Evidence map›Paper›PMID 37498594›Full record

ArticleJAMA network open2023

Estimated Prevalence and Testing for Albuminuria in US Adults at Risk for Chronic Kidney Disease.

Chi D Chu, Fang Xia, Yuxian Du, Rakesh Singh, Delphine S Tuot, Julio A Lamprea-Montealegre, Ralph Gualtieri, Nick Liao, Sheldon X Kong, Todd Williamson and 2 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 4 pooled it
23.7field-weighted citation impact, top 1% 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

76 citing papers in PubMed, 4 syntheses or guidelines pooled it, 108 citations in OpenAlex.

  1. Pooled it
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  13. Care Processes and Clinical Responses to Newly Detected Albuminuria: The Stockholm Creatinine Measurements (SCREAM) Project.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2026
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16 more citing papers are in PubMed but not listed here.

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

12 authors at 3 institutions in 1 country.

Chi D ChuDepartment of Medicine, University of California, San Francisco.
Fang XiaGilead Sciences Inc, Foster City, California.
Yuxian DuBayer US LLC, Whippany, New Jersey.
Rakesh SinghBayer US LLC, Whippany, New Jersey.
Delphine S TuotDepartment of Medicine, University of California, San Francisco.
Julio A Lamprea-MontealegreDepartment of Medicine, University of California, San Francisco.
Ralph GualtieriBayer US LLC, Whippany, New Jersey.
Nick LiaoBayer US LLC, Whippany, New Jersey.
Sheldon X KongBayer US LLC, Whippany, New Jersey.
Todd WilliamsonBayer US LLC, Whippany, New Jersey.
Michael G ShlipakDepartment of Medicine, University of California, San Francisco.
Michelle M EstrellaDepartment of Medicine, University of California, San Francisco.
Bayer (United States) · USUniversity of California, San Francisco · USGilead Sciences (United States) · US

Funding

Institutional Career Development Core SupplementKL2TR001870 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KANAYA, ALKA M., SARKAR, URMIMALA · 2016 to 2025
$19.7M
UCSF Learning Health System K12 Career Development ProgramK12HS026383 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GONZALES, RALPH, SARKAR, URMIMALA · 2018 to 2022
$3.6M
Closing the Cardio-Renal Preventive Treatment Gap Among Patients with Type 2 Diabetes Mellitus and Chronic Kidney Disease: An Implementation Science ApproachR00HL157721 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Julio Alejandro Lamprea Montealegre · 2024 to 2026
$732k
Closing the Cardio-Renal Preventive Treatment Gap Among Patients with Type 2 Diabetes Mellitus and Chronic Kidney Disease: An Implementation Science ApproachK99HL157721 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LAMPREA MONTEALEGRE, JULIO ALEJANDRO · 2022 to 2023
$296k
Targeted Automated Nephrology e-Consultation for Diabetic Kidney DiseaseK23DK131316 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHU, CHI · 2023 to 2024
$277k
AHRQ HHS K12 HS026383NCATS NIH HHS KL2 TR001870NHLBI NIH HHS K99 HL157721NHLBI NIH HHS R00 HL157721NIDDK NIH HHS K23 DK131316
6 · The paper itself

Abstract

Importance: Albuminuria testing is crucial for guiding evidence-based treatments to mitigate chronic kidney disease (CKD) progression and cardiovascular morbidity, but it is widely underutilized among persons with or at risk for CKD. Objective: To estimate the extent of albuminuria underdetection from lack of testing and evaluate its association with CKD treatment in a large US cohort of patients with hypertension or diabetes. Design, Setting, and Participants: This cohort study examined adults with hypertension or diabetes, using data from the 2007 to 2018 National Health and Nutrition Examination Surveys (NHANES) and the Optum deidentified electronic health record (EHR) data set of diverse US health care organizations. Analyses were conducted from October 31, 2022, to May 19, 2023. Main Outcomes and Measures: Using NHANES as a nationally representative sample, a logistic regression model was developed to estimate albuminuria (urine albumin-creatinine ratio ≥30 mg/g). This model was then applied to active outpatients in the EHR from January 1, 2017, to December 31, 2018. The prevalence of albuminuria among those with and without albuminuria testing during this period was estimated. A multivariable logistic regression was used to examine associations between having albuminuria testing and CKD therapies within the subsequent year (prescription for angiotensin-converting enzyme inhibitor [ACEi] or angiotensin II receptor blocker [ARB], prescription for sodium-glucose cotransporter 2 inhibitor [SGLT2i], and blood pressure control to less than 130/80 mm Hg or less than 140/90 mm Hg on the latest outpatient measure). Results: The total EHR study population included 192 108 patients (mean [SD] age, 60.3 [15.1] years; 185 589 [96.6%] with hypertension; 50 507 [26.2%] with diabetes; mean [SD] eGFR, 84 [21] mL/min/1.73 m2). There were 33 629 patients (17.5%) who had albuminuria testing; of whom 11 525 (34.3%) had albuminuria. Among 158 479 patients who were untested, the estimated albuminuria prevalence rate was 13.4% (n = 21 231). Thus, only 35.2% (11 525 of 32 756) of the projected population with albuminuria had been tested. Albuminuria testing was associated with higher adjusted odds of receiving ACEi or ARB treatment (OR, 2.39 [95% CI, 2.32-2.46]), SGLT2i treatment (OR, 8.22 [95% CI, 7.56-8.94]), and having blood pressure controlled to less than 140/90 mm Hg (OR, 1.20 [95% CI, 1.16-1.23]). Conclusions and Relevance: In this cohort study of patients with hypertension or diabetes, it was estimated that approximately two-thirds of patients with albuminuria were undetected due to lack of testing. These results suggest that improving detection of CKD with albuminuria testing represents a substantial opportunity to optimize care delivery for reducing CKD progression and cardiovascular complications.

Indexed as

AlbuminuriaDiagnostic Techniques and ProceduresRenal Insufficiency, ChronicAdultAgedCohort StudiesDiabetes MellitusFemaleHumansHypertensionMaleMiddle AgedPrevalenceRisk AssessmentUnited States

Identifiers

PMID37498594
PMCPMC10375308
OpenAlexW4385294595

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.