Evidence map›Paper›PMID 25251476›Full record

ArticlePloS one2014

Assessing regional cerebral blood flow in depression using 320-slice computed tomography.

Yiming Wang, Hongming Zhang, Songlin Tang, Xingde Liu, Adrienne O'Neil, Alyna Turner, Fangxian Chai, Fanying Chen, Michael Berk

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

21 citing papers in PubMed, 34 citations in OpenAlex.

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  17. Regional Cerebral Blood Flow inFrontiers in psychiatry · 2018
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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

9 authors at 5 institutions in 2 countries.

Yiming WangDepartment of Psychiatry, Hospital Affiliated to Guiyang Medical University, Guiyang, Guizhou, China.
Hongming ZhangDepartment of Cardiology, The General Hospital of Jinan Military Region, Jinan, China.
Songlin TangDepartment of Psychiatry, Hospital Affiliated to Guiyang Medical University, Guiyang, Guizhou, China; Department of Neurology, First People's Hospital of Shaoyang, Shaoyang, Hunan, China.
Xingde LiuDepartment of Cardiology, Hospital Affiliated to Guiyang Medical University, Guiyang City, Guizhou, China.
Adrienne O'NeilIMPACT Strategic Research Centre, School of Medicine, Deakin University, Geelong, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Alyna TurnerIMPACT Strategic Research Centre, School of Medicine, Deakin University, Geelong, Australia; Department of Psychiatry, The University of Melbourne, Parkville, Victoria, Australia; School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia.
Fangxian ChaiDepartment of Psychiatry, Hospital Affiliated to Guiyang Medical University, Guiyang, Guizhou, China.
Fanying ChenMental Health Education And Counseling Center, Guiyang Medical University, Guiyang City, Guizhou, China.
Michael BerkIMPACT Strategic Research Centre, School of Medicine, Deakin University, Geelong, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; Department of Psychiatry, The University of Melbourne, Parkville, Victoria, Australia; Department of Psychiatry, Orygen Youth Health Research Centre, The University of Melbourne, Parkville, Victoria, Australia; Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia.
Guiyang Medical University · CNDeakin University · AUFlorey Institute of Neuroscience and Mental Health · AUJinan Military General Hospital · CNMonash University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While there is evidence that the development and course of major depressive disorder (MDD) symptomatology is associated with vascular disease, and that there are changes in energy utilization in the disorder, the extent to which cerebral blood flow is changed in this condition is not clear. This study utilized a novel imaging technique previously used in coronary and stroke patients, 320-slice Computed-Tomography (CT), to assess regional cerebral blood flow (rCBF) in those with MDD and examine the pattern of regional cerebral perfusion. Thirty nine participants with depressive symptoms (Hamilton Depression Rating Scale 24 (HAMD24) score > 20, and Self-Rating Depression Scale (SDS) score > 53) and 41 healthy volunteers were studied. For all subjects, 3 ml of venous blood was collected to assess hematological parameters. Transcranial Doppler (TCD) ultrasound was utilized to measure parameters of cerebral artery rCBFV and analyse the Pulsatility Index (PI). 16 subjects (8 =  MDD; 8 =  healthy) also had rCBF measured in different cerebral artery regions using 320-slice CT. Differences among groups were analyzed using ANOVA and Pearson's tests were employed in our statistical analyses. Compared with the control group, whole blood viscosity (including high\middle\low shear rate)and hematocrit (HCT) were significantly increased in the MDD group. PI values in different cerebral artery regions and parameters of rCBFV in the cerebral arteries were decreased in depressive participants, and there was a positive relationship between rCBFV and the corresponding vascular rCBF in both gray and white matter. rCBF of the left gray matter was lower than that of the right in MDD. Major depression is characterized by a wide range of CBF impairments and prominent changes in gray matter blood flow. 320-slice CT appears to be a valid and promising tool for measuring rCBF, and could thus be employed in psychiatric settings for biomarker and treatment response purposes.

Indexed as

AdolescentAdultBlood ViscosityCerebral CortexCerebrovascular CirculationFemaleGray MatterHematocritHumansLinear ModelsMajor Depressive DisorderMaleMiddle AgedMultidetector Computed TomographyPsychiatric Status Rating ScalesRegional Blood Flow

Identifiers

PMID25251476
PMCPMC4175469
OpenAlexW2050980175

What OpenQuestion holds

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LicenceCC BY
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.