Evidence map›Paper›PMID 41404372›Full record

ArticleClinical kidney journal2025

Association of pancreas fat fraction with adverse kidney and cardiovascular outcomes.

Philip Thomas, Martina Salud, Celestin Missikpode, Omar Garcia Martinez, Ashish Verma, Runqi Zhao, Sophie E Claudel, Insa M Schmidt, Daniel H van Raalte, Petter Bjornstad and 4 more

Abstract read
In one paragraph

Article in Clinical kidney journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

14 authors.

Philip ThomasDivision of Nephrology, Department of Medicine, University of Illinois Chicago, Chicago, IL, USA.
Martina SaludDivision of Nephrology, Department of Medicine, John H. Stroger Jr Hospital of Cook County, Chicago, IL, USA.
Celestin MissikpodeDivision of Nephrology, Department of Medicine, University of Illinois Chicago, Chicago, IL, USA.
Omar Garcia MartinezDivision of Nephrology, Department of Medicine, University of Illinois Chicago, Chicago, IL, USA.
Ashish VermaSection of Nephrology, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, MA, USA.ORCID https://orcid.org/0000-0001-9497-6327
Runqi ZhaoSection of Nephrology, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, MA, USA.
Sophie E ClaudelSection of Nephrology, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, MA, USA.ORCID https://orcid.org/0000-0002-7695-4674
Insa M SchmidtSection of Nephrology, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, MA, USA.
Daniel H van RaalteDiabetes Center, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands.
Petter BjornstadDivision of Metabolism, Endocrinology and Nutrition, Department of Medicine, University of Washington, Seattle, WA, USA.
Brian T LaydenDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Illinois Chicago, Chicago, IL, USA.
James P LashDivision of Nephrology, Department of Medicine, University of Illinois Chicago, Chicago, IL, USA.
Sushrut S WaikarSection of Nephrology, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, MA, USA.
Anand SrivastavaDivision of Nephrology, Department of Medicine, University of Illinois Chicago, Chicago, IL, USA.

Funding

Functional MRI to Identify High-risk CKD PhenotypesR01DK139321 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Anand Srivastava · 2025 to 2026
$1.5M
NIDDK NIH HHS R01 DK139321
6 · The paper itself

Abstract

Background: Pancreas fat accumulation has been associated with impaired glucose metabolism and stimulation of inflammation. The associations of pancreatic fat fraction (PFF) with adverse outcomes remain understudied. Methods: We estimated baseline predicted PFF (pPFF) from abdominal magnetic resonance imaging (MRI) in 29 447 UK Biobank participants. Since the initial imaging visit occurred 9.3 [interquartile range (IQR) 8.2-10.2] years after baseline visit, we calculated annual change in PFF using linear regression in 337 participants who underwent repeat imaging 2.8 (IQR 2.2-4.8) years after the initial scan. We back-calculated pPFF by adding this change to each participant based on the time between baseline visit and initial MRI visit assuming linear change in PFF over time. Multivariable-adjusted proportional hazards models tested associations of pPFF with incident chronic kidney disease (CKD), cardiovascular disease (CVD) and death. Results: Participants had a mean ± standard deviation age of 56 ± 8 years, mean eGFR of 98 ± 13 mL/min/1.73 m Conclusions: Higher pPFF levels are associated with higher risk of incident CKD and CVD but not death. Future studies should investigate whether pancreas fat depots should serve as a target of current or emerging therapies.

Indexed as

cardiovascular diseaseCKDectopic fatmagnetic resonance imagingpancreas fat

Identifiers

PMID41404372
PMCPMC12703370

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.