Evidence map›Paper›PMID 34056864›Full record

ArticleBrain and behavior2021

Self-report screening instruments differentiate bipolar disorder and borderline personality disorder.

Brian A Palmer, Mehak Pahwa, Jennifer R Geske, Simon Kung, Malik Nassan, Kathryn M Schak, Renato D Alarcon, Mark A Frye, Balwinder Singh

Open access · goldAbstract read
In one paragraph

Article in Brain and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 13% of its field
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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Article
  5. The clinical characterization of the adult patient with bipolar disorder aimed at personalization of management.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2022
    Article
  6. Review
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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 at 2 institutions in 2 countries.

Brian A PalmerDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.
Mehak PahwaDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.
Jennifer R GeskeDepartment of Quantitative Health Services, Mayo Clinic, Rochester, MN, USA.
Simon KungDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.
Malik NassanDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.
Kathryn M SchakDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.
Renato D AlarconDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.
Mark A FryeDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.
Balwinder SinghDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0001-7062-8192
Mayo Clinic · USAllina Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBipolar disorder (BD) and borderline personality disorder (BPD) share overlapping phenomenology and are frequently misdiagnosed. This study investigated the diagnostic accuracy of the Mood Disorder Questionnaire (MDQ) and McLean Screening Instrument for Borderline Personality Disorder (MSI) in a clinical inpatient setting and whether individual screening items could differentiate BD from BPD.

methods757 sequential inpatients admitted to a Mood Disorder Unit completed both the MDQ and MSI. Screen positive for the MDQ was defined as ≥7/13 symptoms endorsed with concurrence and at least moderate impact. Screen positive for the MSI was defined as a score of ≥7. The clinical discharge summary diagnosis completed by a board-certified psychiatrist was used as the reference standard to identify concordance rates of a positive screen with clinical diagnosis. Individual items predicting one disorder and simultaneously predicting absence of other disorder by odds ratio (OR>and <1) were identified.

resultsBoth screening instruments were more specific than sensitive (MDQ 83.7%/ 67.8%, MSI 73.2% / 63.3%). MDQ individual items (elevated mood, grandiosity, increased energy, pressured speech, decreased need for sleep, hyperactivity) were significant predictors of BD diagnosis and non-predictors of BPD diagnosis. Whereas MSI subitem, self-harm behaviors/suicidal attempts predicted BPD in the absence of BD; distrust and irritability were additional predictors of BPD.

conclusionWhile this study is limited by the lack of structured diagnostic interview, these data provide differential symptoms to discriminate BD and BPD. Further work with larger datasets and more rigorous bioinformatics machine learning methodology is encouraged to continue to identify distinguishing features of these two disorders to guide diagnostic precision and subsequent treatment recommendations.

Indexed as

Bipolar DisorderBorderline Personality DisorderHumansInpatientsMood DisordersSelf ReportSurveys and Questionnairesbipolar disorderborderline personality disorderMDQMSI

Identifiers

PMID34056864
PMCPMC8323027
OpenAlexW3164331296

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.