Evidence map›Paper›PMID 26360452›Full record

ArticleThe lancet. Psychiatry2015

Staging bipolar disorder: what data and what models are needed?

David J Kupfer, Ellen Frank, Fiona C Ritchey

Abstract read
PubMed Publisher
In one paragraph

Article in The lancet. Psychiatry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
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  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Systems Chronotherapeutics.Pharmacological reviews · 2017
    Review
  15. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

David J KupferDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. Electronic address: kupferdj@upmc.edu.
Ellen FrankDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Fiona C RitcheyDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.

Funding

Reducing Medical Risks in Individuals with Bipolar DisorderR01MH081003 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KUPFER, DAVID J · 2008 to 2012
$3.1M
NIMH NIH HHS MH081003
6 · The paper itself

Abstract

Although bipolar disorder is increasingly recognised as a spectrum of multisystem disorders (ie, bipolar disorders), proposed staging models and theories of bipolar disease progression often fail to incorporate longitudinal data or data from multiple domains of dysfunction. We propose that bipolar disorders are best thought of as syndromes, with different trajectories of development and progression for various symptoms and demographic groups. This inherent complexity might be better suited to non-traditional modelling techniques, potentially derived from chaos theory. In this Personal View, we propose an allostatic load framework to account for biomarkers of physiological symptom progression. We then suggest integration of two potential domains of biobehavioural markers: sleep and wake and circadian rhythm regulation and the behavioural activation system. A satisfactory model should account for the effects of developmental stage as well as demographic characteristics, including but not limited to sex, culture, ethnicity, and socioeconomic status. The ultimate goal of a staging model has to be to inform the development of targeted, stage-appropriate interventions to reduce the substantial burden of bipolar disorders on individuals and societies.

Indexed as

Models, PsychologicalBiomarkersBipolar DisorderCircadian RhythmDisease ProgressionHumansPsychotherapySleepBiomarkers

Identifiers

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.