Evidence map›Paper›PMID 38570748›Full record

ArticleBMC medical imaging2024

Renal interstitial fibrotic assessment using non-Gaussian diffusion kurtosis imaging in a rat model of hyperuricemia.

Ping-Kang Chen, Zhong-Yuan Cheng, Ya-Lin Wang, Bao-Jun Xu, Zong-Chao Yu, Zhao-Xia Li, Shang-Ao Gong, Feng-Tao Zhang, Long Qian, Wei Cui and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical imaging, 2024. 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
1.6field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

12 authors at 3 institutions in 1 country.

Ping-Kang Chen *Medical Imaging Center, The First Affiliated Hospital of Jinan University, No.613 West Huangpu Avenue, Tianhe District, Guangzhou, Guangdong, 510630, China.
Zhong-Yuan Cheng *Medical Imaging Center, The First Affiliated Hospital of Jinan University, No.613 West Huangpu Avenue, Tianhe District, Guangzhou, Guangdong, 510630, China.
Ya-Lin WangMedical Imaging Center, The First Affiliated Hospital of Jinan University, No.613 West Huangpu Avenue, Tianhe District, Guangzhou, Guangdong, 510630, China.
Bao-Jun XuMedical Imaging Center, The First Affiliated Hospital of Jinan University, No.613 West Huangpu Avenue, Tianhe District, Guangzhou, Guangdong, 510630, China.
Zong-Chao YuNephrology department, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
Zhao-Xia LiDepartment of Rheumatology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
Shang-Ao GongMedical Imaging Center, The First Affiliated Hospital of Jinan University, No.613 West Huangpu Avenue, Tianhe District, Guangzhou, Guangdong, 510630, China.
Feng-Tao ZhangIntervention department, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, Guangdong, China.
Long QianDepartment of Biomedical Engineering, College of Engineering, Peking University, Beijing, China.
Wei CuiMRI Research, GE Healthcare, Beijing, China.
You-Zhen FengMedical Imaging Center, The First Affiliated Hospital of Jinan University, No.613 West Huangpu Avenue, Tianhe District, Guangzhou, Guangdong, 510630, China. fengyouzhen@jnu.edu.cn.
Xiang-Ran CaiMedical Imaging Center, The First Affiliated Hospital of Jinan University, No.613 West Huangpu Avenue, Tianhe District, Guangzhou, Guangdong, 510630, China. caixran@jnu.edu.cn.
First Affiliated Hospital of Jinan University · CNHuazhong University of Science and Technology · CNPeking University · CN

Funding

Administration of Traditional Chinese Medicine of Guangdong Province no. 20221110Administration of Traditional Chinese Medicine of Guangdong Province no. 20221113Administration of Traditional Chinese Medicine of Guangdong Province no. 20232025Fundamental Research Funds for the Central Universities no.21622311Medical Scientific Research Foundation of Guangdong Province no. A2022337National Natural Science Foundation of China no. 82202284Science and Technology Projects in Guangzhou no.202201011089Science and Technology Projects in Guangzhou no. 2023A04J1916
6 · The paper itself

Abstract

backgroundTo investigate the feasibility of Diffusion Kurtosis Imaging (DKI) in assessing renal interstitial fibrosis induced by hyperuricemia.

methodsA hyperuricemia rat model was established, and the rats were randomly split into the hyperuricemia (HUA), allopurinol (AP), and AP + empagliflozin (AP + EM) groups (n = 19 per group). Also, the normal rats were selected as controls (CON, n = 19). DKI was performed before treatment (baseline) and on days 1, 3, 5, 7, and 9 days after treatment. The DKI indicators, including mean kurtosis (MK), fractional anisotropy (FA), and mean diffusivity (MD) of the cortex (CO), outer stripe of the outer medulla (OS), and inner stripe of the outer medulla (IS) were acquired. Additionally, hematoxylin and eosin (H&E) staining, Masson trichrome staining, and nuclear factor kappa B (NF-κB) immunostaining were used to reveal renal histopathological changes at baseline, 1, 5, and 9 days after treatment.

resultsThe HUA, AP, and AP + EM group MK

conclusionDKI may be a non-invasive method for monitoring renal interstitial fibrosis induced by hyperuricemia.

Indexed as

HyperuricemiaAnimalsDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingFibrosisKidneyRatsDiffusion kurtosis imagingHyperuricemiaMagnetic resonance imagingRenal interstitial fibrosis

Identifiers

PMID38570748
PMCPMC10988851
OpenAlexW4393866844

What Socratic 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 Socratic graph.