Evidence map›Paper›PMID 34233925›Full record

ArticleDiabetes care2021

Chronic Kidney Disease Testing Among Primary Care Patients With Type 2 Diabetes Across 24 U.S. Health Care Organizations.

Nikita Stempniewicz, Joseph A Vassalotti, John K Cuddeback, Elizabeth Ciemins, Amy Storfer-Isser, Yingying Sang, Kunihiro Matsushita, Shoshana H Ballew, Alex R Chang, Andrew S Levey and 3 more

Abstract read
In one paragraph

Article in Diabetes care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 4 pooled it
–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

88 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Review
  8. Article
  9. Article
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  11. Article
  12. Risk of Hospital Readmission among People with CKD: A Population-Based Cohort Study.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Article
  13. Article
  14. Article
  15. Are your kidneys okay? Detect early to protect kidney health.Kidney research and clinical practice · 2026
    Article
  16. Article
  17. Article
  18. Definition, Classification, Diagnosis, and Management of an Emerging Threat: Cardio-Renal-Metabolic Syndrome.American journal of cardiovascular drugs : drugs, devices, and other interventions · 2026
    Review
  19. Article
  20. Review

28 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Nikita StempniewiczAmerican Medical Group Association, Alexandria, VA nstempniewicz@amga.org.ORCID 0000-0002-0877-4460
Joseph A VassalottiNational Kidney Foundation, New York, NY.
John K CuddebackAmerican Medical Group Association, Alexandria, VA.
Elizabeth CieminsAmerican Medical Group Association, Alexandria, VA.ORCID 0000-0003-1262-7946
Amy Storfer-IsserNational Committee for Quality Assurance, Washington, DC.
Yingying SangJohns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Kunihiro MatsushitaJohns Hopkins Bloomberg School of Public Health, Baltimore, MD.ORCID 0000-0002-7179-718X
Shoshana H BallewJohns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Alex R ChangGeisinger Medical Center, Danville, PA.
Andrew S LeveyTufts Medical Center, Boston, MA.
Robert A BaileyJanssen Scientific Affairs, LLC, Titusville, NJ.
Jesse FishmanJanssen Scientific Affairs, LLC, Titusville, NJ.
Josef CoreshJohns Hopkins Bloomberg School of Public Health, Baltimore, MD.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveClinical guidelines for people with diabetes recommend chronic kidney disease (CKD) testing at least annually using estimated glomerular filtration rate (eGFR) and urinary albumin-to-creatinine ratio (uACR). We aimed to understand CKD testing among people with type 2 diabetes in the U.S. RESEARCH DESIGN AND

methodsElectronic health record data were analyzed from 513,165 adults with type 2 diabetes receiving primary care from 24 health care organizations and 1,164 clinical practice sites. We assessed the percentage of patients with both one or more eGFRs and one or more uACRs and each test individually in the 1, 2, and 3 years ending September 2019 by health care organization and clinical practice site. Elevated albuminuria was defined as uACR ≥30 mg/g.

resultsThe 1-year median testing rate across organizations was 51.6% for both uACR and eGFR, 89.5% for eGFR, and 52.9% for uACR. uACR testing varied (10th-90th percentile) from 44.7 to 63.3% across organizations and from 13.3 to 75.4% across sites. Over 3 years, the median testing rate for uACR across organizations was 73.7%. Overall, the prevalence of detected elevated albuminuria was 15%. The average prevalence of detected elevated albuminuria increased linearly with uACR testing rates at sites, with estimated prevalence of 6%, 15%, and 30% at uACR testing rates of 20%, 50%, and 100%, respectively.

conclusionsWhile eGFR testing rates are uniformly high among people with type 2 diabetes, testing rates for uACR are suboptimal and highly variable across and within the organizations examined. Guideline-recommended uACR testing should increase detection of CKD.

Indexed as

Diabetes Mellitus, Type 2Renal Insufficiency, ChronicAdultAlbuminuriaCreatinineDelivery of Health CareGlomerular Filtration RateHumansPrimary Health CareCreatinine

Identifiers

PMID34233925
PMCPMC8740923

What OpenQuestion holds

Textmetadata
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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.