Evidence map›Paper›PMID 38732633›Full record

ArticleNutrients2024

Obesity Is Associated with Fatty Liver and Fat Changes in the Kidneys in Humans as Assessed by MRI.

Hadar Raphael, Eyal Klang, Eli Konen, Yael Inbar, Avshalom Leibowitz, Yael Frenkel-Nir, Sara Apter, Ehud Grossman

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

6 citing papers in PubMed.

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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

8 authors.

Hadar RaphaelArrow Projects for Medical Research Education, The Chaim Sheba Medical Center, Tel Hashomer 5266202, Israel.
Eyal KlangDepartment of Imaging, The Chaim Sheba Medical Center, Tel Hashomer 5266202, Israel.
Eli KonenDepartment of Imaging, The Chaim Sheba Medical Center, Tel Hashomer 5266202, Israel.
Yael InbarDepartment of Imaging, The Chaim Sheba Medical Center, Tel Hashomer 5266202, Israel.
Avshalom LeibowitzFaculty of Medicine, Tel Aviv University, Tel Aviv 5266202, Israel.
Yael Frenkel-NirFaculty of Medicine, Tel Aviv University, Tel Aviv 5266202, Israel.
Sara ApterDepartment of Imaging, The Chaim Sheba Medical Center, Tel Hashomer 5266202, Israel.
Ehud GrossmanAdelson Medical School, Ariel University, Ariel 4077625, Israel.ORCID 0000-0001-8353-0661

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is associated with metabolic syndrome and fat accumulation in various organs such as the liver and the kidneys. Our goal was to assess, using magnetic resonance imaging (MRI) Dual-Echo phase sequencing, the association between liver and kidney fat deposition and their relation to obesity.

methodsWe analyzed MRI scans of individuals who were referred to the Chaim Sheba Medical Center between December 2017 and May 2020 to perform a study for any indication. For each individual, we retrieved from the computerized charts data on sex, and age, weight, height, body mass index (BMI), systolic and diastolic blood pressure (BP), and comorbidities (diabetes mellitus, hypertension, dyslipidemia).

resultsWe screened MRI studies of 399 subjects with a median age of 51 years, 52.4% of whom were women, and a median BMI 24.6 kg/m

conclusionsObesity is a major risk factor for developing a fatty liver and fatty kidneys. Individuals with a fatty liver are more likely to have fatty kidneys. MRI is an accurate modality for diagnosing fatty kidneys. Reviewing MRI scans of any indication should include assessment of fat fractions in the kidneys in addition to that of the liver.

Indexed as

Fatty LiverKidneyMagnetic Resonance ImagingObesityAdultAgedBody Mass IndexFemaleHumansKidney DiseasesLiverMaleMiddle AgedRisk Factorsfatty kidneysfatty liverMRIobesity

Identifiers

PMID38732633
PMCPMC11085048

What Socratic 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 Socratic graph.