Evidence map›Paper›PMID 27872258›Full record

ArticleSchizophrenia bulletin2017

Bipolar At-Risk Criteria: An Examination of Which Clinical Features Have Optimal Utility for Identifying Youth at Risk of Early Transition From Depression to Bipolar Disorders.

Jan Scott, Steven Marwaha, Aswin Ratheesh, Iain Macmillan, Alison R Yung, Richard Morriss, Ian B Hickie, Andreas Bechdolf

Open access · bronzeAbstract read
In one paragraph

Article in Schizophrenia bulletin, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
5.6field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  6. Article
  7. Review
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  9. Article
  10. Article
  11. Review
  12. Review
  13. Epidemiology and risk factors for bipolar disorder.Therapeutic advances in psychopharmacology · 2018
    Review
  14. Review
  15. Article
  16. A Review of Matched-pairs Feature Selection Methods for Gene Expression Data Analysis.Computational and structural biotechnology journal · 2018
    Review
  17. Prodrome or risk syndrome: what's in a name?International journal of bipolar disorders · 2017
    Article
  18. 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

8 authors at 8 institutions in 3 countries.

Jan ScottInstitute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.
Steven MarwahaDivision of Health Sciences, Warwick Medical School, The University of Warwick, Coventry, UK.
Aswin RatheeshOrygen, the National Centre of Excellence in Youth Mental Health, Parkville, Australia.
Iain MacmillanEarly Intervention in Psychosis Service, NTW NHS Trust, Newcastle upon Tyne, UK.
Alison R YungFaculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Richard MorrissInstitute of Mental Health, University of Nottingham, Nottingham, UK.
Ian B HickieBrain and Mind Centre, The University of Sydney, Sydney, Australia.
Andreas BechdolfOrygen, the National Centre of Excellence in Youth Mental Health, Parkville, Australia.
Cumbria Northumberland Tyne and Wear NHS Foundation Trust · GBGreater Manchester Mental Health NHS Foundation Trust · GBInstitute of Mental Health · GBNewcastle University · GBOrygen Youth Health · AUUniversity of Melbourne · AUUniversity of Sydney · AUUniversity of Warwick · GB

Funding

Department of Health PB-PG-0609-16166Medical Research Council
6 · The paper itself

Abstract

Background: A clinical and research challenge is to identify which depressed youth are at risk of "early transition to bipolar disorders (ET-BD)." This 2-part study (1) examines the clinical utility of previously reported BD at-risk (BAR) criteria in differentiating ET-BD cases from unipolar depression (UP) controls; and (2) estimates the Number Needed to Screen (NNS) for research and general psychiatry settings. Methods: Fifty cases with reliably ascertained, ET-BD I and II cases were matched for gender and birth year with 50 UP controls who did not develop BD over 2 years. We estimated the clinical utility for finding true cases and screening out non-cases for selected risk factors and their NNS. Using a convenience sample (N = 80), we estimated the NNS when adjustments were made to account for data missing from clinical case notes. Results: Sub-threshold mania, cyclothymia, family history of BD, atypical depression symptoms and probable antidepressant-emergent elation, occurred significantly more frequently in ET-BD youth. Each of these "BAR-Depression" criteria demonstrated clinical utility for screening out non-cases. Only cyclothymia demonstrated good utility for case finding in research settings; sub-threshold mania showed moderate utility. In the convenience sample, the NNS for each criterion ranged from ~4 to 7. Conclusions: Cyclothymia showed the optimum profile for case finding, screening and NNS in research settings. However, its presence or absence was only reported in 50% of case notes. Future studies of ET-BD instruments should distinguish which criteria have clinical utility for case finding vs screening.

Indexed as

Disease ProgressionAdolescentAdultBipolar DisorderCase-Control StudiesChildCyclothymic DisorderDepressive DisorderFemaleHumansMaleRiskYoung Adultat-risk criteriabipolar disordercase findingclinical utility indexnumber needed to screenscreeningultra-high riskvalidityyouth

Identifiers

PMID27872258
PMCPMC5472157
OpenAlexW2549831261

What OpenQuestion holds

Textmetadata
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.