Evidence map›Paper›PMID 40656082›Full record

ArticleNeuroscience applied2024

Psychoneuroendocrine profiles of unmedicated men with major depressive disorder and associations to treatment effects and sexual side-effects.

Kristian H Reveles Jensen, Malene Ravn Aarestrup, Søren Vinther Larsen, Kristin Köhler-Forsberg, Gitte Moos Knudsen, Martin Balslev Jørgensen, Vibe G Frokjaer

Registry-linked trialAbstract read
In one paragraph

Article in Neuroscience applied, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02869035 (Predicting Treatment Outcome in Major Depressive Disorder), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT02869035 phase1completednot on this map

Predicting Treatment Outcome in Major Depressive Disorder

TypeinterventionalSponsorRigshospitalet, DenmarkRan2016 to 2019Enrolled100ConditionsMajor Depressive DisorderArmsEscitalopram, Duloxetine
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Kristian H Reveles JensenNeurobiology Research Unit, Rigshospitalet, Copenhagen, Denmark.
Malene Ravn AarestrupNeurobiology Research Unit, Rigshospitalet, Copenhagen, Denmark.
Søren Vinther LarsenNeurobiology Research Unit, Rigshospitalet, Copenhagen, Denmark.
Kristin Köhler-ForsbergNeurobiology Research Unit, Rigshospitalet, Copenhagen, Denmark.
Gitte Moos KnudsenNeurobiology Research Unit, Rigshospitalet, Copenhagen, Denmark.
Martin Balslev JørgensenNeurobiology Research Unit, Rigshospitalet, Copenhagen, Denmark.
Vibe G FrokjaerNeurobiology Research Unit, Rigshospitalet, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sex hormones are potentially involved in major depressive disorder (MDD) as there are sex differences in risk for depression, symptomatology and treatment efficacy. Such hormonal contributions to MDD have mainly been studied in women and scarcely in men. We, therefore, investigate whether testosterone and estradiol levels in unmedicated men with MDD are associated with depressive symptom profiles, SSRI treatment response, and sexual side-effects. Pretreatment plasma testosterone and estradiol were available from 26 unmedicated men (age 18-49). The patients were treated with 10-20 mg escitalopram for 12 weeks. Depression severity was measured by Hamilton Depression Rating Scale 17 (HAMD17), and treatment response was the change in HAMD6 from baseline. Sexual side-effects were assessed with a standardized clinician-rated scale. Pretreatment testosterone was positively associated with depression severity ( Data from: Clinical study (NCT02869035).

Indexed as

EscitalopramEstrogenMood disorderSexual dysfunctionSSRITestosterone

Identifiers

PMID40656082
PMCPMC12244185

What OpenQuestion holds

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Registered trials

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.