Evidence map›Paper›PMID 25048003›Full record

ReviewMolecular psychiatry2015

All the world's a (clinical) stage: rethinking bipolar disorder from a longitudinal perspective.

E Frank, V L Nimgaonkar, M L Phillips, D J Kupfer

Abstract readReview
In one paragraph

Review in Molecular psychiatry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

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

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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

4 authors.

E FrankDepartments of Psychiatry and Psychology, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
V L NimgaonkarDepartments of Psychiatry and Psychology, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
M L PhillipsDepartments of Psychiatry and Psychology, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
D J KupferDepartments of Psychiatry and Psychology, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
Children of Bipolar Parents: A High Risk Follow Up Study (also known as Bipolar Offspring Study - BIOS)R01MH060952 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BIRMAHER, BORIS, PHILLIPS, MARY LOUISE · 2001 to 2020
$20.4M
Establishing Moderators/Biosignatures of Antidepressant Response- Clinical CareU01MH092221 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI TRIVEDI, MADHUKAR H. · 2010 to 2015
$9.7M
Biosignatures of Treatment Remission in Major DepressionU01MH092250 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MCGRATH, PATRICK J, PARSEY, RAMIN V. · 2010 to 2015
$8.9M
Longitudinal Assessment of Manic Symptoms (LAMS)R01MH073953 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BIRMAHER, BORIS, PHILLIPS, MARY LOUISE · 2005 to 2016
$8.7M
A Neurobehavioral Family Study of SchizophreniaR01MH063480 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NIMGAONKAR, VISHWAJIT LAXMIKANT · 2001 to 2018
$6.1M
Psychiatric research infrastructure for intervention and implementation in India – TEAMSD43TW009114 · FIC · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Smita N Deshpande, Mary Elizabeth Hawk · 2014 to 2026
$3.2M
Reducing Medical Risks in Individuals with Bipolar DisorderR01MH081003 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KUPFER, DAVID J · 2008 to 2012
$3.1M
Tri National Training Program in Psychiatric GeneticsD43TW008302 · FIC · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MANSOUR, HADER A., NIMGAONKAR, VISHWAJIT LAXMIKANT · 2009 to 2013
$542k
4/5 Genetics of Transcriptional Endophenotypes in SchizophreniaR01MH093745 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NIMGAONKAR, VISHWAJIT LAXMIKANT · 2012 to 2014
$224k
FIC NIH HHS D43 TW008302FIC NIH HHS D43 TW009114FIC NIH HHS TW008302NCATS NIH HHS UL1 TR000005NIMH NIH HHS MH060952-12S1NIMH NIH HHS MH073953NIMH NIH HHS MH081003NIMH NIH HHS MH092221-03NIMH NIH HHS MH0922250NIMH NIH HHS MH09375NIMH NIH HHS MH63480NIMH NIH HHS R01 MH060952NIMH NIH HHS R01 MH063480NIMH NIH HHS R01 MH073953NIMH NIH HHS R01 MH081003NIMH NIH HHS R01 MH093745NIMH NIH HHS U01 MH092221NIMH NIH HHS U01 MH092250
6 · The paper itself

Abstract

Psychiatric disorders have traditionally been classified using a static, categorical approach. However, this approach falls short in facilitating understanding of the development, common comorbid diagnoses, prognosis and treatment of these disorders. We propose a 'staging' model of bipolar disorder that integrates genetic and neural information with mood and activity symptoms to describe how the disease progresses over time. From an early, asymptomatic, but 'at-risk' stage to severe, chronic illness, each stage is described with associated neuroimaging findings as well as strategies for mapping genetic risk factors. Integrating more biologic information relating to cardiovascular and endocrine systems, refining methodology for modeling dimensional approaches to disease and developing outcome measures will all be crucial in examining the validity of this model. Ultimately, this approach should aid in developing targeted interventions for each group that will reduce the significant morbidity and mortality associated with bipolar disorder.

Indexed as

Longitudinal StudiesBipolar DisorderComorbidityDisease ProgressionGenetic Predisposition to DiseaseHumansModels, BiologicalNeuroimagingRisk Factors

Identifiers

PMID25048003
PMCPMC4303542

What OpenQuestion holds

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Registered trials

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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.