Evidence map›Paper›PMID 35072045›Full record

ArticleKidney medicine2022

Racial and Socioeconomic Disparities in CKD in the Context of Universal Health Care Provided by the Military Health System.

Jenna M Norton, Lindsay Grunwald, Amanda Banaag, Cara Olsen, Andrew S Narva, Eric Marks, Tracey P Koehlmoos

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Social Determinants of Health and ESKD among Survivors of Critical Illness and Acute Kidney Injury.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Observational
  2. Article
  3. Review
  4. Article
  5. Article
  6. Diabetic Kidney Disease Prevention Care Model Development.Clinical diabetes : a publication of the American Diabetes Association · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
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

7 authors at 3 institutions in 1 country.

Jenna M NortonDepartment of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD.
Lindsay GrunwaldHenry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD.
Amanda BanaagHenry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD.
Cara OlsenDepartment of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD.
Andrew S NarvaCollege of Agriculture, Urban Sustainability & Environmental Sciences, University of the District of Columbia, Washington, DC.
Eric MarksDepartment of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD.
Tracey P KoehlmoosDepartment of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD.
Uniformed Services University of the Health Sciences · USHenry M. Jackson Foundation · USUniversity of the District of Columbia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RATIONALE &

objectiveHealth-impeding social determinants of health-including reduced access to care-contribute to racial and socioeconomic disparities in chronic kidney disease (CKD). The Military Health System (MHS) provides an opportunity to assess a large, diverse population for CKD disparities in the context of universal health care. STUDY

designCross-sectional study. SETTING &

participantsMHS beneficiaries aged 18 to 64 years receiving care between October 1, 2015, and September 30, 2018. PREDICTORS: Race, sponsor's rank (a proxy for socioeconomic status and social class), median household income by sponsor's zip code, and marital status. OUTCOME: CKD prevalence, defined by ANALYTICAL APPROACH: Multivariable logistic regression compared CKD prevalence by predictors, controlling separately for confounders (age, sex, active-duty status, sponsor's service branch, and depression) and mediators (hypertension, diabetes, HIV, and body mass index).

resultsOf 3,330,893 beneficiaries, 105,504 (3.2%) had CKD. In confounder-adjusted models, the CKD prevalence was higher in Black versus White beneficiaries (OR, 1.67; 95% CI, 1.64-1.70), but lower in single versus married beneficiaries (OR, 0.77; 95% CI, 0.76-0.79). The prevalence of CKD was increased among those with a lower military rank and among those with a lower median household income in a nearly dose-response fashion ( LIMITATIONS: The cross-sectional design prevents causal inferences. We may have underestimated the CKD prevalence, given a lack of data for laboratory tests conducted outside the MHS and the use of a specific CKD definition. The transient nature of the MHS population may limit the accuracy of zip code-level median household income data.

conclusionsRacial and socioeconomic CKD disparities exist in the MHS despite universal health care coverage. The existence of CKD disparities by rank and median household income suggests that social risks may contribute to both racial and socioeconomic disparities despite access to universal health care coverage.

Indexed as

Chronic kidney diseasedisparitieshealth care coveragehealth insuranceracesocial determinants of healthsocioeconomic status

Identifiers

PMID35072045
PMCPMC8767122
OpenAlexW3210915218

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.