Evidence map›Paper›PMID 29614851›Full record

ArticlePsychiatry investigation2018

The MAKE Biomarker Discovery for Enhancing anTidepressant Treatment Effect and Response (MAKE BETTER) Study: Design and Methodology

Hee-Ju Kang, Ju-Wan Kim, Seon-Young Kim, Sung-Wan Kim, Hee-Young Shin, Myung-Geun Shin, Jae-Min Kim

Erratum issuedOpen access · diamondAbstract read
In one paragraph

Article in Psychiatry investigation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.3field-weighted citation impact, top 25% 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

25 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Sex-specific Serum Biomarker Associations with Antidepressant Treatment Outcomes in Depressive Disorders.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2026
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  5. Clinical Outcomes and Treatment Intensification across Depression Subtypes in Patients Receiving Stepwise Pharmacotherapy over 24 Months.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2025
    Article
  6. Article
  7. Article
  8. Interplay between Stressful Life Events and Interleukin-1β on 12-week Antidepressant Response in Depressive Patients.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2025
    Article
  9. Article
  10. Article
  11. Use of Serum Biomarkers to Aid Antidepressant Selection in Depressive Patients.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Interactive Effects of Serum Leptin Levels and Physical Comorbidity on the Pharmacotherapeutic Response of Depressive Disorders.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2022
    Article
  16. Article
  17. Associations of Serum Serotonin Levels with 12-week and 12-month Remission in Patients with Depressive Disorders.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2022
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Hee-Ju KangDepartment of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea.
Ju-Wan KimDepartment of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea.
Seon-Young KimMental Health Clinic, Chonnam National University Hwasun Hospital, Hwasun, Republic of Korea.
Sung-Wan KimDepartment of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea.
Hee-Young ShinDepartment of Biomedical Science, Chonnam National University Medical School, and Clinical Trial Center, Chonnam National University Hospital, Gwangju, Republic of Korea.
Myung-Geun ShinDepartment of Laboratory Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea.
Jae-Min KimDepartment of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea.
Chonnam National University · KRChonnam National University Hospital · KR

Funding

Ministry of Health and Welfare HI12C0003Ministry of Science, ICT and Future Planning 2016R1C1B2006793National Research Foundation of Korea
6 · The paper itself

Abstract

objectiveDepression is associated with a major disease burden, and many individuals suffer from depressive symptoms due to an insufficient response to ostensibly adequate antidepressant treatment. Therefore, it is important to identify reliable treatment response predictors for use in developing personalized treatment strategies.

methodsThe MAKE Biomarker discovery for Enhancing anTidepressant Treatment Effect and Response (MAKE BETTER) study was performed to identify predictors of antidepressant response using a 2-year naturalistic prospective design. Participants in the MAKE BETTER study were consecutively recruited from patients who visited the Psychiatry Department of Chonnam National University Hospital, Gwangju, South Korea for treatment of a depressive disorder. Data on demographic and clinical characteristics, genetic markers measured by whole-exome sequencing, and blood markers were obtained. The types and doses of antidepressants were determined based on the clinical judgment of the psychiatrist, and the treatment outcomes (e.g., depressive and other psychiatric symptoms and issues related to safety) were assessed.

resultsWe will be able to use the data collected in this study to develop a treatment-response prediction index composed of biomarkers.

conclusionThe MAKE BETTER study will provide an empirical basis for a personalized medicine approach to depression by enabling the prediction of antidepressant treatment response according the characteristics of each patient. It will thereby support evidence-based decision-making that decreases the use of a trial-and-error approach to the treatment of depressive disorders.

Indexed as

Biological markerDepressionObservational studyPredictorsTreatment response

Identifiers

PMID29614851
PMCPMC5975999
OpenAlexW2795922535

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.