Evidence map›Paper›PMID 32944208›Full record

ArticleTherapeutic advances in chronic disease2020

Carotid intima-media thickness relative to cognitive impairment in dialysis patients, and their relationship with brain volume and cerebral small vessel disease.

Ke Zheng, Yujun Qian, Tiaye Lin, Fei Han, Hui You, Xixi Tao, Bo Hou, Jing Yuan, Haiyun Wang, Dingding Zhang and 4 more

Open access · goldAbstract read
In one paragraph

Article in Therapeutic advances in chronic disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
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

14 authors at 1 institution in 1 country.

Ke ZhengDepartment of Nephrology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0002-4624-0881
Yujun QianDepartment of Nephrology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Tiaye LinDepartment of Radiology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Fei HanDepartment of Neurology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Hui YouDepartment of Radiology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xixi TaoDepartment of Diagnostic Ultrasound, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Bo HouDepartment of Radiology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jing YuanDepartment of Neurology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Haiyun WangDepartment of Nephrology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Dingding ZhangCentral Research Laboratory, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Ke LvDepartment of Diagnostic Ultrasound, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Feng FengDepartment of Radiology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yicheng ZhuDepartment of Neurology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xuemei LiDepartment of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan, Dongcheng District, Dongcheng-qu, Beijing 100730, China.ORCID https://orcid.org/0000-0002-5966-6240
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCarotid intima-media thickness (cIMT) is considered a risk factor for and predictor of cerebrovascular disease. In this study, we explored the contribution of cIMT to cognitive impairment (CI) in dialysis patients and the role of cerebral small vascular disease (CSVD) and brain atrophy in this process.

methodsCognitive function was assessed using a comprehensive cognitive test battery. CSVD and brain volume were assessed by magnetic resonance imaging, and cIMT was measured by ultrasonography. Multivariable analysis and mediation were used to explore the relevant relationships among cIMT, CI, CSVD and brain volume.

resultsSeventy-three dialysis patients were enrolled. Approximately 54.8% were diagnosed with increased cIMT. The increased cIMT group was older and had lower serum albumin and creatinine levels than the normal cIMT group. There was no difference in the CSVD prevalence between the different cIMT groups. Patients in the normal, unilaterally and bilaterally increased cIMT subgroups demonstrated a gradual decrease in brain-matter volume and degenerate cognitive function. cIMT was related to cognitive function and gray-/white-matter volume. Increased cIMT was associated with a significantly increased risk of a reduced Mini Mental State Examination/Montreal Cognitive Assessment score and Trail A/B time delay. Mediation analysis showed that CI was mediated by brain-matter volume but not by CSVD.

conclusionIncreased cIMT was an independent risk factor for impairment of global cognitive function, memory, and executive function. The impact of cIMT on cognition was not induced by CSVD but by brain atrophy. cIMT may be a useful tool for screening patients at high risk of CI in the dialysis population.

Indexed as

carotid intima–media thicknesscerebral small vessel diseasescognitiondialysisgray matterwhite matter

Identifiers

PMID32944208
PMCPMC7466901
OpenAlexW3082578667

What OpenQuestion holds

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LicenceCC BY-NC
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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.