Evidence map›Paper›PMID 40486991›Full record

ArticleLancet regional health. Americas2025

Prevalence and severity of chronic kidney disease in a population with type 1 diabetes from a United States health system: a real-world cohort study.

Katherine R Tuttle, Christina L Reynolds, Lindsey M Kornowske, Cami R Jones, Radica Z Alicic, Kenn B Daratha, Joshua J Neumiller, Carla Greenbaum, Meda E Pavkov, Fang Xu and 4 more

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Review
  7. Article
  8. Obesity paradox in individuals with type 1 diabetes.Frontiers in clinical diabetes and healthcare · 2025
    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

14 authors.

Katherine R TuttleProvidence Medical Research Center, Providence Inland Northwest Health, Spokane, WA, USA.
Christina L ReynoldsProvidence Medical Research Center, Providence Inland Northwest Health, Spokane, WA, USA.
Lindsey M KornowskeProvidence Medical Research Center, Providence Inland Northwest Health, Spokane, WA, USA.
Cami R JonesProvidence Medical Research Center, Providence Inland Northwest Health, Spokane, WA, USA.
Radica Z AlicicProvidence Medical Research Center, Providence Inland Northwest Health, Spokane, WA, USA.
Kenn B DarathaProvidence Medical Research Center, Providence Inland Northwest Health, Spokane, WA, USA.
Joshua J NeumillerProvidence Medical Research Center, Providence Inland Northwest Health, Spokane, WA, USA.
Carla GreenbaumCenter for Intervention Immunology and Diabetes Program, Benaroya Research Institute, Seattle, WA, USA.
Meda E PavkovDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Fang XuDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA, USA.
O Kenrik DuruDivision of General Internal Medicine and Health Services Research, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Susanne B NicholasDivision of Nephrology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Keith C NorrisDivision of Nephrology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
CURE-CKD Consortium

Funding

Vector and Transgenic Mouse CoreP30DK017047 · NIDDK · UNIVERSITY OF WASHINGTON · PI Karin E Bornfeldt · 1986 to 2026
$41.4M
NIDDK NIH HHS P30 DK017047
6 · The paper itself

Abstract

Background: A contemporary description and estimates for rates of chronic kidney disease (CKD) in type 1 diabetes are needed to inform risk reduction strategies. The study aim was to assess prevalence and severity of CKD based on a population with type 1 diabetes receiving care at a large United States health system. Methods: Type 1 diabetes was identified through the Providence health system electronic health records during 2013-2022. Prevalent CKD was defined cross-sectionally by ≥ 90-day persistence of estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m Findings: The study population (N = 23,589) was 48.6% female with a mean ± SD age of 38 ± 17 years. CKD prevalence was 27.1%. Higher odds of CKD were found for females (odds ratio: 1.36 [95% confidence interval]: 1.26-1.47); age 60-79 years (reference 12-17 years; 2.22 [1.83-2.69]); Asian (reference White; 1.71 [1.20-2.44]), Black or African American (1.76 [1.45-2.14]), and Other race (1.33 [1.04-1.71]) populations. CKD odds were higher with hypertension, heart failure, and atherosclerotic cardiovascular disease. Severe kidney disease was present in 10.8% with higher odds among Black or African American (2.08 [1.23-3.54]) and Native Hawaiian or Pacific Islander (2.62 [1.28-5.38]) populations. Interpretation: CKD was present in nearly one of three persons with type 1 diabetes with higher risks for females, older adults, racial and ethnic minorities, and those with cardiovascular diseases. Severe kidney disease was found in over one-tenth and more likely in Black or African American and Native Hawaiian or Pacific Islander populations. Focus on disproportionately affected groups who may benefit from monitoring and interventions to improve clinical outcomes will be important for public health and health system strategies to reduce risks of CKD and severe kidney disease in type 1 diabetes. Funding: This work was supported in part by CDC project numbers 75D301-21-P-12254 and 75D301-23-C-18264, and in part by Brigham Research Institute.

Indexed as

Cardiovascular diseaseDiabetic kidney diseaseDiversityEpidemiologyKidney failure

Identifiers

PMID40486991
PMCPMC12145773

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.