Evidence map›Paper›PMID 42022017›Full record

ArticlePsychiatric research and clinical practice2026

Prevalence and Clinical Impact of Attention Deficit Hyperactivity Disorder in Patients With Severe Borderline Personality Disorder.

María Del Pilar Paz-Otero, Íñigo Alberdi-Páramo, José Luis Carrasco-Perera, Marina Díaz-Marsá

Abstract read
In one paragraph

Article in Psychiatric research and clinical practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

María Del Pilar Paz-OteroInstitute of Psychiatry and Mental Health Hospital Clínico San Carlos Madrid Spain.
Íñigo Alberdi-PáramoInstitute of Psychiatry and Mental Health Hospital Clínico San Carlos Madrid Spain.
José Luis Carrasco-PereraInstitute of Psychiatry and Mental Health Hospital Clínico San Carlos Madrid Spain.
Marina Díaz-MarsáInstitute of Psychiatry and Mental Health Hospital Clínico San Carlos Madrid Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to estimate the prevalence and assess the clinical impact of ADHD in patients with severe borderline personality disorder (BPD) treated in a specialized unit. Methods: Cross-sectional study of a sample of 145 patients diagnosed with BPD according to DSM-5 criteria, consecutively referred by outpatient psychiatrists to a Personality Disorders Unit. ADHD symptoms were assessed using the self-reported long version of the Conners Adult ADHD Rating Scale (CAARS-S:L). Groups were compared based on ADHD presence. Hypothesis testing was performed and variables with statistically significant differences were further analyzed using linear correlation and simple linear regression analyses. Results: Of the 145 BPD patients, 88 (60.7%) scored above 70 on the CAARS S:L. The BPD-ADHD group showed significantly greater anxiety, depression, impulsivity, poorer global functioning, and more severe BPD symptoms. Among ADHD domains, inattention is the one that best predicts the clinical severity of BPD. Conclusions: The coexistence of BPD and ADHD is associated with greater clinical severity and poorer overall functioning. Inattention, in particular, emerges as a key factor explaining BPD symptom variability. Relevance to Clinical Practice: These findings emphasize the importance of systematically screening for ADHD symptoms in patients with severe BPD. Recognizing and addressing this comorbidity may allow clinicians to design more comprehensive treatment strategies, reduce clinical severity, and improve functional outcomes.

Identifiers

PMID42022017
PMCPMC13097573

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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.