Evidence map›Paper›PMID 35466096›Full record

ArticleClinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology2022

Associations of Serum Serotonin Levels with 12-week and 12-month Remission in Patients with Depressive Disorders.

Wonsuk Choi, Hee-Ju Kang, Ju-Wan Kim, Hee Kyung Kim, Ho-Cheol Kang, Ju-Yeon Lee, Sung-Wan Kim, Robert Stewart, Jae-Min Kim

Abstract read
In one paragraph

Article in Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. 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
    Article
  2. Advances and Challenges in Depression Marker Research.Neuropsychiatric disease and treatment · 2025
    Review
  3. Review
  4. Article
  5. Article
  6. Possible Link between Serotonin and Interleukin 18 on Suicidality in Patients with Acute Coronary Syndrome.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2023
    Article
  7. Article
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

9 authors.

Wonsuk ChoiDepartment of Internal Medicine, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea.ORCID https://orcid.org/0000-0002-0523-0839
Hee-Ju KangDepartment of Psychiatry, Chonnam National University Medical School, Gwangju, Korea.ORCID https://orcid.org/0000-0001-5113-8841
Ju-Wan KimDepartment of Psychiatry, Chonnam National University Medical School, Gwangju, Korea.ORCID https://orcid.org/0000-0002-9888-1090
Hee Kyung KimDepartment of Internal Medicine, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea.ORCID https://orcid.org/0000-0002-1617-3171
Ho-Cheol KangDepartment of Internal Medicine, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea.ORCID https://orcid.org/0000-0002-0448-1345
Ju-Yeon LeeDepartment of Psychiatry, Chonnam National University Medical School, Gwangju, Korea.ORCID https://orcid.org/0000-0003-0653-7223
Sung-Wan KimDepartment of Psychiatry, Chonnam National University Medical School, Gwangju, Korea.ORCID https://orcid.org/0000-0002-6739-2163
Robert StewartKing's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.ORCID https://orcid.org/0000-0002-4435-6397
Jae-Min KimDepartment of Psychiatry, Chonnam National University Medical School, Gwangju, Korea.ORCID https://orcid.org/0000-0001-7409-6306

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate associations between baseline serum serotonin levels and short- and long-term treatment outcomes in outpatients with depressive disorders in a naturalistic one-year prospective study design. Methods: Patients were recruited at a University hospital in South Korea from March 2012 to April 2017. At baseline, blood samples were obtained from 1,094 patients who received initial antidepressant monotherapy (Step 1). After the Step 1 treatment, further treatment steps (at least Steps 2-4) could be administered every 3 weeks during the acute treatment phase (3, 6, 9, and 12 weeks; n = 1,086), and every 3 months during the continuation treatment phase (6, 9, and 12 months; n = 884). In cases showing an insufficient response or intolerable side effects, patients were asked to choose whether to remain at the current step or enter the next treatment step, with alternative strategies including switching, augmentation, combination, and a mixture of these approaches. Remission was defined as a Hamilton Depression Rating Scale score of ≤ 7. Results: The remission group had significantly higher baseline serum serotonin levels among patients who received Step 1 monotherapy in both acute and continuation treatment phases. These associations remained significant after adjustment for relevant covariates. No associations were found with any other treatment steps. Conclusion: Baseline serum serotonin levels may be used as a biomarker for predicting short- and long-term treatment outcomes in antidepressant monotherapy-treated patients with depressive disorders in a real-world clinical setting.

Indexed as

AntidepressantDepressionRemission inductionSerotoninTreatment

Identifiers

PMID35466096
PMCPMC9048016

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Registered trials

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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.