Evidence map›Paper›PMID 32558888›Full record

ArticleAmerican journal of epidemiology2020

Causal Effects of Air Pollution on Mortality Rate in Massachusetts.

Yaguang Wei, Yan Wang, Xiao Wu, Qian Di, Liuhua Shi, Petros Koutrakis, Antonella Zanobetti, Francesca Dominici, Joel D Schwartz

Abstract read
In one paragraph

Article in American journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 4 pooled it
–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

50 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
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  7. Article
  8. Article
  9. Article
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  11. Nationwide Machine Learning-Ensemble PMEnvironment & health (Washington, D.C.) · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Short-term ambient PMEnvironmental epidemiology (Philadelphia, Pa.) · 2025
    Article
  16. Article
  17. Long-term exposure to smoke PMEnvironment international · 2025
    Article
  18. Article
  19. Methods for Estimating the Exposure-Response Curve to Inform the New Safety Standards for Fine Particulate Matter.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2025
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Yaguang Wei
Yan Wang
Xiao Wu
Qian Di
Liuhua Shi
Petros Koutrakis
Antonella Zanobetti
Francesca Dominici
Joel D Schwartz

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUSAN A KORRICK · 1985 to 2026
$44.6M
Pilot Project ProgramP30ES019776 · NIEHS · EMORY UNIVERSITY · PI Carmen Joseph Marsit · 2013 to 2026
$22.6M
Project 3: Cumulative Risk and Geospatial Health Disparities Related to Chemical and Non-Chemical Stressor ExposuresP50MD010428 · NIMHD · HARVARD SCHOOL OF PUBLIC HEALTH · PI LADEN, FRANCINE · 2015 to 2020
$4.0M
Cardiovascular Health and Air Pollution: A National StudyR01ES024332 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI ZANOBETTI, ANTONELLA · 2015 to 2018
$2.5M
NIEHS NIH HHS P30 ES000002NIEHS NIH HHS P30 ES019776NIEHS NIH HHS R01 ES024332NIMHD NIH HHS P50 MD010428
6 · The paper itself

Abstract

Air pollution epidemiology studies have primarily investigated long- and short-term exposures separately, have used multiplicative models, and have been associational studies. Implementing a generalized propensity score adjustment approach with 3.8 billion person-days of follow-up, we simultaneously assessed causal associations of long-term (1-year moving average) and short-term (2-day moving average) exposure to particulate matter with an aerodynamic diameter less than or equal to 2.5 μm (PM2.5), ozone, and nitrogen dioxide with all-cause mortality on an additive scale among Medicare beneficiaries in Massachusetts (2000-2012). We found that long- and short-term PM2.5, ozone, and nitrogen dioxide exposures were all associated with increased mortality risk. Specifically, per 10 million person-days, each 1-μg/m3 increase in long- and short-term PM2.5 exposure was associated with 35.4 (95% confidence interval (CI): 33.4, 37.6) and 3.04 (95% CI: 2.17, 3.94) excess deaths, respectively; each 1-part per billion (ppb) increase in long- and short-term ozone exposure was associated with 2.35 (95% CI: 1.08, 3.61) and 2.41 (95% CI: 1.81, 2.91) excess deaths, respectively; and each 1-ppb increase in long- and short-term nitrogen dioxide exposure was associated with 3.24 (95% CI: 2.75, 3.77) and 5.60 (95% CI: 5.24, 5.98) excess deaths, respectively. Mortality associated with long-term PM2.5 and ozone exposure increased substantially at low levels. The findings suggested that air pollution was causally associated with mortality, even at levels below national standards.

Indexed as

AgedAged, 80 and overAir PollutantsAir PollutionCause of DeathEnvironmental ExposureFemaleHumansMaleMassachusettsMedicareNitrogen DioxideOzoneParticulate MatterPropensity ScoreUnited StatesAir PollutantsNitrogen DioxideOzoneParticulate Matterair pollutionbig data computingcausalitygeneralized propensity scorelinear probability model

Identifiers

PMID32558888
PMCPMC7604530

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.