Evidence map›Paper›PMID 38584324›Full record

ArticleThe British journal of psychiatry : the journal of mental science2024

Towards precision in the diagnostic profiling of patients: leveraging symptom dynamics as a clinical characterisation dimension in the assessment of major depressive disorder.

Omid V Ebrahimi, Denny Borsboom, Ria H A Hoekstra, Sacha Epskamp, Edoardo G Ostinelli, Jojanneke A Bastiaansen, Andrea Cipriani

Abstract read
In one paragraph

Article in The British journal of psychiatry : the journal of mental science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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  14. The effect of psychotherapy on the multivariate association between insomnia and depressive symptoms in late-life depression.European psychiatry : the journal of the Association of European Psychiatrists · 2025
    Article
  15. The Potential of Personalized Post-Traumatic Stress Disorder Networks.Psychiatry and clinical psychopharmacology · 2025
    Article
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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.

Omid V EbrahimiDepartment of Experimental Psychology, University of Oxford, Oxford, UK; and Department of Psychology , University of Oslo, Oslo, Norway.ORCID 0000-0002-8335-2217
Denny BorsboomDepartment of Psychology, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0001-9720-4162
Ria H A HoekstraDepartment of Psychology, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0003-2997-0556
Sacha EpskampDepartment of Psychology, National University of Singapore, Singapore, Singapore.ORCID 0000-0003-4884-8118
Edoardo G OstinelliDepartment of Psychiatry, University of Oxford, Oxford, UK; Oxford Precision Psychiatry Laboratory, NIHR Oxford Health Biomedical Research Centre, Oxford, UK; and Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK.ORCID 0000-0002-8717-0832
Jojanneke A BastiaansenInterdisciplinary Center Psychopathology and Emotion Regulation, Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands; and Friesland Mental Health Care Services, Leeuwarden, The Netherlands.ORCID 0000-0003-4831-6402
Andrea CiprianiDepartment of Psychiatry, University of Oxford, Oxford, UK; Oxford Precision Psychiatry Laboratory, NIHR Oxford Health Biomedical Research Centre, Oxford, UK; and Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK.ORCID 0000-0001-5179-8321

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInternational guidelines present overall symptom severity as the key dimension for clinical characterisation of major depressive disorder (MDD). However, differences may reside within severity levels related to how symptoms interact in an individual patient, called symptom dynamics.

aimsTo investigate these individual differences by estimating the proportion of patients that display differences in their symptom dynamics while sharing the same overall symptom severity.

methodParticipants with MDD (

resultsDifferential symptom dynamics were identified across 63.0% (95% bootstrapped CI 41.0-82.1) of participants within the same severity group. The average false detection of individual differences was 2.2%.

conclusionsThe majority of participants within the same depressive symptom severity group displayed differential symptom dynamics. Examining symptom dynamics provides information about person-specific psychopathological expression beyond severity levels by revealing how symptoms aggravate each other over time. These results suggest that symptom dynamics may be a promising new dimension for clinical characterisation, warranting replication in independent samples. To inform personalised treatment planning, a next step concerns linking different symptom relationship patterns to treatment response and clinical course, including patterns related to spontaneous recovery and forms of disorder progression.

Indexed as

Major Depressive DisorderSeverity of Illness IndexAdultEcological Momentary AssessmentFemaleHumansIndividualityMaleMiddle AgedPsychiatric Status Rating ScalesSelf ReportYoung AdultDepressionindividual differencespersonalised assessmentprecision psychiatrysymptom relationship patterns

Identifiers

PMID38584324
PMCPMC11039556

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Registered trials

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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.