Evidence map›Paper›PMID 28237065›Full record

ArticleEnvironment international2017

An evaluation of the health benefits achieved at the time of an air quality intervention in three Israeli cities.

Lital Yinon, George Thurston

Abstract read
In one paragraph

Article in Environment international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. 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

2 authors.

Lital YinonDepartment of Environmental Medicine, New York University School of Medicine, United States. Electronic address: ly393@nyu.edu.
George ThurstonDepartment of Environmental Medicine, New York University School of Medicine, United States.

Funding

RESEARCH IN ENVIRONMENTAL HEALTH SCIENCES (CENTER GRANT)P30ES000260 · NIEHS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI COSTA, MAX · 1985 to 2020
$26.1M
NIEHS NIH HHS P30 ES000260
6 · The paper itself

Abstract

backgroundThe statistical association between increased exposure to air pollution and increased risk of morbidity and mortality is well established. However, documentation of the health benefits of lowering air pollution levels, which would support the biological plausibility of those past statistical associations, are not as well developed. A better understanding of the aftereffects of interventions to reduce air pollution is needed in order to: 1) better document the benefits of lowered air pollution; and, 2) identify the types of reductions that most effectively provide health benefits.

methodsThis study analyzes daily health and pollution data from three major cities in Israel that have undergone pollution control interventions to reduce sulfur emissions from combustion sources. In this work, the hypothesis tested is that transitions to cleaner fuels are accompanied by a decreased risk of daily cardiovascular and respiratory mortalities. Interrupted time series regression models are applied in order to test whether the cleaner air interventions are associated with a statistically significant reduction in mortality.

resultsIn the multi-city meta-analysis we found statistically significant reductions of 13.3% [CI -21.9%, -3.8%] in cardiovascular mortality, and a borderline significant (p=0.06) reduction of 19.0% [CI -35.1%, 1.1%] in total mortality.

conclusionsOverall, new experiential evidence is provided consistent with human health benefits being associated with interventions to reduce air pollution. The methods employed also provide an approach that may be applied elsewhere in the future to better document and optimize the health benefits of clean air interventions.

Indexed as

Models, TheoreticalAir PollutantsAir PollutionCardiovascular DiseasesCitiesHumansIsraelMaleMortalityParticulate MatterSeasonsSulfur DioxideTime FactorsAir PollutantsParticulate MatterSulfur Dioxide

Identifiers

PMID28237065
PMCPMC5771478

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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.