Evidence map›Paper›PMID 23798968›Full record

ArticlePsychiatry investigation2013

No Association between Serotonin Receptor 2C-759C/T Polymorphism and Weight Change or Treatment Response to Mirtazapine in Korean Depressive Patients.

Hwa-Young Lee, Chae Keun Oh, Byung-Joo Ham, Hun Soo Chang, Jong-Woo Paik, Eun-Soo Won, Sang-Woo Hahn, Se-Hoon Shim, Young-Joon Kwon, Hee-Yeon Jung and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Psychiatry investigation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

11 authors at 3 institutions in 1 country.

Hwa-Young LeeDepartment of Psychiatry, College of Medicine, Soonchunhyang University, Cheonan, Republic of Korea.
Chae Keun Oh
Byung-Joo Ham
Hun Soo Chang
Jong-Woo Paik
Eun-Soo Won
Sang-Woo Hahn
Se-Hoon Shim
Young-Joon Kwon
Hee-Yeon Jung
Min-Soo Lee
Korea University · KRSoonchunhyang University · KRKyung Hee University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveActivation of one or more serotonin (5-HT) receptors may play a role in mediating the antidepressant effects of serotonergic antidepressants. The serotonin 2C (5HT 2C) receptor is known to be associated with antidepressant action and weight gain. We sought to determine whether the 5-HTR 2C receptor -759C/T polymorphism was associated with weight gain and treatment response to mirtazapine in major depressive disorder (MDD) patients.

methodsThe 5-HT 2C receptor -759C/T polymorphism was analyzed in 323 MDD patients. All patients were evaluated using the 21-item Hamilton Depression Rating Scale at the beginning of the study and at 1, 2, 4, and 8 weeks of mirtazapine treatment.

resultsThere was no significant difference in the 5-HT 2C receptor -759C/T genotype distribution between responder and non-responder groups. The 5-HT 2C receptor -759C/T polymorphism was not associated with weight change over time after mirtazapine administration.

conclusionThe 5-HT 2C receptor -759C/T polymorphism does not appear to be a predictor of treatment response to mirtazapine. This polymorphism was not associated with weight change after 8 weeks of mirtazapine treatment. Further investigation on other polymorphisms of the 5-HT 2C gene is required to determine whether the 5-HT 2C gene influences treatment response and weight change after mirtazapine administration in patients with major depressive disorder.

Indexed as

Major depressive disorderMirtazapinePolymorphismSerotonin 2C receptor

Identifiers

PMID23798968
PMCPMC3687054
OpenAlexW2109980796

What OpenQuestion holds

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LicenceCC BY-NC
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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.