ArticleJournal of exposure science & environmental epidemiology2018
Development of a modeling approach to estimate indoor-to-outdoor sulfur ratios and predict indoor PM
Article in Journal of exposure science & environmental epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Indoor and ambient black carbon and fine particulate matter associations with blood biomarkers in COPD patients.The Science of the total environment · 2024Article
- Indoor (residential) and ambient particulate matter associations with urinary oxidative stress biomarkers in a COPD cohort.The Science of the total environment · 2023Article
- Personal and community-level exposure to air pollution and daily changes in respiratory symptoms and oxygen saturation among adults with COPD.Hygiene and environmental health advances · 2023Article
- Particle radioactivity from radon decay products and reduced pulmonary function among chronic obstructive pulmonary disease patients.Environmental research · 2023Article
- Modification of associations between indoor particulate matter and systemic inflammation in individuals with COPD.Environmental research · 2022Article
- Article
- Development of Hourly Indoor PMInternational journal of environmental research and public health · 2020Article
- Short-term exposures to particulate matter gamma radiation activities and biomarkers of systemic inflammation and endothelial activation in COPD patients.Environmental research · 2020Article
- Indoor Particle Alpha Radioactivity Origins in Occupied Homes.Aerosol and air quality research · 2020Article
- Article
- Short-term effects of particle gamma radiation activities on pulmonary function in COPD patients.Environmental research · 2019Article
- Spatiotemporal Variations of Indoor PMInternational journal of environmental research and public health · 2019Article
- Effects of Indoor and Ambient Black Carbon andEnvironmental health perspectives · 2018Article
- Indoor black carbon and biomarkers of systemic inflammation and endothelial activation in COPD patients.Environmental research · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The effects of indoor air pollution on human health have drawn increasing attention among the scientific community as individuals spend most of their time indoors. However, indoor air sampling is labor-intensive and costly, which limits the ability to study the adverse health effects related to indoor air pollutants. To overcome this challenge, many researchers have attempted to predict indoor exposures based on outdoor pollutant concentrations, home characteristics, and weather parameters. Typically, these models require knowledge of the infiltration factor, which indicates the fraction of ambient particles that penetrates indoors. For estimating indoor fine particulate matter (PM
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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 OpenQuestion graph.