Evidence map›Paper›PMID 38133740›Full record

ArticleJournal of nephrology2024

Kidney and liver fat accumulation: from imaging to clinical consequences.

Abdullah B Yıldız, Sezan Vehbi, Sidar Copur, Bengi Gurses, Dimitrie Siriopol, Bahar Afak Durur Karakaya, Nuri B Hasbal, Bahar Tekin, Murat Akyıldız, Daniel H van Raalte and 2 more

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Article in Journal of nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 5 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

12 authors at 4 institutions in 4 countries.

Abdullah B YıldızDepartment of Medicine, Koc University School of Medicine, Istanbul, Turkey.
Sezan VehbiDepartment of Medicine, Koc University School of Medicine, Istanbul, Turkey.
Sidar CopurDepartment of Medicine, Koc University School of Medicine, Istanbul, Turkey.
Bengi GursesDepartment of Radiology, Koc University School of Medicine, Istanbul, Turkey.
Dimitrie SiriopolDepartment of Nephrology, "Saint John the New" County Hospital, "Stefan Cel Mare" University of Suceava, Suceava, Romania.
Bahar Afak Durur KarakayaDepartment of Radiology, Koc University School of Medicine, Istanbul, Turkey.
Nuri B HasbalDivision of Nephrology, Department of Medicine, Koc University School of Medicine, 34010, Istanbul, Turkey.
Bahar TekinDepartment of Medicine, Koc University School of Medicine, Istanbul, Turkey.
Murat AkyıldızDivision of Gastroenterology, Department of Medicine, Koc University School of Medicine, Istanbul, Turkey.
Daniel H van RaalteDiabetes Center, Department of Internal Medicine, Amsterdam University Medical Centers, Location VUMC, Amsterdam, The Netherlands.
Mario CozzolinoRenal Division, Department of Health Sciences, University of Milan, Milan, Italy.
Mehmet KanbayDivision of Nephrology, Department of Medicine, Koc University School of Medicine, 34010, Istanbul, Turkey. drkanbay@yahoo.com.ORCID 0000-0002-1297-0675
Koç University · TRAmsterdam University Medical Centers · NLŞtefan cel Mare University of Suceava · ROUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent studies indicate that accumulation of adipose tissue in various organs such as liver and kidney may contribute to the pathophysiology of metabolic syndrome. We aim to investigate the association between kidney and liver adipose tissue accumulation, assessed by the magnetic resonance imaging (MRI) proton density fat fraction technique, along with its relation to clinical and biochemical parameters.

methodsWe included 51 volunteers with phenotypical features of metabolic syndrome (mean age = 34 years, mean body-mass index = 26.4 kg/m

resultsOur results from the univariate linear regression analysis indicate that both the kidney and liver scores were positively correlated with markers such as BMI, urine albumin-to-creatinine ratio, triglycerides (p < 0.001) and negatively correlated with eGFR (p < 0.05). In multivariate analysis, urine albumin-to-creatinine ratio (p < 0.05), triglycerides (p < 0.01), eGFR (p < 0.05) and BMI (p < 0.001) were found to be independently associated with kidney and liver fat accumulation, respectively (R

conclusionWe have found a significant association between adipose tissue accumulation in liver and kidney and the parameters of metabolic syndrome. Moreover, the presence of a strong association between kidney and liver fat accumulation and kidney function parameters such as urine albumin-to-creatinine ratio and eGFR may be an indicator of the clinical significance of parenchymal fat accumulation.

Indexed as

Glomerular Filtration RateKidneyLiverMagnetic Resonance ImagingMetabolic SyndromeAdipose TissueAdiposityAdultAlbuminuriaBody Mass IndexCreatinineFatty LiverFemaleHumansMaleMiddle AgedCreatinineKidney fatLiver steatosisMetabolic syndromeMRI-PDFFUrine albumin-to-creatinine ratio

Identifiers

PMID38133740
OpenAlexW4390108332

What OpenQuestion holds

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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 OpenQuestion graph.