Evidence map›Paper›PMID 33243163›Full record

ArticleBMC nephrology2020

Abnormal rich club organization in end-stage renal disease patients before dialysis initiation and undergoing maintenance hemodialysis.

Shaohui Ma, Ming Zhang, Yang Liu, Dun Ding, Peng Li, Xueying Ma, Hongjuan Liu, Junya Mu

Abstract read
In one paragraph

Article in BMC nephrology, 2020. 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
–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

3 citing papers in PubMed.

  1. 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

8 authors.

Shaohui MaDepartment of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, No. 277, West Yanta Road, Xi'an, 710061, Shaanxi-Province, People's Republic of China.
Ming ZhangDepartment of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, No. 277, West Yanta Road, Xi'an, 710061, Shaanxi-Province, People's Republic of China.
Yang LiuCenter for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, 710126, People's Republic of China.
Dun DingDepartment of Medical Imaging, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, People's Republic of China.
Peng LiDepartment of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, No. 277, West Yanta Road, Xi'an, 710061, Shaanxi-Province, People's Republic of China.
Xueying MaThe Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010000, People's Republic of China.
Hongjuan LiuDepartment of Medical Imaging, First Affiliated Hospital of Xi'an Jiaotong University, No. 277, West Yanta Road, Xi'an, 710061, Shaanxi-Province, People's Republic of China. liuhj423@163.com.
Junya MuCenter for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, 710126, People's Republic of China. jymu@xidian.edu.cn.ORCID 0000-0001-8205-9732

Funding

National Natural Science Foundation of China 81871330, 81871331National Natural Science Foundation of China 81901821
6 · The paper itself

Abstract

backgroundEnd-stage renal disease (ESRD) patients are at a substantially higher risk for developing cognitive impairment compared with the healthy population. Dialysis is an essential way to maintain the life of ESRD patients. Based on previous research, there isn't an uncontested result whether cognition was improved or worsened during dialysis.

methodsTo explore the impact of dialysis treatment on cognitive performance, we recruited healthy controls (HCs), predialysis ESRD patients (predialysis group), and maintenance hemodialysis ESRD patients (HD group). All ESRD patients performed six blood biochemistry tests (hemoglobin, urea, cystatin C, Na+, K+, and parathyroid hormone). Neuropsychological tests were used to measure cognitive function. By using diffusion tensor imaging and graph-theory approaches, the topological organization of the whole-brain structural network was investigated. Generalized linear models (GLMs) were performed to investigate blood biochemistry predictors of the neuropsychological tests and the results of graph analyses in the HD group and predialysis group.

resultsNeuropsychological analysis showed the HD group exhibited better cognitive function than the predialysis group, but both were worse than HCs. Whole-brain graph analyses revealed that increased global efficiency and normalized shortest path length remained in the predialysis group and HD group than the HCs. Besides, a lower normalized clustering coefficient was found in the predialysis group relative to the HCs and HD group. For the GLM analysis, only the Cystatin C level was significantly associated with the average fiber length of rich club connections in the predialysis group.

conclusionsOur study revealed that dialysis had a limited effect on cognitive improvement.

Indexed as

CognitionRenal DialysisBlood Chemical AnalysisBrainCase-Control StudiesCognitive DysfunctionConnectomeCystatin CDiffusion Tensor ImagingHealthy VolunteersHumansKidney Failure, ChronicLinear ModelsMemoryNeural PathwaysNeuropsychological TestsCystatin CCystatin CDialysis initiationEnd-stage renal diseaseGraph analyses

Identifiers

PMID33243163
PMCPMC7689979

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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.