Evidence map›Paper›PMID 34829488›Full record

ReviewDiagnostics (Basel, Switzerland)2021

Borderline Personality Disorder: Risk Factors and Early Detection.

Paola Bozzatello, Claudia Garbarini, Paola Rocca, Silvio Bellino

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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

  1. Pooled it
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  15. Meta-model of Human Recognition-behavioral Adaptation System.Integrative psychological & behavioral science · 2024
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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

4 authors.

Paola BozzatelloDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126 Turin, Italy.
Claudia GarbariniDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126 Turin, Italy.
Paola RoccaDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126 Turin, Italy.
Silvio BellinoDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126 Turin, Italy.ORCID 0000-0002-6555-8000

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Personality disorders (PDs) exert a great toll on health resources, and this is especially true for borderline personality disorder (BPD). As all PDs, BPD arises during adolescence or young adulthood. It is therefore important to detect the presence of this PD in its earlier stages in order to initiate appropriate treatment, thus ameliorating the prognosis of this condition. This review aims to highlight the issues associated with BPD diagnosis in order to promote its early detection and treatment. To do so, we conducted a search on PubMed database of current evidence regarding BPD early diagnosis, focusing on risk factors, which represent important conditions to assess during young patient evaluation, and on diagnostic tools that can help the clinician in the assessment process. Our findings show how several risk factors, both environmental and genetic/neurobiological, can contribute to the onset of BPD and help identify at-risk patients who need careful monitoring. They also highlight the importance of a careful clinical evaluation aided by psychometric tests. Overall, the evidence gathered confirms the complexity of BDP early detection and its crucial importance for the outcome of this condition.

Indexed as

borderline personality disorderdiagnosisearly detectionearly onsetrisk factors

Identifiers

PMID34829488
PMCPMC8620075

What OpenQuestion holds

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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.