Evidence map›Paper›PMID 37036790›Full record

ArticleEnvironmental health perspectives2023

Air Pollution and Acute Kidney Injury in the U.S. Medicare Population: A Longitudinal Cohort Study.

Whanhee Lee, Xiao Wu, Seulkee Heo, Joyce Mary Kim, Kelvin C Fong, Ji-Young Son, Matthew Benjamin Sabath, Ana Trisovic, Danielle Braun, Jae Yoon Park and 7 more

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
6.3field-weighted citation impact, top 2% 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

19 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. The impact of mixed exposure to PMFrontiers in public health · 2026
    Article
  6. Article
  7. Review
  8. Nationwide Machine Learning-Ensemble PMEnvironment & health (Washington, D.C.) · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 9 institutions in 2 countries.

Whanhee LeeSchool of Biomedical Convergence Engineering, Pusan National University, Yangsan, Republic of Korea.ORCID 0000-0001-5723-9061
Xiao WuDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York, USA.
Seulkee HeoYale School of the Environment, Yale University, New Haven, Connecticut, USA.
Joyce Mary KimDepartment of Environmental Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea.
Kelvin C FongYale School of the Environment, Yale University, New Haven, Connecticut, USA.
Ji-Young SonYale School of the Environment, Yale University, New Haven, Connecticut, USA.
Matthew Benjamin SabathFaculty of Arts and Sciences Research Computing Department, Harvard University, Boston, Massachusetts, USA.
Ana TrisovicDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Danielle BraunDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Jae Yoon ParkDepartment of Internal Medicine, Dongguk University Ilsan Hospital, Republic of Korea.
Yong Chul KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Jung Pyo LeeDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Joel SchwartzDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Ho KimDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.
Francesca DominiciDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Ziyad Al-AlyNephrology Section, Medicine Service, Veterans Affairs Saint Louis Health Care System, Saint Louis, Missouri, USA.
Michelle L BellYale School of the Environment, Yale University, New Haven, Connecticut, USA.
Harvard University · USYale University · USSeoul National University · KRColumbia University · USDongguk University · KREwha Womans University · KRPusan National University · KRSeoul National University Hospital · KRWashington University in St. Louis · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundRecent studies have reported the association between air pollution exposure and reduced kidney function. However, it is unclear whether air pollution is associated with an increased risk of acute kidney injury (AKI).

objectivesTo address this gap in knowledge, we investigated the effect estimates of long-term exposures to fine particulate matter [PM

methodsThis nationwide population-based longitudinal cohort study included 61,300,754 beneficiaries enrolled in Medicare Part A fee-for-service (FFS) who were

resultsExposure to DISCUSSION: This study found an association between exposures to air pollution and the risk of the first hospital admission with AKI, and this association persisted even at low concentrations of air pollution. Our findings provide beneficial implications for public health policies and air pollution guidelines to alleviate health care expenditures and the disease burden attributable to AKI. https://doi.org/10.1289/EHP10729.

Indexed as

Acute Kidney InjuryAir PollutantsAir PollutionAgedCohort StudiesEnvironmental ExposureHumansLongitudinal StudiesMedicareNitrogen DioxideParticulate MatterUnited StatesAir PollutantsNitrogen DioxideParticulate Matter

Identifiers

PMID37036790
PMCPMC10084931
OpenAlexW4362737387

What OpenQuestion holds

Textmetadata
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.