Evidence map›Paper›PMID 35000065›Full record

ArticleBrain imaging and behavior2022

Fiber connectivity density mapping in end-stage renal disease patients: a preliminary study.

Chi Ma, Xinghai Jiang, Yande Ren, Gaojie Gu, Airong Fu, Chengjian Wang, Peirui Bai, Tong Zhou, Shanshan Qin, Shengli Fu

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In one paragraph

Article in Brain imaging and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Chi MaDepartment of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Xinghai JiangCenter for Disease Control and Prevention, West Coast New District, Qingdao, Shandong, China.
Yande RenDepartment of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China. 8198458@163.com.ORCID http://orcid.org/0000-0002-8737-3461
Gaojie GuCollege of Electronic Information Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China.
Airong FuDepartment of Cardiovascular Medicine, West Coast New District Central Hospital, Qingdao, Shangdong, China.
Chengjian WangDepartment of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Peirui BaiCollege of Electronic Information Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China.
Tong ZhouDepartment of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Shanshan QinDepartment of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Shengli FuDepartment of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Qingdao University · CNShandong University of Science and Technology · CNQingdao Municipal Center for Disease Control and Prevention · CN

Funding

Medical and Health Science and Technology Development Program of Shandong Province 2016WS0285
6 · The paper itself

Abstract

Abnormal brain structural connectivity of end-stage renal disease(ESRD) is associated with cognitive impairment. However, the characteristics of cortical structural connectivity have not been investigated in ESRD patients. Here, we study structural connectivity of the entire cerebral cortex using a fiber connectivity density(FiCD) mapping method derived from diffusion tensor imaging(DTI) data of 25 ESRD patients and 20 healthy controls, and between-group differences were compared in a vertexwise manner. We also investigated the associations between these abnormal cortical connectivities and the clinical variables using Pearson correlation analysis and multifactor linear regression analysis. Our results demonstrated that the mean global FiCD value was significantly decreased in ESRD patients. Notably, FiCD values were significantly changed(decreased or increased) in certain cortical regions, which mainly involved the bilateral dorsolateral prefrontal cortex(DLPFC), inferior parietal cortex, lateral temporal cortex and middle occipital cortex. In ESRD patients, we found a trend of negative correlation between the increased FiCD values of bilateral middle frontal gyrus and serum creatinine, urea, parathyroid hormone(PTH) levels and dialysis duration. Only the white matter hyperintensity(WMH) scores were significantly negatively correlated with the global FiCD value in multifactor regression analysis. Our results suggested that ESRD patients exhibited extensive impaired cortical structural connectivity, which was related to the severity of WMHs. A compensation mechanism of cortical structural recombination may play a role in how the brain adapts to maintain optimal network function. Additionally, the serum creatinine, urea and PTH levels may be risk factors for brain structural network decompensation in ESRD patients.

Indexed as

Diffusion Tensor ImagingKidney Failure, ChronicBrainBrain MappingCreatinineFemaleHumansMagnetic Resonance ImagingMaleUreaCreatinineUreaCognitive impairmentDiffusion tensor imagingEnd-stage renal diseaseFiber connectivity mapStructural connectivity

Identifiers

PMID35000065
OpenAlexW4225636498

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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.