Evidence map›Paper›PMID 42541306›Full record

ArticlePreventive medicine reports2026

Current attitudes of primary care providers toward albuminuria testing in patients with diabetes in the United States.

Yoshihisa Miyamoto, Fang Xu, Ibrahim Zaganjor, Meda E Pavkov, Alain K Koyama, Stephen Onufrak

Abstract read
In one paragraph

Article in Preventive medicine reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

6 authors.

Yoshihisa MiyamotoDivision of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA, USA.
Fang XuDivision of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA, USA.
Ibrahim ZaganjorDivision of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA, USA.
Meda E PavkovDivision of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA, USA.
Alain K KoyamaDivision of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA, USA.
Stephen OnufrakDivision of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate primary care providers' attitudes and practices regarding albuminuria testing in patients with type 2 diabetes in the United States. Methods: Using a web-based opt-in panel of providers (Porter Novelli DocStyles survey, Fall 2024), we conducted a cross-sectional study to assess attitudes toward albuminuria testing, adherence to guidelines, and reported barriers. Associations were estimated using multivariable Poisson regression. Results: Among 1236 providers who see at least one patient with diabetes weekly, 90.0% supported albuminuria testing and 83.3% agreed that annual testing helps with diabetes prognosis. Adherence to recommended urine testing-defined as correct test type, concurrent urine creatinine measurement, and recommended testing frequency-ranged from 52% to 68%. Lower adherence was associated with inpatient practice, being a nurse practitioner or physician assistant, lack of a urinalysis reminder system, perceived guideline ambiguity or time constraints, and lower diabetes patient volume. Conclusions: Despite most providers supporting urine testing for patients with diabetes, significant gaps between knowledge and practice were identified. Clinical decision support tools and clearer recommendations may help close the gaps between the guideline recommendations and practice.

Indexed as

Barriers and facilitatorsChronic kidney diseaseClinical careClinical guideline complianceDiabetesScreening

Identifiers

PMID42541306
PMCPMC13427520

What OpenQuestion holds

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LicenceCC BY
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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.