Evidence map›Paper›PMID 31162280›Full record

Observational studyEpidemiology (Cambridge, Mass.)2019

Accountability Assessment of Health Improvements in the United States Associated with Reduced Coal Emissions Between 2005 and 2012.

Lucas R F Henneman, Christine Choirat, And Corwin M Zigler

Abstract readObservational Study
In one paragraph

Observational study in Epidemiology (Cambridge, Mass.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Reductions in Respiratory Hospital Visits after a Coal Coking Plant Closure: A Natural Experiment.American journal of respiratory and critical care medicine · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Inequitable Exposures to U.S. Coal Power Plant-RelatedEnvironmental health perspectives · 2023
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
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

3 authors.

Lucas R F HennemanFrom the Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA.
Christine Choirat
And Corwin M Zigler

Funding

Causal Inference with Interference for Evaluating Air Quality PoliciesR01ES026217 · NIEHS · UNIVERSITY OF TEXAS AT AUSTIN · PI ZIGLER, CORWIN MATTHEW · 2016 to 2021
$2.2M
Intramural EPA EPA999999NIEHS NIH HHS R01 ES026217
6 · The paper itself

Abstract

backgroundNational, state, and local policies contributed to a 65% reduction in sulfur dioxide emissions from coal-fired power plants between 2005 and 2012 in the United States, providing an opportunity to directly quantify public health benefits attributable to these reductions under an air pollution accountability framework.

methodsWe estimate ZIP code-level changes in two different-but related-exposure metrics: total PM2.5 concentrations and exposure to coal-fired power plant emissions. We associate changes in 10 health outcome rates among approximately 30 million US Medicare beneficiaries with exposure changes between 2005 and 2012 using two difference-in-difference regression approaches designed to mitigate observed and unobserved confounding.

resultsRates per 10,000 person-years of six cardiac and respiratory health outcomes-all cardiovascular disease, chronic obstructive pulmonary disorder, cardiovascular stroke, heart failure, ischemic heart disease, and respiratory tract infections-decreased by between 7.89 and 1.95 per (Equation is included in full-text article.)decrease in PM2.5, with comparable decreases in coal exposure leading to slightly larger rate decreases. Results for acute myocardial infarction, heart rhythm disorders, and peripheral vascular disease were near zero and/or mixed between the various exposure metrics and analyses. A secondary analysis found that nonlinearities in relationships between changing health outcome rates and coal exposure may explain differences in their associations.

conclusionsThe direct analyses of emissions reductions estimate substantial health benefits via coal power plant emission and PM2.5 concentration reductions. Differing responses associated with changes in the two exposure metrics underscore the importance of isolating source-specific impacts from those due to total PM2.5 exposure.

Indexed as

CoalHealth StatusAir PollutantsAir PollutionCardiovascular DiseasesDatabases, FactualEnvironmental ExposureEnvironmental MonitoringHumansParticulate MatterPower PlantsSulfur DioxideUnited StatesAir PollutantsCoalParticulate MatterSulfur Dioxide

Identifiers

PMID31162280
PMCPMC6684053

What OpenQuestion holds

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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.