Evidence map›Paper›PMID 42898242›Full record

ArticleKidney medicine2026

Incident Type 2 Diabetes in Individuals With CKD: The REGARDS Study.

Xingsheng Li, Javier A Jurado Vélez, Nita Kanney, Archie Landrum, Lloyd J Edwards, Orlando M Gutierrez, D Leann Long, Bertha Hidalgo

Abstract read
In one paragraph

Article in Kidney medicine, 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
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0citing 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

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

8 authors.

Xingsheng LiDepartment of Biostatistics, Ryals School of Public Health, University of Alabama at Birmingham, Birmingham, AL.
Javier A Jurado VélezDepartment of Medicine, Medical University of South Carolina, Charleston, SC.
Nita KanneyDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI.
Archie LandrumHeersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL.
Lloyd J EdwardsDepartment of Biostatistics, Ryals School of Public Health, University of Alabama at Birmingham, Birmingham, AL.
Orlando M GutierrezDivision of Nephrology, Department of Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL.
D Leann LongDepartment of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC.
Bertha HidalgoDepartment of Epidemiology, Ryals School of Public Health, University of Alabama at Birmingham, Birmingham, AL.

Funding

VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
CTSA Predoctoral T32 at the University of Alabama at BirminghamT32TR004767 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Jennifer S Pollock · 2024 to 2026
$1.7M
NCATS NIH HHS T32 TR004767NINDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

Rationale & Objective: Chronic kidney disease (CKD) and diabetes are comorbid metabolic diseases that share common factors such as insulin resistance. Few studies have examined the association between CKD and incident diabetes, with limited consensus and associated risk factors. We conducted an analysis of participants in the Reasons for Geographic and Racial Differences in stroke study to investigate incident diabetes among participants with CKD compared with non-CKD participants. Study Design: A prospective cohort study. Setting & Participants: Total of 7,511 participants who completed 10 years of follow-up were included in the analysis, of whom 994 had CKD (an estimated glomerular filtration rate <60 mL/min/1.73m Exposure: CKD. Outcome: Incident diabetes. Analytical Approach: Logistic regression analysis was performed to estimate the odds of incident diabetes among CKD participants, with odds ratio (OR) and 95% CI. Risk factors for incident diabetes among CKD participants were also examined. Results: After 10 years of follow-up, 11.0% (717) of non-CKD participants and 15.8% (157) of CKD participants developed diabetes. Incident diabetes was higher among CKD participants than in non-CKD participants using creatinine-based equations, which was not seen when using a creatinine-based and cystatin C-based equation for CKD. Several risk factors such as race, prediabetes, age, body mass index, hypertension, current smoking, and exercise ≥ 4 times/week increased the odds of incident diabetes, whereas current alcohol use had a lower risk of incident diabetes. Prediabetes had the highest risk of incident diabetes (OR = 4.94, 95% Cl: 4.22-5.78; Limitations: Attrition bias, limited generalizability, and limited diagnostic classification. Conclusions: The association between CKD and incident diabetes depends on how CKD is defined. These findings highlight the need for future studies to explore how renal function is assessed when determining adverse outcomes related to CKD.

Indexed as

chronic kidney diseasecystatin CdyslipidemiaeGFRhypertensionlifestyleprediabetesType 2 diabetes

Identifiers

PMID42898242
PMCPMC13677398

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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.