Evidence map›Paper›PMID 35592851›Full record

SynthesisFrontiers in medicine2022

Association Between White Matter Hyperintensities and Chronic Kidney Disease: A Systematic Review and Meta-Analysis.

Cun-Sheng Wei, Cai-Yun Yan, Xiao-Rong Yu, Lin Wang, Rui Zhang, Jun-Ying Jiang, Qi Dai, Jun-Rong Li, Xue Mei Chen

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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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 2 institutions in 1 country.

Cun-Sheng WeiDepartment of Neurology, The Affiliated Jiangning Hospital With Nanjing Medical University, Nanjing, China.
Cai-Yun YanDepartment of Oncology, The Affiliated Sir Run Run Hospital of Nanjing Medical University, Nanjing, China.
Xiao-Rong YuDepartment of Neurology, The Affiliated Jiangning Hospital With Nanjing Medical University, Nanjing, China.
Lin WangDepartment of Neurology, The Affiliated Jiangning Hospital With Nanjing Medical University, Nanjing, China.
Rui ZhangDepartment of Neurology, The Affiliated Jiangning Hospital With Nanjing Medical University, Nanjing, China.
Jun-Ying JiangDepartment of Neurology, The Affiliated Jiangning Hospital With Nanjing Medical University, Nanjing, China.
Qi DaiDepartment of Neurology, The Affiliated Jiangning Hospital With Nanjing Medical University, Nanjing, China.
Jun-Rong LiDepartment of Neurology, The Affiliated Jiangning Hospital With Nanjing Medical University, Nanjing, China.
Xue Mei ChenDepartment of Neurology, The Affiliated Jiangning Hospital With Nanjing Medical University, Nanjing, China.
Nanjing Jiangning Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Previous studies of the associations between white matter hyperintensities (WMH) and chronic kidney disease (CKD) were still conflicting; therefore, our study aimed to conduct a systematic review of all of the available research on this topic and a meta-analysis of the association between WMH and CKD among observational studies. Setting and Design: Systematic review and meta-analysis. Outcome Measures: Severity of WMH. Methods and Participants: All relevant studies in public databases were examined until 15 November 2020. Two independent reviewers assessed all the included studies using the Cross-Sectional/Prevalence Study Quality (CSSQ) scale, and then literature review and meta-analyses were undertaken. Results: We pooled the odds ratio (OR) for the presence of WMH, periventricular hyperintensities (PVH), and deep subcortical white matter hyperintensities (DWMH) of patients with CKD vs. non-CKD patients by subgroup analysis, and the results obtained were WMH OR 2.07, 95% CI [1.58, 2.70], PVH OR 2.41, 95% CI [1.90, 3.05], and DWMH OR 2.11, 95% CI [1.60, 2.80], respectively. The main outcome showed that patients with CKD were more likely to have WMH in the brain compared to the normal controls. Another meta-analysis showed a statistically significant decline in renal function in patients with moderate to severe WMH compared with those with no to mild WMH. Conclusions: The findings indicated that patients with CKD were more likely to experience WMH than demographically matched controls. On the other hand, patients with moderate to severe WMH in the brain had poor renal function more frequently than those with no to mild WMH.

Indexed as

cerebral small vessel diseasechronic kidney diseasemeta-analysissystematic reviewwhite matter hyperintensities

Identifiers

PMID35592851
PMCPMC9112853
OpenAlexW4225323116

What OpenQuestion holds

Textmetadata
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.