Evidence map›Paper›PMID 40958798›Full record

ArticleFrontiers in psychiatry2025

Use of antidepressant medication is associated with slower response to open-ended psychotherapy for depressed patients.

Andreas Høstmælingen, Helene Amundsen Nissen-Lie, Jon Trygve Monsen, Erkki Heinonen, Bruce E Wampold, Nikolai Czajkowski, Endre Visted, Bjørn Lau, Ole Andrè Solbakken

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Andreas HøstmælingenDepartment of Psychology, University of Oslo, Oslo, Norway.
Helene Amundsen Nissen-LieDepartment of Psychology, University of Oslo, Oslo, Norway.
Jon Trygve MonsenDepartment of Psychology, University of Oslo, Oslo, Norway.
Erkki HeinonenDepartment of Psychology, University of Oslo, Oslo, Norway.
Bruce E WampoldDepartment of Counseling Psychology, University of Wisconsin-Madison, Madison, WI, United States.
Nikolai CzajkowskiDepartment of Psychology, University of Oslo, Oslo, Norway.
Endre VistedDepartment of Clinical Psychology, University of Bergen, Bergen, Norway.
Bjørn LauDepartment of Psychology, University of Oslo, Oslo, Norway.
Ole Andrè SolbakkenDepartment of Psychology, University of Oslo, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Depressed patients often experience both symptomatic distress and interpersonal problems. Comorbid personality disorder (PD) has been shown to attenuate the benefits of psychotherapy. Also, antidepressant medication (ADM) may affect the response to psychotherapy. The objective of this study was to investigate changes in depressive symptoms and interpersonal problems for ADM users and non-medicated depressed patients during psychotherapy and follow-up, controlling for comorbid PD. Method: Depressive symptoms (SCL-90-R), and interpersonal problems (IIP-64) were assessed on 11 occasions for 166 depressed patients. ADM was used by 50.6% of the sample while 49.4% were unmedicated. Change during treatment and follow-up was assessed with multilevel modeling. We assessed whether ADM and PD predicted differences in symptom development. Results: Depressive symptoms significantly reduced at a rate of.05 per month in treatment ( Conclusion: Medicated patients may experience less response to psychotherapy in terms of depressive symptoms and interpersonal problems compared to nonmedicated patients.

Indexed as

antidepressant medicationdepressioninterpersonal problemsopen ended treatmentpsychotherapy

Identifiers

PMID40958798
PMCPMC12433994

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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.