ArticleAnnals of the American Thoracic Society2018
Health Services Utilization in Asthma Exacerbations and PM
Article in Annals of the American Thoracic Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed, 20 citations in OpenAlex.
- Valley Fever: Fine Mineral Dust Modeling Points to High-Risk Regions and Seasons in California.Environmental health perspectives · 2025Article
- Relation between air quality and asthma in high-altitude places, La Paz, Bolivia (3,600 m a.s.l.)Biomedica : revista del Instituto Nacional de Salud · 2024Article
- Association Between Particulate Matter Pollutants and Ophthalmology Visits for Ocular Surface Irritation and Allergy.Clinical ophthalmology (Auckland, N.Z.) · 2024Article
- Influence of Rural Environmental Factors in Asthma.Immunology and allergy clinics of North America · 2022Review
- Utilizing Real-time Technology to Assess the Impact of Home Environmental Exposures on Asthma Symptoms: Protocol for an Observational Pilot Study.JMIR research protocols · 2022Article
- Respiratory and allergic health effects in children living near agriculture: A review.The Science of the total environment · 2022Review
- Advances and novel developments in environmental influences on the development of atopic diseases.Allergy · 2020Review
- Associations Between Dust Storms and Intensive Care Unit Admissions in the United States, 2000-2015.GeoHealth · 2020Article
- Occupational exposures and exacerbations of asthma and COPD-A general population study.PloS one · 2020Article
Corrections and comments
- Commented on byRural PM2018
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
rationaleThe San Luis Valley in rural Colorado often has elevated levels of ambient particulate matter. To date little is known about the impact of ambient particulate matter levels and medical care utilization due to asthma exacerbation in rural communities.
objectivesWe investigated the impact of ambient particulate matter concentrations on emergency/urgent visits and hospitalizations for asthma in a rural community.
methodsDaily ambient particulate matter concentrations from an air quality monitor in the San Luis Valley (2003-2012) were obtained from the state health department. Deidentified data for emergency/urgent visits with a diagnosis code for asthma were collected from the local health care system organization. A generalized linear model using splines and employing generalized estimating equations for correlated measures over time was used to examine the association between daily counts of emergency/urgent visits for asthma and 3- to 5-day averaged ambient particulate matter concentrations.
resultsFor each 15-μg/m
conclusionsWe observed associations between ambient air levels of particulate matter with a diameter less than 10 μm and emergency/urgent care visits and hospitalization counts in a rural U.S. community prone to dust storms and Environmental Protection Agency exceedances.
Indexed as
Identifiers
What Socratic holds
Registered trials
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.