Evidence map›Paper›PMID 32565497›Full record

ArticleJournal of epidemiology2021

Association Between Traffic Count and Cardiovascular Mortality: A Prospective Cohort Study in Taiwan.

Wen-Chi Pan, Szu-Yu Yeh, Chih-Da Wu, Yen-Tsung Huang, Yu-Cheng Chen, Chien-Jen Chen, Hwai-I Yang

Abstract read
In one paragraph

Article in Journal of epidemiology, 2021. 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

7 authors.

Wen-Chi PanInstitute of Environmental and Occupational Health Sciences, National Yang-Ming University.ORCID http://orcid.org/0000-0002-0588-8083
Szu-Yu YehInstitute of Environmental and Occupational Health Sciences, National Yang-Ming University.
Chih-Da WuDepartment of Geomatics, National Cheng Kung University.
Yen-Tsung HuangInstitue of Statistical Science, Academia Sinica.
Yu-Cheng ChenNational Institution of Environmental Health Sciences, National Health Research Institute.
Chien-Jen ChenGenomics Research Center, Academia Sinica.
Hwai-I YangGenomics Research Center, Academia Sinica.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExposure to traffic-related pollution is positively associated with cardiovascular diseases (CVD), but little is known about how different sources of traffic pollution (eg, gasoline-powered cars, diesel-engine vehicles) contribute to CVD. Therefore, we evaluated the association between exposure to different types of engine exhaust and CVD mortality.

methodsWe recruited 12,098 participants from REVEAL-HBV cohort in Taiwan. The CVD mortality in 2000-2014 was ascertained by the Taiwan Death Certificates. Traffic pollution sources (2005-2013) were based on information provided by the Directorate General of Highway in 2005. Exposure to PM

resultsA total of 382 CVD mortalities were identified from 2000 to 2014. We found participants exposed to higher volumes of small car and truck exhausts had an increased CVD mortality. The adjusted hazard ratio (HR) was 1.10 for small cars (95% confidence interval [CI], 0.94-1.27; P-value = 0.23) and 1.24 for truck (95% CI, 1.03-1.51; P-value = 0.03) per one unit increment of the logarithm scale. The findings were still robust with further adjustment for different types of vehicles. A causal mediation analysis revealed PM

conclusionsExposure to exhaust from trucks or gasoline-powered cars is positively associated with CVD mortality, and air pollution may play a role in this association.

Indexed as

AdultAgedAutomobile DrivingCardiovascular DiseasesEnvironmental ExposureFemaleHumansMaleMiddle AgedProportional Hazards ModelsProspective StudiesTaiwanTraffic-Related PollutionVehicle EmissionsVehicle Emissionscardiovascular diseasesfine particulate mattermediation analysisTaiwantraffic

Identifiers

PMID32565497
PMCPMC8021879

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.