Evidence map›Paper›PMID 41316683›Full record

ArticleResearch report (Health Effects Institute)2025

REACH-OUT: Race, Ethnicity, and Air Pollution in COVID-19 Hospitalization OUTcomes.

J A Stingone, S Lovinsky-Desir, S Kannoth, M Shafiq, C Zhang, S Albrecht, A Azan, E C Chambers, M Qian, P Sheffield and 2 more

Abstract read
In one paragraph

Article in Research report (Health Effects Institute), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

J A StingoneDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.
S Lovinsky-DesirDivision of Pediatric Pulmonology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
S KannothDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.
M ShafiqDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.
C ZhangDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.
S AlbrechtDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.
A AzanDepartment of Population Health, NYU Grossman School of Medicine, New York, NY, USA.
E C ChambersDivision of Research, Albert Einstein College of Medicine, Bronx, NY, USA.
M QianDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.
P SheffieldDepartment of Environmental Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
A B ThompsonDepartment of Community Health Sciences, SUNY Downstate School of Public Health, Brooklyn, NY, USA.
J W BaidalDepartment of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA.

Funding

Research Training Program in Pediatric ExposomicsT32HD049311 · NICHD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KECIA Nicole CARROLL, Robert O Wright · 2007 to 2026
$7.4M
NICHD NIH HHS T32 HD049311
6 · The paper itself

Abstract

introductionDetermining whether chronic exposure to air pollution contributes to observed disparities in COVID-19 outcomes requires integrating multiple determinants of patient vulnerability to COVID-19, given the complex interactions that contribute to health disparities. Exposure to adverse social and structural factors heightens vulnerability to environmental exposures, potentially resulting in increased risk of unfavorable COVID-19 outcomes. Additionally, as populations are often exposed to various co-occurring adverse factors in the setting of disinvested neighborhoods and communities, examining such factors individually may not be sufficient to fully understand how they may modify the effects of air pollutant exposures. In an effort to explain COVID-19-related disparities observed in New York City (NYC

methodsWe used harmonized electronic health record (EHR) data from five healthcare systems in NYC to derive a study population of hospitalized or emergency department (ED) patients diagnosed with COVID-19 from March 1, 2020, through February 28, 2021, who had a NYC zip code of residence. To reduce potential selection bias, we also constructed a subset of the study population restricted to patients with residential zip codes in the typical catchment area of the hospitals affiliated with the EHR data repository. We estimated air pollutant concentrations for fine particulate matter (PM

resultsExposures to NO

conclusionsWhen limiting to individuals in the hospital's typical catchment areas, the observed positive associations between air pollutant exposures and COVID-19-related morbidities such as ARDS, pneumonia, and use of dialysis were strongest in areas with higher neighborhood-level environmental vulnerability. Inverse associations between air pollutant exposures and severe outcomes like death and use of mechanical ventilation were unexpected findings that highlighted challenges in examining such associations at the population level in NYC.

Indexed as

Air PollutantsAir PollutionCOVID-19Environmental ExposureEthnicityHealth Status DisparitiesHospitalizationRacial GroupsAdultAgedFemaleHumansMaleMiddle AgedNew York CityParticulate MatterAir PollutantsParticulate Matter

Identifiers

PMID41316683
PMCPMC12663533

What Socratic holds

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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 Socratic graph.