Evidence map›Paper›PMID 28680639›Full record

ArticleBorderline personality disorder and emotion dysregulation2017

Subtypes of borderline personality disorder patients: a cluster-analytic approach.

Maaike L Smits, Dine J Feenstra, Dawn L Bales, Jasmijn de Vos, Zwaan Lucas, Roel Verheul, Patrick Luyten

Abstract read
In one paragraph

Article in Borderline personality disorder and emotion dysregulation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Maaike L SmitsViersprong Institute for Studies on Personality Disorders, Halsteren, The Netherlands.
Dine J FeenstraViersprong Institute for Studies on Personality Disorders, Halsteren, The Netherlands.
Dawn L BalesViersprong Institute for Studies on Personality Disorders, Halsteren, The Netherlands.
Jasmijn de VosNetherlands Psychoanalytic Institute, Amsterdam, The Netherlands.
Zwaan LucasLentis, Groningen, The Netherlands.
Roel VerheulViersprong Institute for Studies on Personality Disorders, Halsteren, The Netherlands.
Patrick LuytenFaculty of Psychology and Educational Sciences, University of Leuven, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe borderline personality disorder (BPD) population is notably heterogeneous, and this has potentially important implications for intervention. Identifying distinct subtypes of patients may represent a first step in identifying which treatments work best for which individuals.

methodsA cluster-analysis on dimensional personality disorder (PD) features, as assessed with the SCID-II, was performed on a sample of carefully screened BPD patients (

resultsA three-cluster solution was retained, which identified three clusters of BPD patients with distinct profiles. The largest cluster (

conclusionsThree meaningful subtypes of BPD patients were identified with distinct profiles. Differences were small, even when controlling for severity of PD pathology, suggesting a strong common factor underlying BPD. These results may represent a stepping stone toward research with larger samples aimed at replicating the findings and investigating differential trajectories of change, treatment outcomes, and treatment approaches for these subtypes.

trial registrationThe study was retrospectively registered 16 April 2010 in the

Indexed as

Borderline personality disorderCluster analysisComorbidityPersonality dimensionsSubtypes

Identifiers

PMID28680639
PMCPMC5494904

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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.