Evidence map›Paper›PMID 37621645›Full record

ArticleFrontiers in endocrinology2023

Quantification of the renal sinus fat and exploration of its relationship with ectopic fat deposition in normal subjects using MRI fat fraction mapping.

Qin-He Zhang, Li-Hua Chen, Qi An, Peng Pi, Yi-Fan Dong, Ying Zhao, Nan Wang, Xin Fang, Ren-Wang Pu, Qing-Wei Song and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 12% 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, 9 citations in OpenAlex.

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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

13 authors at 3 institutions in 1 country.

Qin-He ZhangDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Li-Hua ChenDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Qi AnDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Peng PiDepartment of Medical Imaging, Dalian Medical University, Dalian, China.
Yi-Fan DongDepartment of Medical Imaging, Dalian Medical University, Dalian, China.
Ying ZhaoDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Nan WangDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Xin FangDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Ren-Wang PuDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Qing-Wei SongDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Liang-Jie LinClinical & Technical Solutions, Philips Healthcare, Beijing, China.
Jing-Hong LiuDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Ai-Lian LiuDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
First Affiliated Hospital of Dalian Medical University · CNDalian Medical University · CNPhilips (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To determine the renal sinus fat (RSF) volume and fat fraction (FF) in normal Chinese subjects using MRI fat fraction mapping and to explore their associations with age, gender, body mass index (BMI) and ectopic fat deposition. Methods: A total of 126 subjects were included in the analysis. RSF volume and FF, visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) area, and hepatic and pancreatic FFs were measured for each subject. The comparisons in gender were determined using two-tailed t-tests or the nonparametric Mann-Whitney U-test for normally or non-normally distributed data for continuous variables and the chi-square test for categorical variables. Comparisons of RFS volume and FF between right and left kidneys were determined using paired sample t-tests. Multivariable logistic models were performed to confirm whether RSF differences between men and women are independent of VAT or SAT area. When parameters were normally distributed, the Pearson correlation coefficient was used; otherwise, the Spearman correlation coefficient was applied. Results: The RSF volumes (cm Conclusion: The association between renal sinus fat and ectopic fat deposition explored in this study may help establish a consensus on the normal values of RSF volume and FF for the Chinese population. This will facilitate the identification of clinicopathological changes and aid in the investigation of whether RSF volume and FF can serve as early biomarkers for metabolic diseases and renal dysfunction in future studies.

Indexed as

Asian PeopleKidneyBody Mass IndexConsensusFemaleHumansMagnetic Resonance ImagingMalePancreatic HormonesSubcutaneous FatPancreatic Hormonesectopic fat depositionfat quantificationmagnetic resonance imagingobesityrenal sinus fat

Identifiers

PMID37621645
PMCPMC10446762
OpenAlexW4385704971

What OpenQuestion holds

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LicenceCC BY
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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.