Evidence mapPaperPMID 41928879Full record

Trial reportFrontiers in endocrinology2026

Cardiorenal risk stratification in high-risk type 2 diabetes using a simple clinical score: findings from the ELIXA trial.

Wenhui Jiang, Jingyu Wang, Jing Li, Yongmei Li, Yi Zhang, Jie Xu, Jinghang Zhang, Zhongai Gao, Jingli Cheng, Juhong Yang and 1 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Wenhui JiangNHC Key Lab of Hormones and Development and Tianjin Key Lab of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Institute of Endocrinology, Tianjin, China.
Jingyu WangNHC Key Lab of Hormones and Development and Tianjin Key Lab of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Institute of Endocrinology, Tianjin, China.
Jing LiNHC Key Lab of Hormones and Development and Tianjin Key Lab of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Institute of Endocrinology, Tianjin, China.
Yongmei LiNHC Key Lab of Hormones and Development and Tianjin Key Lab of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Institute of Endocrinology, Tianjin, China.
Yi ZhangNHC Key Lab of Hormones and Development and Tianjin Key Lab of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Institute of Endocrinology, Tianjin, China.
Jie XuNHC Key Lab of Hormones and Development and Tianjin Key Lab of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Institute of Endocrinology, Tianjin, China.
Jinghang ZhangNHC Key Lab of Hormones and Development and Tianjin Key Lab of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Institute of Endocrinology, Tianjin, China.
Zhongai GaoNHC Key Lab of Hormones and Development and Tianjin Key Lab of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Institute of Endocrinology, Tianjin, China.
Jingli ChengNHC Key Lab of Hormones and Development and Tianjin Key Lab of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Institute of Endocrinology, Tianjin, China.
Juhong Yang *Guangdong Provincial Key Laboratory of Autophagy and Major Chronic Non-communicable Diseases, Key Laboratory of Prevention and Management of Chronic Kidney Disease of Zhanjiang, Institute of Nephrology, Endocrinology Department of Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Baocheng Chang *NHC Key Lab of Hormones and Development and Tianjin Key Lab of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Institute of Endocrinology, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Early identification of patients with high cardiorenal risk and timely targeted interventions are critical in managing type 2 diabetes (T2D). Although we previously developed a multivariable risk score to predict diabetic kidney disease (DKD), its ability to stratify cardiorenal risk in T2D patients with established high cardiovascular risk remains unknown. Methods: In this Results: The risk score demonstrated strong, graded associations with cardiorenal outcomes. Over 108 weeks of renal follow-up, a progressive increase in DKD incidence was observed across risk strata (52.5% vs. 13.5% in the very high- vs. low-risk groups; relative risks [RR] 3.89, 95% confidence interval [CI] 2.82 Discussion: This practical risk score identifies high-risk T2D patients with cardiorenal risk, including early renal function decline, to guide targeted intervention.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Diabetic NephropathiesAgedFemaleHumansIncidenceMaleMiddle AgedPrognosisRisk AssessmentRisk Factorscardiorenal diseasecardiovascular diseasescardiovascular-kidney-metabolic syndromediabetic kidney diseaserisk assessmenttype 2 diabetes mellitus

Identifiers

PMID41928879
PMCPMC13038427

What Socratic holds

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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.