Evidence map›Paper›PMID 40046921›Full record

ArticleFrontiers in medicine2025

Utility of the combination of IVIM-DWI MRI and baseline eGFR for identifying a high risk of chronic kidney disease progression.

Yazhen Yu, Wei Zhang, Lina Zhu, Han Zhou, Shaoshan Liang, Longjiang Zhang, Zhihong Liu, Jiong Zhang

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yazhen Yu *National Clinical Research Center of Kidney Disease, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, China.
Wei Zhang *Department of Radiology, Jinling Hospital, Nanjing Medical University, Nanjing, China.
Lina ZhuNational Clinical Research Center of Kidney Disease, The Affiliated Jinling Hospital of Nanjing Medical University, Nanjing, China.
Han ZhouNational Clinical Research Center of Kidney Disease, The Affiliated Jinling Hospital of Nanjing Medical University, Nanjing, China.
Shaoshan LiangNational Clinical Research Center of Kidney Disease, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, China.
Longjiang ZhangDepartment of Radiology, Jinling Hospital, Nanjing Medical University, Nanjing, China.
Zhihong LiuNational Clinical Research Center of Kidney Disease, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, China.
Jiong ZhangNational Clinical Research Center of Kidney Disease, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Currently, the baseline estimated glomerular filtration rate (eGFR), the urine albumin level and renal fibrosis are the common risk and prognostic factors for chronic kidney disease (CKD). Intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) is a proven noninvasive tool for assessing renal fibrosis. The aim of this study was to evaluate whether IVIM-DWI could be used to identify high-risk patients with CKD during long-term follow-up. Methods: In this exploratory study, 62 CKD patients who were followed for 5 years and who underwent renal biopsy and IVIM-DWI magnetic resonance imaging (MRI) at the National Clinical Research Center of Kidney Disease in China were enrolled. We recorded baseline data, including clinical, pathology and MRI parameters, and evaluated the associations between baseline parameters and renal outcomes. The value of DWI parameters in predicting end-stage kidney disease (ESKD) was compared with that of clinical and pathological data. Results: The mean baseline eGFR was 78.1 ± 28.05 ml/min/1.73 m Conclusion: The combination of baseline eGFR and IVIM-DWI outperforms pathological factors alone in the diagnosis of long-term kidney dysfunction. This study indicated that IVIM-DWI could be a promising tool for identifying patients at high risk of CKD progression.

Indexed as

chronic kidney diseasediffusion-weighted imagingintravoxel incoherent motionpathologyprognosis

Identifiers

PMID40046921
PMCPMC11880002

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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.