Evidence map›Paper›PMID 35806970›Full record

ReviewJournal of clinical medicine2022

The Use of Computer-Driven Technologies in the Treatment of Borderline Personality Disorder: A Systematic Review.

Alexandre Hudon, Caroline Gaudreau-Ménard, Marissa Bouchard-Boivin, Francis Godin, Lionel Cailhol

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Efficacy and recommendations for the delivery of telehealth psychotherapy for people with personality disorder.Australasian psychiatry : bulletin of Royal Australian and New Zealand College of Psychiatrists · 2024
    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

5 authors.

Alexandre HudonDepartment of Psychiatry and Addictology, Faculty of Medicine, University of Montreal, Montreal, QC H3T 1J4, Canada.ORCID 0000-0002-4868-0928
Caroline Gaudreau-MénardGMF-U Hochelaga-Maisonneuve, Montreal, QC H1V 1K2, Canada.
Marissa Bouchard-BoivinDepartment of Psychiatry and Addictology, Faculty of Medicine, University of Montreal, Montreal, QC H3T 1J4, Canada.
Francis GodinDepartment of Psychiatry and Addictology, Faculty of Medicine, University of Montreal, Montreal, QC H3T 1J4, Canada.
Lionel CailholInstitut Universitaire en Santé Mentale de Montréal, Montreal, QC H1N 3M5, Canada.ORCID 0000-0002-5931-8182

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to perform a systematic review of the effectiveness of computer-driven technologies for treatment of patients suffering from BPD. A systematic literature review was conducted using the Pubmed, EMBASE, PsycNET (PsycINFO), CINAHL and Google Scholar electronic databases for the period from their inception dates until 2022. Thirty studies were selected for abstract screening. Seven studies were excluded for not meeting inclusion criteria. The remaining 23 studies were fully assessed, and 12 were excluded. Therefore, 11 studies were included in the analysis of the effectiveness of computer-driven technologies, which encompassed mobile applications, telehealth interventions, internet-based interventions, virtual reality MBT and dialogue-based integrated interventions. Computer-driven interventions are showing signs of effectiveness in the treatment of BPD symptoms. The limited number of articles found on the subject demonstrates a need for further exploration of this subject.

Indexed as

borderlinecomputer-drivenpersonality disordersystematic reviewtreatment

Identifiers

PMID35806970
PMCPMC9267789

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.