Evidence map›Paper›PMID 37091709›Full record

ArticleFrontiers in psychiatry2023

Typical disease courses of patients with unipolar depressive disorder after in-patient treatments-results of a cluster analysis of the INDDEP project.

Theresa Martinek, Marc Jarczok, Edit Rottler, Armin Hartmann, Almut Zeeck, Heinz Weiß, Jörn von Wietersheim

Abstract read
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Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Longitudinal Clustering of Psychopathology Across Childhood and Adolescence: An Approach Toward Developmentally Based Classification.Clinical psychological science : a journal of the Association for Psychological Science · 2025
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Theresa MartinekDepartment of Psychosomatic Medicine and Psychotherapy, Ulm University Medical Center, Ulm, Germany.
Marc JarczokDepartment of Psychosomatic Medicine and Psychotherapy, Ulm University Medical Center, Ulm, Germany.
Edit RottlerDepartment of Psychosomatic Medicine and Psychotherapy, Ulm University Medical Center, Ulm, Germany.
Armin HartmannDepartment of Psychosomatic Medicine and Psychotherapy, Medical University Hospital, Freiburg, Germany.
Almut ZeeckDepartment of Psychosomatic Medicine and Psychotherapy, Medical University Hospital, Freiburg, Germany.
Heinz WeißDepartment of Psychosomatic Medicine and Psychotherapy, Robert-Bosch-Krankenhaus, Stuttgart, Germany.
Jörn von WietersheimDepartment of Psychosomatic Medicine and Psychotherapy, Ulm University Medical Center, Ulm, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Previously established categories for the classification of disease courses of unipolar depressive disorder (relapse, remission, recovery, recurrence) are helpful, but insufficient in describing the naturalistic disease courses over time. The intention of the present study was to identify frequent disease courses of depression by means of a cluster analysis. Methods: For the longitudinal cluster analysis, 555 datasets of patients who participated in the INDDEP (INpatient and Day clinic treatment of DEPression) study, were used. The present study uses data of patients with at least moderate depressive symptoms (major depression) over a follow-up period of 1 year after their in-patient or day-care treatments using the LIFE (Longitudinal Interval Follow-Up Evaluation)-interview. Eight German psychosomatic hospitals participated in this naturalistic observational study. Results: Considering only the Calinski-Harabatz index, a 2-cluster solution gives the best statistical results. In combination with other indices and clinical interpretations, the 5-cluster solution seems to be the most interesting. The cluster sizes are large enough and numerically balanced. The KML-cluster analyses revealed five well interpretable disease course clusters over the follow-up period: "sustained treatment response" ( Conclusion: The disease courses of many patients diagnosed with a unipolar depression do not match with the historically developed categories such as relapse, remission, and recovery. Given this context, the introduction of disease course trajectories seems helpful. These findings may promote the implementation of new therapy options, adapted to the disease courses.

Indexed as

cluster analysisfollow up examinationin-patient treatmentmajor depression (MD)treatment response groups

Identifiers

PMID37091709
PMCPMC10117975

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