Evidence map›Paper›PMID 36920446›Full record

ArticleEnvironmental health perspectives2023

Using Parametric g-Computation to Estimate the Effect of Long-Term Exposure to Air Pollution on Mortality Risk and Simulate the Benefits of Hypothetical Policies: The Canadian Community Health Survey Cohort (2005 to 2015).

Chen Chen, Hong Chen, Aaron van Donkelaar, Richard T Burnett, Randall V Martin, Li Chen, Michael Tjepkema, Megan Kirby-McGregor, Yi Li, Jay S Kaufman and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

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  7. Estimating the Effects of Hypothetical AmbientEnvironmental health perspectives · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 2 countries.

Chen ChenScripps Institution of Oceanography, University of California, San Diego, La Jolla, California, USA.ORCID 0000-0002-0632-946X
Hong ChenEnvironmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada.
Aaron van DonkelaarDepartment of Energy, Environmental, and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri, USA.
Richard T BurnettEnvironmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada.
Randall V MartinDepartment of Energy, Environmental, and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri, USA.
Li ChenEnvironmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada.
Michael TjepkemaHealth Analysis Division, Statistics Canada, Ottawa, Ontario, Canada.
Megan Kirby-McGregorDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada.
Yi LiDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada.
Jay S KaufmanDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada.
Tarik BenmarhniaScripps Institution of Oceanography, University of California, San Diego, La Jolla, California, USA.
Health Canada · CAMcGill University · CAScripps Institution of Oceanography · USWashington University in St. Louis · USStatistics Canada · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNumerous epidemiological studies have documented the adverse health impact of long-term exposure to fine particulate matter [particulate matter

methodWe applied the parametric g-computation to estimate the cumulative risks of nonaccidental death under different hypothetical intervention strategies targeting long-term exposure to

resultsAll hypothetical intervention strategies explored led to lower 11-y cumulative mortality risks than the estimated value under the natural course without intervention, with the smallest reduction of 0.20 per 1,000 participants (95% CI: 0.06, 0.34) under the threshold of DISCUSSION: We found evidence that any intervention further reducing the long-term exposure to

Indexed as

Air PollutantsAir PollutionCanadaEnvironmental ExposureHealth SurveysHumansParticulate MatterPublic HealthReproducibility of ResultsAir PollutantsParticulate Matter

Identifiers

PMID36920446
PMCPMC10016347
OpenAlexW4324311221

What OpenQuestion holds

Textmetadata
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.