Evidence map›Paper›PMID 36339666›Full record

ArticleKidney medicine2022

CKD Progression and Economic Burden in Individuals With CKD Associated With Type 2 Diabetes.

C Daniel Mullins, Kevin M Pantalone, Keith A Betts, Jinlin Song, Aozhou Wu, Yan Chen, Sheldon X Kong, Rakesh Singh

Open access · goldAbstract read
In one paragraph

Article in Kidney medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 7% of its field
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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  12. Risk of Progression and Costs of Care for Patients with Type 2 Diabetes and Chronic Kidney Disease.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
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  15. The role of PI3K/Akt signaling pathway in chronic kidney disease.International urology and nephrology · 2024
    Review
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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 at 4 institutions in 1 country.

C Daniel MullinsUniversity of Maryland Baltimore, Baltimore, MD.
Kevin M PantaloneDepartment of Endocrinology and Metabolism, Cleveland Clinic, Cleveland, OH.
Keith A BettsAnalysis Group, Inc, Los Angeles, CA.
Jinlin SongAnalysis Group, Inc, Los Angeles, CA.
Aozhou WuAnalysis Group, Inc, Los Angeles, CA.
Yan ChenAnalysis Group, Inc, Los Angeles, CA.
Sheldon X KongBayer U.S. LLC, Whippany, NJ.
Rakesh SinghBayer U.S. LLC, Whippany, NJ.
Analysis Group (United States) · USBayer (United States) · USCleveland Clinic · USUniversity of Baltimore · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationale & Objective: To evaluate progression patterns and associated economic outcomes, using estimated glomerular filtration rate (eGFR) and urine albumin-creatinine ratio (UACR) based on the Kidney Disease: Improving Global Outcomes (KDIGO) risk categories, among patients with type 2 diabetes (T2D) and chronic kidney disease (CKD). Study Design: Patients with T2D and moderate- or high-risk CKD were selected from the Optum electronic health records database (January 2007-December 2019). Progression patterns and post-progression economic outcomes were assessed. Setting & Participants: Adults with T2D and CKD in clinical settings. Predictor: Baseline KDIGO risk categories. Outcomes: Progression to a more severe KDIGO risk category; healthcare resource utilization and medical costs. Analytical Approach: Progression probability was estimated using cumulative incidence. Healthcare resource utilization and costs were compared across progression groups. Results: Of 269,187 patients (mean age 65.6 years) with T2D and CKD of moderate or high baseline risk, 18.9% progressed to the very high-risk category within 5 years. Among moderate-risk patients, 17.8% of CKD stage G1-A2, 44.0% of stage G2-A2, and 61.3% of stage G3a-A1 patients progressed to a higher KDIGO risk category. Among high-risk patients, 63.9% of stage G3b-A1/G3a-A2 and 56.0% of stage G2-A3 patients progressed to very high risk. Within the same eGFR stage, a higher UACR stage was associated with 4- to 7-times higher risk of progressing to very high risk and faster eGFR decline. Nonprogressors had lower annual medical costs ($16,924) than patients who progressed from moderate risk to high risk ($22,117, Limitations: Infrequent lab testing might have caused lags in identifying progression; medical costs were calculated using unit costs. Conclusions: Patients with T2D and CKD of moderate or high risk per KDIGO risk categories had high probabilities of progression, incurring a substantial economic burden. The results highlight the value of UACR in CKD management.

Indexed as

chronic kidney diseaseCKD progressionhealthcare costshealthcare resource utilizationType 2 diabetes

Identifiers

PMID36339666
PMCPMC9630787
OpenAlexW4293246624

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.