Evidence map›Paper›PMID 38839650›Full record

ArticleAbdominal radiology (New York)2024

Renal fat deposition measured on dixon-based MRI is significantly associated with early kidney damage in obesity.

Huali Tang, Lianghua Xie, Liu Liu, Yan Shen, Ping Yang, Jiamei Wu, Xiaofang Zhao, Yi Li, Zhihong Wang, Yun Mao

Abstract read
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Article in Abdominal radiology (New York), 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
–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

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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

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Huali Tang *Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, China.
Lianghua Xie *Department of Radiology, Affiliated Hospital of Guilin Medical University, No.15 Lequn Road, Guilin Guangxi, China.
Liu Liu *Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, China.
Yan Shen *Chongqing Three Gorges Medical College, Chongqing, China.
Ping YangDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, China.
Jiamei WuDepartment of Radiology, Chongqing Dongnan Hospital, No.98 Tongjiang Avenue, Chayuan New District, Nan'an District, Chongqing, China.
Xiaofang ZhaoDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, China.
Yi LiDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, China.
Zhihong WangDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, China.
Yun MaoDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, China. maoyun1979@163.com.ORCID 0000-0002-3326-4729

Funding

Chinese Foundation for International Medical Exchange Z-2017-26-1902-2the Chongqing Science and Health Joint Medical Research Project 2020FYYX141the Chongqing Yong and Middle-aged Senior Medical Talents Studio ZQNYXGDRCGZS2021001
6 · The paper itself

Abstract

purposeTo investigate the renal fat deposition on Dixon-based magnetic resonance imaging (MRI) and to explore the predictive value of renal fat biomarkers of magnetic resonance (MR-RFBs) for early kidney damage in obesity.

methodsThis prospective study included 56 obese volunteers and 47 non-obese healthy volunteers. All volunteers underwent renal magnetic resonance examinations. The differences in MR-RFBs [including renal proton density fat fraction (PDFF), renal sinus fat volume (RSFV), and perirenal fat thickness (PRFT)] measured on Dixon-based MRI between the obese and non-obese volunteers were analyzed using a general linear model, taking sex, age, diabetes, and hypertension as covariates. The relationship between estimated glomerular filtration rate (eGFR) and demographic, laboratory, and imaging parameters in obese volunteers was examined by correlation analysis.

resultsObese volunteers had higher MR-RFBs than non-obese volunteers after controlling for confounders (all p < 0.001). Renal PDFF (r = - 0.383; p = 0.004), RSFV (r = - 0.368; p = 0.005), and PRFT (r = - 0.451; p < 0.001) were significantly negatively correlated with eGFR in obesity. After adjusting for age, sex, body mass index, diabetes, hypertension, visceral adipose tissue, subcutaneous adipose tissue, renal PDFF, and RSFV, PRFT remained independently negatively associated with eGFR (β = - 0.587; p = 0.003).

conclusionsAll MR-RFBs are negatively correlated with eGFR in obesity. The MR-RFBs, especially PRFT, may have predictive value for early kidney damage in obesity.

Indexed as

Magnetic Resonance ImagingObesityAdipose TissueAdultFemaleGlomerular Filtration RateHumansKidneyKidney DiseasesMaleMiddle AgedProspective StudiesChronic kidney diseaseDixonMagnetic resonance imagingObesityRenal fat deposition

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Registered trials

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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.