Evidence map›Paper›PMID 30063741›Full record

ArticlePloS one2018

County-level air quality and the prevalence of diagnosed chronic kidney disease in the US Medicare population.

Jennifer Bragg-Gresham, Hal Morgenstern, William McClellan, Sharon Saydah, Meda Pavkov, Desmond Williams, Neil Powe, Delphine Tuot, Raymond Hsu, Rajiv Saran and 1 more

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Chronic PMScientific reports · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Ambient PMEnvironmental geochemistry and health · 2024
    Article
  14. Article
  15. Toxicological Effects of Fine Particulate Matter (PMWater, air, and soil pollution · 2023
    Review
  16. The association between fine particulate matter (PMJournal of exposure science & environmental epidemiology · 2022
    Article
  17. Association of PMHealth data science · 2022
    Article
  18. Short-term exposure to PMJournal of hazardous materials · 2021
    Article
  19. Emerging role of air pollution in chronic kidney disease.Environmental science and pollution research international · 2021
    Review
  20. 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

11 authors.

Jennifer Bragg-GreshamDepartment of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI, United States of America.ORCID 0000-0002-9069-9489
Hal MorgensternDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States of America.
William McClellanDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America.
Sharon SaydahCenters for Disease Control and Prevention, Atlanta, GA, United States of America.
Meda PavkovCenters for Disease Control and Prevention, Atlanta, GA, United States of America.
Desmond WilliamsCenters for Disease Control and Prevention, Atlanta, GA, United States of America.
Neil PoweDepartment of Medicine University of California, San Francisco, CA, United States of America.
Delphine TuotDepartment of Medicine University of California, San Francisco, CA, United States of America.
Raymond HsuDepartment of Medicine University of California, San Francisco, CA, United States of America.
Rajiv SaranDepartment of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI, United States of America.
Centers for Disease Control and Prevention CKD Surveillance System

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConsiderable geographic variation exists in the prevalence of chronic kidney disease across the United States. While some of this variability can be explained by differences in patient-level risk factors, substantial variability still exists. We hypothesize this may be due to understudied environmental exposures such as air pollution.

methodsUsing data on 1.1 million persons from the 2010 5% Medicare sample and Environmental Protection Agency air-quality measures, we examined the association between county-level particulate matter ≤2.5 μm (PM2.5) and the prevalence of diagnosed CKD, based on claims. Modified Poisson regression was used to estimate associations (prevalence ratios [PR]) between county PM2.5 concentration and individual-level diagnosis of CKD, adjusting for age, sex, race/ethnicity, hypertension, diabetes, and urban/rural status.

resultsPrevalence of diagnosed CKD ranged from 0% to 60% by county (median = 16%). As a continuous variable, PM2.5 concentration shows adjusted PR of diagnosed CKD = 1.03 (95% CI: 1.02-1.05; p<0.001) for an increase of 4 μg/m3 in PM2.5. Investigation by quartiles shows an elevated prevalence of diagnosed CKD for mean PM2.5 levels ≥14 μg/m3 (highest quartile: PR = 1.05, 95% CI: 1.03-1.07), which is consistent with current ambient air quality standard of 12 μg/m3, but much lower than the level typically considered healthy for sensitive groups (~40 μg/m3).

conclusionA positive association was observed between county-level PM2.5 concentration and diagnosed CKD. The reliance on CKD diagnostic codes likely identified associations with the most severe CKD cases. These results can be strengthened by exploring laboratory-based diagnosis of CKD, individual measures of exposure to multiple pollutants, and more control of confounding.

Indexed as

AgedAged, 80 and overAir PollutantsAir PollutionCross-Sectional StudiesEnvironmental ExposureFemaleHumansMaleMedicareParticulate MatterPrevalenceRenal Insufficiency, ChronicRisk AssessmentUnited StatesUnited States Environmental Protection AgencyAir PollutantsParticulate Matter

Identifiers

PMID30063741
PMCPMC6067706

What OpenQuestion holds

Textmetadata
LicenceCC0
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.