Evidence map›Paper›PMID 39015250›Full record

ArticleEnvironmental research, health : ERH2024

Dust storms and cardiorespiratory emergency department visits in three Southwestern United States: application of a monitoring-based exposure metric.

Claire Rowan, Rohan R D'Souza, Xiaping Zheng, James Crooks, Kirk Hohsfield, Daniel Tong, Howard H Chang, Stefanie Ebelt

Abstract read
In one paragraph

Article in Environmental research, health : ERH, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Claire RowanDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America.ORCID https://orcid.org/0000-0002-4584-6937
Rohan R D'SouzaDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America.
Xiaping ZhengDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America.
James CrooksDivision of Biostatistics and Bioinformatics, National Jewish Health, Denver, CO, United States of America.
Kirk HohsfieldDivision of Biostatistics and Bioinformatics, National Jewish Health, Denver, CO, United States of America.ORCID https://orcid.org/0000-0002-6707-7913
Daniel TongDepartment of Atmospheric, Oceanic & Earth Sciences, George Mason University, Fairfax, VA, United States of America.
Howard H ChangDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America.
Stefanie EbeltDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America.ORCID https://orcid.org/0000-0003-4713-2337

Funding

Dust storms and emergency department visits in four southwestern US statesR21ES032344 · NIEHS · EMORY UNIVERSITY · PI CHANG, HOWARD H, CROOKS, JAMES L · 2021 to 2022
$453k
NIEHS NIH HHS R21 ES032344
6 · The paper itself

Abstract

Climate change is projected to increase the risk of dust storms, particularly in subtropical dryland, including the southwestern US. Research on dust storm's health impacts in the US is limited and hindered by challenges in dust storm identification. This study assesses the potential link between dust storms and cardiorespiratory emergency department (ED) visits in the southwestern US. We acquired data for 2005-2016 from eight IMPROVE (Interagency Monitoring of PROtected Visual Environments) sites in Arizona, California, and Utah. We applied a validated algorithm to identify dust storm days at each site. We acquired patient-level ED visit data from state agencies and ascertained visits for respiratory, cardiovascular, and cause-specific subgroups among patients residing in ZIP codes within 50 km of an IMPROVE site. Using a case-crossover design, we estimated short-term associations of ED visits and dust storms, controlling for temporally varying covariates. During 2005-2016, 40 dust storm days occurred at the eight IMPROVE sites. Mean PM

Indexed as

climatedustemergency department visitsmorbidityPM

Identifiers

PMID39015250
PMCPMC11247357

What OpenQuestion 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 OpenQuestion graph.