Evidence map›Paper›PMID 39629756›Full record

ArticlePsychiatry and clinical psychopharmacology2024

Short-Term Risk of Type 2 Diabetes in Patients Using Various Antidepressants Compared with Patients Using Fluoxetine.

Hee-Cheol Kim

Abstract read
In one paragraph

Article in Psychiatry and clinical psychopharmacology, 2024. 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
–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

1 citing paper in PubMed.

  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

1 author.

Hee-Cheol KimDepartment of Psychiatry, Keimyung University School of Medicine, Daegu, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The objective is to compare the risk of developing type 2 diabetes (T2D) within a year in patients prescribed various antidepressants (ADs) and those prescribed fluoxetine as a control group. Methods: This study used standardized data from the Health Insurance Review and Assessment Service claims database (n=1,456,489). Patients aged ≥10 years with no previous use of ADs and no history of diabetes mellitus, regardless of whether they were diagnosed with any depressive disorder, were eligible for this study. Among these eligible patients, those who had used ADs for the first time or had never used them between January 2017 and December 2017 were selected for this study. I compared the short-term (<12 months) risk of T2D in patients using various ADs, excluding tricyclic ADs, with those using fluoxetine as a control. The Cox proportional hazards model was used to calculate hazard ratios (HRs). Results: The HRs (95% confidence intervals) for T2D incidence in the various AD groups compared with that in the fluoxetine group are as follows: 0.84 (0.67-1.06, P = .15), bupropion; 0.91 (0.77- 1.07, P=.25), tianeptine; 0.91 (0.77-1.07, P=.25), escitalopram; 0.96 (0.82-1.13, P = .63), paroxetine; 0.97 (0.70-1.35, P=.87), fluvoxamine; 1.07 (0.85-1.36, P=.55), vortioxetine; 1.07 (0.91-1.25, P=.42), sertraline; 1.14 (0.99-1.31, P = .07), duloxetine; 1.17 (0.97-1.41, P = .09), mirtazapine; 1.17 (1.00-1.38, P=.05), trazodone; 1.22 (1.04-1.45, P=.02), venlafaxine; and 1.29 (1.03-1.61, P = .03), milnacipran. Conclusion: The short-term risk of T2D was significantly higher in the milnacipran and venlafaxine groups than in the fluoxetine group. All other ADs except milnacipran and venlafaxine showed no difference in the risk of developing T2D compared to fluoxetine. These results suggest that clinicians should be mindful of the risk of developing T2D when administering milnacipran and venlafaxine to patients.

Identifiers

PMID39629756
PMCPMC11744381

What Socratic 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 Socratic graph.