Evidence map›Paper›PMID 20374153›Full record

SynthesisInternational review of psychiatry (Abingdon, England)2009

Hyperintense MRI lesions in bipolar disorder: A meta-analysis and review.

John L Beyer, Robert Young, Maragatha Kuchibhatla, K Ranga R Krishnan

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in International review of psychiatry (Abingdon, England), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 5 pooled it
2.6field-weighted citation impact, top 11% 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

42 citing papers in PubMed, 5 syntheses or guidelines pooled it, 129 citations in OpenAlex.

  1. Pooled it
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  6. Review
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  9. The Immunoseasonal Theory of Psychiatric Disorders.Journal of clinical medicine · 2023
    Article
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  15. Evaluating endophenotypes for bipolar disorder.International journal of bipolar disorders · 2021
    Review
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  18. Article
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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 at 3 institutions in 1 country.

John L BeyerDepartment of Psychiatry, Duke University Medical Center, Durham, North Carolina, USA. Beyer001@mc.duke.edu
Robert Young
Maragatha Kuchibhatla
K Ranga R Krishnan
Duke Medical Center · USCornell University · USDuke University Hospital · US

Funding

BIPOLAR DISORDER IN LATE LIFER01MH057027 · NIMH · DUKE UNIVERSITY · PI BEYER, JOHN LESLIE · 1998 to 2009
$2.6M
Treatment of Bipolar Disorder in Old AgeK02MH067028 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI YOUNG, ROBERT C. · 2003 to 2013
$1.2M
NIMH NIH HHS K02 MH067028NIMH NIH HHS MH57027NIMH NIH HHS R01 MH057027
6 · The paper itself

Abstract

backgroundCortical and subcortical hyperintensities in magnetic resonance imaging (MRI) scans are thought to represent areas of ischemic damage to brain tissue. Researchers have focused on the possible role these lesions may have in psychiatric disorders, including bipolar disorder. In 1997, the proposed 'vascular mania' diagnosis suggested utilizing not only the presence of strokes, but also confluent hyperintensities in its diagnostic criteria. This study was conducted to use meta-analytic techniques to investigate the association of hyperintensities and bipolar illness and to evaluate the current state of the literature.

methodsUsing the PubMed and MEDLINE databases, we conducted a systematic literature search of studies investigating hyperintensities in subjects with bipolar disorder and controls or other psychiatric illnesses. We identified 44 publications from which 35 studies were included for review and 27 were selected for meta-analysis. Summary statistics of the prevalence were estimated through odds-ratios and confidence interval. Heterogeneity of the results across studies was tested using Q-statistics.

resultsMeta-analysis identified an odds ratio of 2.5 (95% CI 1.9, 3.3) for hyperintensities in bipolar subjects compared to controls; however, there was significant heterogeneity among the studies (Q-statistics = 32; p = 0.04). This finding was most prominent for adolescents and children where the odds ratio was 5.7 (95% CI 2.3, 13.7). Deep white matter hyperintensities (odd ratio 3.2; 95% CI 2.2, 4.5) and subcortical grey matter hyperintensities (odds ratio 2.7; 95% CI 1.3, 2.9) were more strongly associated with bipolar subjects. There were no differences between bipolar subjects and controls for perivascular hyperintensities (odds ratio 1.3; 95% CI 0.8, 1.9). Though hyperintensities were numerically greater in bipolar subjects, meta-analysis did not demonstrate any significant differences between bipolar subjects and unipolar depression subjects (OR 1.6; 95% CI 0.9, 2.7) nor subjects with schizophrenia (OR 1.5; 95% CI 0.9, 2.7).

conclusionsThis meta-analysis continues to support the association of bipolar disorder and hyperintensities, especially in the deep white matter and subcortical grey matter. It also highlights the increased incidence in children and adolescence with bipolar disorder. However, hyperintensities are not specific to bipolar disorder, but appear at similar rates in unipolar depression and schizophrenia. Thus, the role of hyperintensities in the pathogenesis, pathophysiology, and treatment of bipolar disorder remains unclear. Further studies are required that are large enough to decrease the heterogeneity of the samples and MRI techniques, assess size and location of hyperintensities, and the impact on treatment response. Coordination with newer imaging techniques, such as diffusion tensor imaging (DTI) may be especially helpful in understanding the pathology of these lesions.

Indexed as

Image Processing, Computer-AssistedMagnetic Resonance ImagingAdolescentAdultBipolar DisorderBrainBrain MappingCerebral CortexCerebral VentriclesChildHumansNerve Fibers, MyelinatedSensitivity and Specificity

Identifiers

PMID20374153
PMCPMC4098150
OpenAlexW2032266474

What OpenQuestion 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 OpenQuestion graph.