Evidence map›Paper›PMID 27741464›Full record

ArticleJournal of affective disorders2017

Factor analysis of temperament and personality traits in bipolar patients: Correlates with comorbidity and disorder severity.

Frank Qiu, Hagop S Akiskal, John R Kelsoe, Tiffany A Greenwood

Abstract read
In one paragraph

Article in Journal of affective disorders, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Dynamics of data-driven microstates in bipolar disorder.Journal of psychiatric research · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. 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.

Frank QiuDepartment of Psychiatry, University of California San Diego, La Jolla, CA, United States.
Hagop S AkiskalDepartment of Psychiatry, University of California San Diego, La Jolla, CA, United States; San Diego Veterans Affairs Healthcare System, San Diego, CA, United States; International Mood Center, La Jolla, CA, United States.
John R KelsoeDepartment of Psychiatry, University of California San Diego, La Jolla, CA, United States; San Diego Veterans Affairs Healthcare System, San Diego, CA, United States; Institute for Genomic Medicine, University of California, La Jolla, San Diego, CA, United States.
Tiffany A GreenwoodDepartment of Psychiatry, University of California San Diego, La Jolla, CA, United States. Electronic address: tgreenwood@ucsd.edu.

Funding

Genomic Association Study of Bipolar DisorderR01MH078151 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KELSOE, JOHN R. · 2007 to 2009
$5.5M
COLLABORATIVE GENOMIC STUDY OF BIPOLAR DISORDERR01MH059567 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KELSOE, JOHN R. · 1998 to 2007
$1.8M
The Convergence and Divergence of Schizophrenia and Bipolar DisorderK01MH087889 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GREENWOOD, TIFFANY A · 2010 to 2014
$858k
Assessment of Positive Traits within the Bipolar SpectrumR21MH106917 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GREENWOOD, TIFFANY A · 2015 to 2016
$426k
NIMH NIH HHS K01 MH087889NIMH NIH HHS R01 MH059567NIMH NIH HHS R01 MH078151NIMH NIH HHS R21 MH106917
6 · The paper itself

Abstract

backgroundTemperament and personality traits have been suggested as endophenotypes for bipolar disorder based on several lines of evidence, including heritability. Previous work suggested an anxious-reactive factor identified across temperament and personality inventories that produced significant group discrimination and could potentially be useful in genetic analyses. We have attempted to further characterize this factor structure in a sample of bipolar patients.

methodsA sample of 1195 subjects with bipolar I disorder was evaluated, all with complete data available. Dimension reduction across two inventories identified 18 factors explaining 39% of the variance.

resultsThe two largest factors reflected affective instability and general anxiety/worry, respectively. Subsequent analyses of the clinical features associated with bipolar disorder revealed specificity for the factors in a predictable pattern. Cluster analysis of the factors identified a subgroup defined by a strong lack of general anxiety and low affective instability represented by the first two factors. The remaining subjects could be distinguished into two clusters by the presence of either more positive characteristics, including persistence/drive, spirituality, expressivity, and humor, or more negative characteristics of depression and anxiety. LIMITATIONS: These analyses involved bipolar I subjects only and must be extended to other bipolar spectrum diagnoses, unaffected relatives, and individuals at risk.

conclusionsThese results suggest that temperament and personality measures access latent traits associated with important clinical features of bipolar disorder. By translating clinical variables into quantitative traits, we may identify subgroups of bipolar patients with distinct clinical profiles, thereby facilitating both individual treatment strategies and genetic analyses.

Indexed as

Psychiatric Status Rating ScalesTemperamentBipolar DisorderCluster AnalysisFactor Analysis, StatisticalFemaleHumansMalePhenotypeBipolar disorderClusterFactorPersonalityTemperament

Identifiers

PMID27741464
PMCPMC5107122

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.