Evidence map›Paper›PMID 41853746›Full record

ArticleKidney international reports2026

Perirenal Adipose Tissue may be an Important Predictor of Adverse Kidney Outcomes in Living Kidney Donors.

Aleksandra Kukla, Anum Iqbal, Syed Khooshal Fareeduddin, Petar Veruovic, Hira Tariq, Pooja Budhiraja, Tayyab S Diwan, David D Thiel, Lilach O Lerman, Aidan F Mullan and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Kidney international reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Aleksandra KuklaDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA.
Anum IqbalDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA.
Syed Khooshal FareeduddinDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA.
Petar VeruovicDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA.
Hira TariqDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA.
Pooja BudhirajaDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Pheonix, Arizona, USA.
Tayyab S DiwanWilliam J von Leibig Center for Transplantation and Clinical Regeneration, Mayo Clinic, Rochester, Minnesota, USA.
David D ThielDepartment of Urology, Mayo Clinic Florida, Jacksonville, Florida, USA.
Lilach O LermanDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA.
Aidan F MullanDivision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
Andrew D RuleDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA.
Aleksandar DenicDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA.

Funding

Artificial Intelligence-Based Methods to Characterize Kidney Macrostructure from Pre- and Post-Nephrectomy Computed Tomography ImagesR01DK137827 · NIDDK · MAYO CLINIC ROCHESTER · PI Aleksandar Denic, Timothy Lee Kline · 2024 to 2026
$1.1M
NIDDK NIH HHS R01 DK137827
6 · The paper itself

Abstract

Introduction: Obesity is a growing concern among living kidney donors (LKDs), with perirenal adipose tissue (PRAT) increasingly recognized as a key contributor to chronic kidney disease (CKD) risk. This study evaluates PRAT thickness in relation to kidney function, hypertension, and histological markers of fibrosis in LKDs. Methods: We retrospectively analyzed 3226 LKDs from Mayo Clinic Minnesota and Arizona (2000-2019) with implantation kidney biopsies and predonation computed tomography (CT) angiograms. PRAT thickness was measured posteriorly and laterally from the retained kidney at the renal vein level and perirenal fat stranding (PFS) was graded. Histological assessments included nonsclerosed glomeruli, globally sclerosed glomeruli (GSG), interstitial fibrosis and tubular atrophy (IFTA), and luminal stenosis. Results: PRAT thickness and PFS increased with older age, especially in men. Black donors had the lowest PRAT and PFS measures. Compared with normotensive donors, donors with hypertension had significantly higher body mass index (BMI) (29.5 kg/m Conclusion: PRAT thickness was a stronger predictor of postdonation renal outcomes than BMI. Incorporating PRAT assessment into donor evaluation may improve risk stratification and identify therapeutic targets for reducing CKD risk in LKDs.

Indexed as

aging kidney anatomychronic kidney diseaseliving kidney donorperirenal fat thickness

Identifiers

PMID41853746
PMCPMC12994023

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.