Evidence map›Paper›PMID 33121457›Full record

ArticleBMC public health2020

Evaluation of associations between asthma exacerbations and distance to roadways using geocoded electronic health records data.

Jingyi He, Mohsen Ghiasi Ghorveh, Jillian H Hurst, Monica Tang, Brooke Alhanti, Jason E Lang, Benjamin A Goldstein

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
0.3field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. 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

7 authors at 3 institutions in 1 country.

Jingyi HeDepartment of Biostatistics & Bioinformatics, Duke University, 2424 Erwin Road, Durham, NC, 27705, USA.
Mohsen Ghiasi GhorvehDuke Clinical Research Institute, Durham, NC, USA.
Jillian H HurstChildren's Health & Discovery Initiative, Duke University, Durham, NC, USA.
Monica TangDepartment of Medicine, University California, San Francisco, USA.
Brooke AlhantiDuke Clinical Research Institute, Durham, NC, USA.
Jason E LangDuke Clinical Research Institute, Durham, NC, USA.
Benjamin A GoldsteinDepartment of Biostatistics & Bioinformatics, Duke University, 2424 Erwin Road, Durham, NC, 27705, USA. ben.goldstein@duke.edu.ORCID http://orcid.org/0000-0001-5261-3632
Duke University · USClinical Research Institute · USUniversity of California, San Francisco · US

Funding

Duke CTSA (Composite)UL1TR001117 · NCATS · DUKE UNIVERSITY · PI BOULWARE, LEIGH E, LI, JENNIFER S · 2013 to 2017
$41.3M
Multifactorial spatiotemporal analyses to evaluate environmental triggers and patient-level clinical characteristics of severe asthma exacerbations in childrenR21HL145415 · NHLBI · DUKE UNIVERSITY · PI GOLDSTEIN, BENJAMIN ALAN, LANG, JASON E. · 2019 to 2020
$241k
NCATS NIH HHS UL1TR001117NHLBI NIH HHS R21 HL145415NHLBI NIH HHS R21-HL145415
6 · The paper itself

Abstract

backgroundAsthma exacerbations in children often require medications, urgent care, and hospitalization. Multiple environmental triggers have been associated with asthma exacerbations, including particulate matter 2.5 (PM2.5) and ozone, which are primarily generated by motor vehicle exhaust. There is mixed evidence as to whether proximity to highways increases risk of asthma exacerbations.

methodsTo evaluate the impact of highway proximity, we assessed the association between asthma exacerbations and the distance of child's primary residence to two types of roadways in Durham County, North Carolina, accounting for other patient-level factors. We abstracted data from the Duke University Health System electronic health record (EHR), identifying 6208 children with asthma between 2014 and 2019. We geocoded each child's distance to roadways (both 35 MPH+ and 55 MPH+). We classified asthma exacerbation severity into four tiers and fitted a recurrent event survival model to account for multiple exacerbations.

resultsThere was a no observed effect of residential distance from 55+ MPH highway (Hazard Ratio: 0.98 (95% confidence interval: 0.94, 1.01)) and distance to 35+ MPH roadway (Hazard Ratio: 0.98 (95% confidence interval: 0.83, 1.15)) and any asthma exacerbation. Even those children living closest to highways (less 0.25 miles) had no increased risk of exacerbation. These results were consistent across different demographic strata.

conclusionsWhile the results were non-significant, the characteristics of the study sample - namely farther distance to roadways and generally good ambient environmental pollution may contribute to the lack of effect. Compared to previous studies, which often relied on self-reported measures, we were able to obtain a more objective assessment of outcomes. Overall, this work highlights the opportunity to use EHR data to study environmental impacts on disease.

Indexed as

Air PollutantsAir PollutionAsthmaChildElectronic Health RecordsEnvironmental ExposureHumansNorth CarolinaVehicle EmissionsAir PollutantsVehicle EmissionsAir pollutionAsthmaElectronic health recordsSurvival analysis

Identifiers

PMID33121457
PMCPMC7599107
OpenAlexW3096534452

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.