Evidence map›Paper›PMID 40988375›Full record

ArticleThe British journal of psychiatry : the journal of mental science2026

Determining essential dimensions for the clinical approximation of personality disorder severity: multi-method study.

André Kerber, Caroline Macina, Ludwig Ohse, Leonie Kampe, Oliver Busch, Michael Rentrop, Christine Knaevelsrud, Johannes Wrege, Susanne Hörz-Sagstetter

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In one paragraph

Article in The British journal of psychiatry : the journal of mental science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

9 authors.

André KerberDivision of Clinical Psychological Intervention, Freie Universität Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0002-8588-7784
Caroline MacinaUniversity Psychiatric Clinics (UPK) Basel, Basel, Switzerland.ORCID https://orcid.org/0000-0002-3861-0539
Ludwig OhseDepartment of Clinical Psychology and Psychotherapy, Psychologische Hochschule Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0001-6214-2491
Leonie KampeDepartment of Psychiatry, Psychotherapy, and Psychosomatic Medicine, Klinikum Itzehoe, Itzehoe, Germany.ORCID https://orcid.org/0000-0002-2096-7820
Oliver BuschDepartment of Clinical Psychology and Psychotherapy, Psychologische Hochschule Berlin, Berlin, Germany.
Michael RentropKBO-Inn-Salzach Klinikum, Wasserburg am Inn, Germany.
Christine KnaevelsrudDivision of Clinical Psychological Intervention, Freie Universität Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0003-1342-7006
Johannes WregeUniversity Psychiatric Clinics (UPK) Basel, Basel, Switzerland.ORCID https://orcid.org/0000-0003-3538-2881
Susanne Hörz-SagstetterDepartment of Clinical Psychology and Psychotherapy, Psychologische Hochschule Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0001-6051-5207

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDecades of research on the dimensional nature of personality disorder have led to the replacement of categorical personality disorder diagnoses by a dimensional assessment of personality disorder severity (PDS) in ICD-11, which essentially corresponds to personality functioning in the alternative DSM-5 model for personality disorders. Besides advancing the focus in the diagnosis of PD on impairments in self- and interpersonal functioning, this shift also urges clinicians and researchers worldwide to get familiar with new diagnostic approaches.

aimsThis study investigated which PDS dimensions among different assessment methods and conceptualisations have the most predictive value for overall PDS.

methodUsing semi-structured interviews and self-reports of personality functioning, personality organisation and personality structure in clinical samples of different settings in Switzerland and Germany (

resultsOur results showed that four interview-assessed PDS dimensions: defence mechanisms, desire and capacity for closeness, sense of self, and comprehension and appreciation of others' experiences and motivations account for 91.1% of variance of g-PDS, with a combination of either two of these four dimensions already explaining between 81.8 and 91.3%. Regarding self-reports, the dimensions depth and duration of connections, self-perception, object perception and attachment capacity to internal objects predicted 61.3% of the variance of a latent interview-based score, with all investigated self-reported dimensions together adding up to 65.2% variance explanation.

conclusionsTaken together, our data suggest that focusing on specific dimensions, such as intimacy and identity, in time-limited settings might be viable in determining PDS efficiently.

Indexed as

Personality DisordersAdolescentAdultAgedFemaleGermanyHumansInterview, PsychologicalMaleMiddle AgedSelf ReportSeverity of Illness IndexSwitzerlandYoung Adultcriterion Adimensional assessment of personality disorderDSM-5 alternative model for personality disorders (AMPD)personality disorder in ICD-11Personality disorder severity (PDS)

Identifiers

PMID40988375
PMCPMC12722010

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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.