Evidence map›Paper›PMID 41432864›Full record

ArticleJournal of endocrinological investigation2026

Renal fat fraction quantified by MRI-Dixon predicts the renal function progression in patients with type 2 diabetes mellitus: a prospective cohort study.

Qiuhong Li, Yunqi Wu, Xian Shao, Tongdan Wang, Yao Lin, Haizhen Sun, Saijun Zhou, Hongyan Liu, Pei Yu

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Article in Journal of endocrinological investigation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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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

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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.

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4 · The record

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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

9 authors.

Qiuhong LiNHC Key Laboratory of Hormones and Development, Tianjin Institute of Endocrinology, Chu Hsien-I Memorial Hospital, Tianjin Medical University, No.6 North Huanrui Rd, Beichen District, Tianjin, 300134, China.
Yunqi WuNHC Key Laboratory of Hormones and Development, Tianjin Institute of Endocrinology, Chu Hsien-I Memorial Hospital, Tianjin Medical University, No.6 North Huanrui Rd, Beichen District, Tianjin, 300134, China.
Xian ShaoNHC Key Laboratory of Hormones and Development, Tianjin Institute of Endocrinology, Chu Hsien-I Memorial Hospital, Tianjin Medical University, No.6 North Huanrui Rd, Beichen District, Tianjin, 300134, China.
Tongdan WangNHC Key Laboratory of Hormones and Development, Tianjin Institute of Endocrinology, Chu Hsien-I Memorial Hospital, Tianjin Medical University, No.6 North Huanrui Rd, Beichen District, Tianjin, 300134, China.
Yao LinNHC Key Laboratory of Hormones and Development, Tianjin Institute of Endocrinology, Chu Hsien-I Memorial Hospital, Tianjin Medical University, No.6 North Huanrui Rd, Beichen District, Tianjin, 300134, China.
Haizhen SunNHC Key Laboratory of Hormones and Development, Tianjin Institute of Endocrinology, Chu Hsien-I Memorial Hospital, Tianjin Medical University, No.6 North Huanrui Rd, Beichen District, Tianjin, 300134, China.
Saijun ZhouNHC Key Laboratory of Hormones and Development, Tianjin Institute of Endocrinology, Chu Hsien-I Memorial Hospital, Tianjin Medical University, No.6 North Huanrui Rd, Beichen District, Tianjin, 300134, China.
Hongyan LiuNHC Key Laboratory of Hormones and Development, Tianjin Institute of Endocrinology, Chu Hsien-I Memorial Hospital, Tianjin Medical University, No.6 North Huanrui Rd, Beichen District, Tianjin, 300134, China. liuhongyan0323@126.com.
Pei YuNHC Key Laboratory of Hormones and Development, Tianjin Institute of Endocrinology, Chu Hsien-I Memorial Hospital, Tianjin Medical University, No.6 North Huanrui Rd, Beichen District, Tianjin, 300134, China. yupei@tmu.edu.cn.ORCID http://orcid.org/0000-0001-7992-0480

Funding

Key Project of Natural Science Foundation of Tianjin 22JCZDJC00590.Scientific Research Funding of Tianjin Medical University Chu Hsien-I Memorial Hospital ZXY-ZDSYSZD-1Tianjin Key Medical Discipline (Specialty) Construct Project TJYXZDXK-032ATianjin Science and Technology Major Special Project and Engineering Public Health Science and Technology Major Special Project 21ZXGWSY00100
6 · The paper itself

Abstract

backgroundLipid accumulation occurs in kidneys and leads to cellular damage. We aimed to investigate whether renal fat fraction (FF) is an independent predictor for the renal function progression in patients with type 2 diabetes mellitus (T2DM).

methodsRenal fat fraction (FF) was measured by MRI-Dixon imaging technique. 174 patients with T2DM were included in cross-sectional analysis, and 111 patients were enrolled in longitudinal analysis. After followed up for a median of 18.0 months, 21 of the 111 participants developed renal composite endpoint events. The outcomes were 30% decrease in eGFR from baseline, progression to chronic kidney disease (CKD) (eGFR < 60 ml/min/1.73m2) or end-stage renal disease (ESRD) (eGFR < 15 ml/min/1.73m2).

resultsIn cross-sectional analysis, multiple linear regression analysis showed that the renal FF was negatively correlated with baseline eGFR, with β coefficients (95% CI) of -16.03 (95% CI: -19.58 to -12.48) after confounders adjustment. In the prospective analysis, cox regression model revealed that each SD increment in baseline renal FF was associated with a higher incidence of renal composite endpoint events (HR = 3.78, 95% CI: 1.22–11.71). When renal FF values were categorized into tertiles, individuals in the highest tertile had an increased risk of renal composite endpoint events compared to those in the lowest tertile (HR = 18.27, 95% CI: 1.03-322.83). Furthermore, the combination of renal FF and uACR improved the predictive effect of renal composite endpoint events, with AUC of 0.78 (95% CI: 0.66–0.89).

conclusionRenal FF was closely associated with the renal function and may serve as a predictor of the renal function progression in patients with T2DM.

Indexed as

Adipose TissueDiabetes Mellitus, Type 2Diabetic NephropathiesKidneyMagnetic Resonance ImagingRenal Insufficiency, ChronicAgedCross-Sectional StudiesDisease ProgressionFemaleFollow-Up StudiesGlomerular Filtration RateHumansKidney Failure, ChronicMaleMiddle AgedDixonMRIRenal fat fractionRenal function progressionType 2 diabetes mellitus

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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.