Evidence map›Paper›PMID 34444069›Full record

ArticleInternational journal of environmental research and public health2021

Assessment Tool of Bipolar Disorder for Primary Health Care: The SAEBD.

Jose Manuel Montes, Ana Pascual, Sandra Molins Pascual, Carmen Loeck, Maria Belen Gutiérrez Bermejo, Cristina Jenaro

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Jose Manuel MontesPsychiatry Service, Hospital Ramón y Cajal, 28034 Madrid, Spain.
Ana PascualDivision of Psychiatry, Imperial College London, London W12 0NN, UK.
Sandra Molins PascualInstitute of Legal Medicine of Valencia, 46013 Valencia, Spain.ORCID 0000-0003-2704-492X
Carmen LoeckPsychiatry Service, Hospital Ramón y Cajal, 28034 Madrid, Spain.
Maria Belen Gutiérrez BermejoProtección de las Personas con Discapacidad (PROTEDIS), Faculty of Psychology, Universidad Nacional de Educación a Distancia (UNED), 28040 Madrid, Spain.
Cristina JenaroInstituto Universitario de Integración en la Comunidad (INICO), Faculty of Psychology, Universidad de Salamanca, 37005 Salamanca, Spain.ORCID 0000-0003-2060-1658

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mixed states are highly prevalent in patients with bipolar disorder and require comprehensive scales. Considering this, the current study aims to develop a measure to assess the full spectrum of clinical manifestations of bipolar disorder. A sample of 88 patients was evaluated; the Hamilton Depression Scale (HAM-D), Montgomery-Asberg Depression Scale (MADRS), and the Young Mania Rating Scale (YMRS) were applied, together with the preliminary version of the Scale for the Assessment of Episodes in Bipolar Disorder (SAEBD). After analyzing the appropriateness and statistical properties of the items, discriminant analysis and analysis of diagnostic capacity were performed. The discriminant functions correctly classified 100% of the cases in euthymia, predominant depressive symptoms or mixed symptoms, as well as 92.3% of the cases with predominant manic symptoms. Overall, the functions correctly classified 98.9% of the cases. The area under the curve (0.935) showed high capacity to discriminate between clinical and non-clinical cases (i.e., in euthymia). The SAEBD sensitivity was 0.95, specificity was 0.71, the Positive Predictive Value (PPV) was 0.88, the Negative Predictive Value (NPV) was 0.87, the Positive Likelihood Ratio (+LR) was 3.33, and the Negative Likelihood Ratio (-LR) was 0.07. In conclusion, the SAEBD is a promising scale that shows high reliability and validity, as well as diagnostic utility as a screening tool for use in diverse health care settings.

Indexed as

Bipolar DisorderHumansPredictive Value of TestsPrimary Health CarePsychiatric Status Rating ScalesReproducibility of Resultsassessmentbipolar disorderprimary health carerating scalesreceiver-operating-characteristics curveSAEBDsensitivity and specificity

Identifiers

PMID34444069
PMCPMC8392302

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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.