder 2018 (KMAP-BP 2018): Fourth Revision.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2018
    Article
  15. Pharmacological Treatment of Major Depressive Episodes with Mixed Features: A Systematic Review.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2018
    Review
  16. Korean Medication Algorithm for Depressive Disorders 2017: Third Revision.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2018
    Article
  17. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 8 institutions in 1 country.

Hee Ryung WangDepartment of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Won-Myong BahkDepartment of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Jeong Seok SeoDepartment of Psychiatry, Konkuk University School of Medicine, Chungju, Korea.
Young Sup WooDepartment of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Young-Min ParkDepartment of Psychiatry, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea.
Jong-Hyun JeongDepartment of Psychiatry, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Suwon, Korea.
Won KimDepartment of Psychiatry, Inje University Seoul Paik Hospital, Inje University School of Medicine, Seoul, Korea.
Se-Hoon ShimDepartment of Psychiatry, Soonchunhyang University Cheonan Hospital, Soonchunhyang University College of Medicine, Cheonan, Korea.
Jung Goo LeeDepartment of Psychiatry, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea.
Duk-In JonDepartment of Psychiatry, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea.
Kyung Joon MinDepartment of Psychiatry, Chung-Ang University College of Medicine, Seoul, Korea.
Catholic University of Korea · KRInje University · KRChung-Ang University · KRHallym University Sacred Heart Hospital · KRInje University Ilsan Paik Hospital · KRKonkuk University · KRSoonchunhyang University · KRThe Catholic University of Korea St. Vincent's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Depressive disorderExpert consensusGuidelineKMAP-DD 2017Therapy

Identifiers

PMID28783928
PMCPMC5565074
OpenAlexW2744598609

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.