Evidence mapPaperPMID 39781476Full record

ArticleClinical kidney journal2025

Cerebral white matter damage in patients with end-stage kidney disease associates with cognitive impairment.

Yi-Chou Hou, Chih-Chien Tsai, Ruei-Ming Chen, Yi-Chien Liu, Kuo-Cheng Lu, Yao-Liang Chen, Ting-Wen Shen, Jiun-Jie Wang

Abstract read
In one paragraph

Article in Clinical kidney journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 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.

Yi-Chou HouDepartment of Internal Medicine, Cardinal Tien Hospital, New Taipei City, Taiwan.
Chih-Chien TsaiHealthy Aging Research Center, Chang Gung University, Taoyuan City, Taiwan.
Ruei-Ming ChenTMU Research Center of Cancer Translational Medicine, Graduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei City, Taiwan.
Yi-Chien LiuSchool of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan.
Kuo-Cheng LuDepartment of Nephrology, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, Taiwan.
Yao-Liang ChenDepartment of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan City, Taiwan.
Ting-Wen ShenDepartment of Medical Imaging and Intervention, New Taipei Municipal TuCheng Hospital, Chang Gung Medical Foundation, New Taipei City, Taiwan.
Jiun-Jie WangHealthy Aging Research Center, Chang Gung University, Taoyuan City, Taiwan.ORCID https://orcid.org/0000-0002-2422-9059

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Damage to brain white matter often occurs in individuals with chronic kidney disease, which might be related to their cognitive decline. This study aims to investigate tract-specific white matter damage in patients with end-stage kidney disease by using fixel-based analysis. Methods: Images of 31 end-stage kidney disease patients and 16 normal controls (aged: 61.1 ± 10.4 years; 11 men) were acquired from a 1.5T magnetic resonance scanner. The patients were subsequently divided into with normal cognition ( Results: Reduced fixel-based metrics were observed in specific tract located the cerebral peduncle, internal capsule, corpus callosum, fornix and superior corona radiata in patients when compared with normal controls, indicating a reduction in fiber content. The fibers crossing the corpus callosum and the fornix/stria terminalis are particularly vulnerable sites, which can be associated with the decrease in both Mini-Mental State Examination (R Conclusions: Tract-specific white matter damage can be noticed in the patients with end-stage kidney disease, and could be associated with their cognitive decline.

Indexed as

cognitive impairmentcorpus callosumend-stage kidney diseasefixel-based analysisleukoarariosis

Identifiers

PMID39781476
PMCPMC11704783

What Socratic holds

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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 Socratic graph.