Evidence map›Paper›PMID 26425699›Full record

Trial reportEBioMedicine2015

A Multi-Dimensional and Integrative Approach to Examining the High-Risk and Ultra-High-Risk Stages of Bipolar Disorder.

Kangguang Lin, Guiyun Xu, Nichol M L Wong, Huawang Wu, Ting Li, Weicong Lu, Kun Chen, Xiaodong Chen, Bingyin Lai, Liuxia Zhong and 2 more

Abstract readClinical TrialComparative Study
In one paragraph

Trial report in EBioMedicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 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

13 citing papers in PubMed, 2 syntheses or guidelines 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

12 authors.

Kangguang LinLaboratory of Neuropsychology, The University of Hong Kong, Hong Kong ; Department of Affective Disorders, Guangzhou Brain Hospital, Affiliated Hospital of Guangzhou Medical University, Guangzhou, China ; Laboratory of Emotion and Cognition, Guangzhou Brain Hospital, Affiliated Hospital of Guangzhou Medical University, Guangzhou, China ; Laboratory of Cognitive Affective Neuroscience, The University of Hong Kong, Hong Kong.
Guiyun XuDepartment of Affective Disorders, Guangzhou Brain Hospital, Affiliated Hospital of Guangzhou Medical University, Guangzhou, China ; Laboratory of Emotion and Cognition, Guangzhou Brain Hospital, Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Nichol M L WongLaboratory of Neuropsychology, The University of Hong Kong, Hong Kong ; Laboratory of Cognitive Affective Neuroscience, The University of Hong Kong, Hong Kong.
Huawang WuDepartment of Radiology, Guangzhou Brain Hospital, Affiliated Hospital of Guangzhou Medical University, China.
Ting LiDepartment of Affective Disorders, Guangzhou Brain Hospital, Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Weicong LuDepartment of Affective Disorders, Guangzhou Brain Hospital, Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Kun ChenDepartment of Affective Disorders, Guangzhou Brain Hospital, Affiliated Hospital of Guangzhou Medical University, Guangzhou, China ; Laboratory of Emotion and Cognition, Guangzhou Brain Hospital, Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Xiaodong ChenDepartment of Affective Disorders, Guangzhou Brain Hospital, Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Bingyin LaiDepartment of Affective Disorders, Guangzhou Brain Hospital, Affiliated Hospital of Guangzhou Medical University, Guangzhou, China ; Laboratory of Emotion and Cognition, Guangzhou Brain Hospital, Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Liuxia ZhongDepartment of Affective Disorders, Guangzhou Brain Hospital, Affiliated Hospital of Guangzhou Medical University, Guangzhou, China ; Laboratory of Emotion and Cognition, Guangzhou Brain Hospital, Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Kwok-Fai SoState Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong ; GMH Institute of CNS Regeneration, Jinan University, Guangzhou, China ; Department of Ophthalmology, The University of Hong Kong, Hong Kong.
Tatia M C LeeLaboratory of Neuropsychology, The University of Hong Kong, Hong Kong ; Laboratory of Cognitive Affective Neuroscience, The University of Hong Kong, Hong Kong ; State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong ; Institute of Clinical Neuropsychology, The University of Hong Kong, Hong Kong.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundValidating the high-risk (HR) and ultra-high-risk (UHR) stages of bipolar disorder (BP) may help enable early intervention strategies.

methodsWe followed up with 44 offspring of parents with BP, subdividing into the HR and UHR categories. The offspring were aged 8-28 years and were free of any current DSM-IV diagnoses. Our multilevel, integrative approach encompassed gray matter (GM) volumes, brain network connectivity, neuropsychological performance, and clinical outcomes.

findingsCompared with the healthy controls (HCs) (n = 33), the HR offspring (n = 26) showed GM volume reductions in the right orbitofrontal cortex. Compared with the HR offspring, the UHR offspring (n = 18) exhibited increased GM volumes in four regions. Both the HR and UHR offspring displayed abnormalities in the inferior occipital cortex regarding the measures of degree and centrality, reflecting the connections and roles of the region, respectively. In the UHR versus the HR offspring, the UHR offspring exhibited upwards-shifted small world topologies that reflect high clustering and efficiency in the brain networks. Compared with the HCs, the UHR offspring had significantly lower assortativity, which was suggestive of vulnerability. Finally, processing speed, visual-spatial, and general function were impaired in the UHR offspring but not in the HR offspring.

interpretationThe abnormalities observed in the HR offspring appear to be inherited, whereas those associated with the UHR offspring represent stage-specific changes predisposing them to developing the disorder.

Indexed as

Bipolar DisorderChild of Impaired ParentsGray MatterNerve NetAdolescentAdultChildFemaleFollow-Up StudiesHumansMaleRisk FactorsAffective disorderBipolar disorderCognitionHigh-risk designNetwork analysisNeuroimagingUltra-high-risk

Identifiers

PMID26425699
PMCPMC4563124

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.