Evidence map›Paper›PMID 41089426›Full record

ReviewPCN reports : psychiatry and clinical neurosciences2025

Longitudinal trajectories of major depressive disorder provide further clinical perspectives for precision psychiatry.

Murat İlhan Atagün

Abstract readReview
In one paragraph

Review in PCN reports : psychiatry and clinical neurosciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Murat İlhan AtagünDepartment of Psychiatry Çanakkale Onsekiz Mart University Faculty of Medicine Çanakkale Turkey.ORCID https://orcid.org/0000-0002-8514-0576

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major depressive disorder (MDD) is a common and debilitating disorder. MDD was considered to be a relatively benign disorder compared to other major psychiatric disorders. However, longitudinal research revealed heterogeneous and frequently chronic course. Episodic or chronic progress reframes MDD as a disorder with a variable and enduring course. The recognition of MDD's heterogeneity has prompted a methodological evolution in psychiatric research, moving away from group-level averages toward more sophisticated, person-centered analytical techniques. In addition to inherent heterogeneity, biological, psychosocial, and environmental factors are also influential on the clinical manifestations of MDD. The course of major depressive disorder is not only heterogeneous among individuals but also varies systematically across different populations. Multiple models have consistently identified several distinct trajectory classes across diverse populations and study designs, providing a more nuanced map of how MDD unfolds over a lifetime. The concept of MDD subtyping within precision psychiatry directly addresses its inherent heterogeneity. If different subtypes of MDD possess distinct neurobiological underpinnings, then identifying these specific subtypes through biomarkers may lead to highly targeted and significantly more effective treatments. Longitudinal perspectives are indispensable for an accurate understanding of prognosis, the development of preventive strategies, and the implementation of effective long-term management plans that can alter the illness's trajectory. It was aimed to review the MDD trajectories, treatments, and symptom clusters from population and life span-based perspectives in this paper.

Indexed as

biomarkersheterogeneitymajor depressive disorderpersonalized medicineprognosis

Identifiers

PMID41089426
PMCPMC12515983

What OpenQuestion holds

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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 OpenQuestion graph.