Evidence map›Paper›PMID 28861763›Full record

ArticleInternational journal of bipolar disorders2017

Prediction of vulnerability to bipolar disorder using multivariate neurocognitive patterns: a pilot study.

Mon-Ju Wu, Benson Mwangi, Ives Cavalcante Passos, Isabelle E Bauer, Bo Cao, Thomas W Frazier, Giovana B Zunta-Soares, Jair C Soares

Erratum issuedAbstract read
In one paragraph

Article in International journal of bipolar disorders, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Mon-Ju WuUT Center of Excellence on Mood Disorder, Department of Psychiatry and Behavioral Sciences, The University of Texas Science Center at Houston, Houston, TX, USA. mon-ju.wu@uth.tmc.edu.ORCID http://orcid.org/0000-0002-0540-8027
Benson MwangiUT Center of Excellence on Mood Disorder, Department of Psychiatry and Behavioral Sciences, The University of Texas Science Center at Houston, Houston, TX, USA.
Ives Cavalcante PassosUT Center of Excellence on Mood Disorder, Department of Psychiatry and Behavioral Sciences, The University of Texas Science Center at Houston, Houston, TX, USA.
Isabelle E BauerUT Center of Excellence on Mood Disorder, Department of Psychiatry and Behavioral Sciences, The University of Texas Science Center at Houston, Houston, TX, USA.
Bo CaoUT Center of Excellence on Mood Disorder, Department of Psychiatry and Behavioral Sciences, The University of Texas Science Center at Houston, Houston, TX, USA.
Thomas W FrazierCleveland Clinic Children's Hospital Center for Pediatric Behavioral Health, Cleveland, OH, USA.
Giovana B Zunta-SoaresUT Center of Excellence on Mood Disorder, Department of Psychiatry and Behavioral Sciences, The University of Texas Science Center at Houston, Houston, TX, USA.
Jair C SoaresUT Center of Excellence on Mood Disorder, Department of Psychiatry and Behavioral Sciences, The University of Texas Science Center at Houston, Houston, TX, USA.

Funding

Searching for Endophenotypes of Bipolar DisorderR01MH085667 · NIMH · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI SOARES, JAIR C · 2012 to 2016
$3.0M
NIMH NIH HHS R01 MH085667
6 · The paper itself

Abstract

Bipolar disorder (BD) is a common disorder with high reoccurrence rate in general population. It is critical to have objective biomarkers to identify BD patients at an individual level. Neurocognitive signatures including affective Go/No-go task and Cambridge Gambling task showed the potential to distinguish BD patients from health controls as well as identify individual siblings of BD patients. Moreover, these neurocognitive signatures showed the ability to be replicated at two independent cohorts which indicates the possibility for generalization. Future studies will examine the possibility of combining neurocognitive data with other biological data to develop more accurate signatures.

Indexed as

Bipolar disorderCANTABMachine learningNeurocognitionVulnerability

Identifiers

PMID28861763
PMCPMC5578943

What OpenQuestion holds

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LicenceCC BY
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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.