Evidence map›Paper›PMID 38030155›Full record

Observational studyBMJ (Clinical research ed.)2023

Air pollution deaths attributable to fossil fuels: observational and modelling study.

Jos Lelieveld, Andy Haines, Richard Burnett, Cathryn Tonne, Klaus Klingmüller, Thomas Münzel, Andrea Pozzer

Abstract readObservational Study
In one paragraph

Observational study in BMJ (Clinical research ed.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing 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

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

  1. Pooled it
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  15. Chronic PMScientific reports · 2026
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8 more citing papers are in PubMed but not listed here.

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.

Jos LelieveldAtmospheric Chemistry Department, Max Planck Institute for Chemistry, Mainz, Germany jos.lelieveld@mpic.de.ORCID 0000-0001-6307-3846
Andy HainesCentre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0002-8053-4605
Richard BurnettInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Cathryn TonneBarcelona Institute for Global Health and Pompeu Fabra University, Barcelona, Spain.ORCID 0000-0003-3919-8264
Klaus KlingmüllerAtmospheric Chemistry Department, Max Planck Institute for Chemistry, Mainz, Germany.
Thomas MünzelDepartment of Cardiology, Cardiology I, University Medical Center Mainz, Mainz, Germany.ORCID 0000-0001-5503-4150
Andrea PozzerAtmospheric Chemistry Department, Max Planck Institute for Chemistry, Mainz, Germany.ORCID 0000-0003-2440-6104

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectivesTo estimate all cause and cause specific deaths that are attributable to fossil fuel related air pollution and to assess potential health benefits from policies that replace fossil fuels with clean, renewable energy sources.

designObservational and modelling study.

methodsAn updated atmospheric composition model, a newly developed relative risk model, and satellite based data were used to determine exposure to ambient air pollution, estimate all cause and disease specific mortality, and attribute them to emission categories. DATA SOURCES: Data from the global burden of disease 2019 study, observational fine particulate matter and population data from National Aeronautics and Space Administration (NASA) satellites, and atmospheric chemistry, aerosol, and relative risk modelling for 2019.

resultsGlobally, all cause excess deaths due to fine particulate and ozone air pollution are estimated at 8.34 million (95% confidence interval 5.63 to 11.19) deaths per year. Most (52%) of the mortality burden is related to cardiometabolic conditions, particularly ischaemic heart disease (30%). Stroke and chronic obstructive pulmonary disease both account for 16% of mortality burden. About 20% of all cause mortality is undefined, with arterial hypertension and neurodegenerative diseases possibly implicated. An estimated 5.13 million (3.63 to 6.32) excess deaths per year globally are attributable to ambient air pollution from fossil fuel use and therefore could potentially be avoided by phasing out fossil fuels. This figure corresponds to 82% of the maximum number of air pollution deaths that could be averted by controlling all anthropogenic emissions. Smaller reductions, rather than a complete phase-out, indicate that the responses are not strongly non-linear. Reductions in emission related to fossil fuels at all levels of air pollution can decrease the number of attributable deaths substantially. Estimates of avoidable excess deaths are markedly higher in this study than most previous studies for these reasons: the new relative risk model has implications for high income (largely fossil fuel intensive) countries and for low and middle income countries where the use of fossil fuels is increasing; this study accounts for all cause mortality in addition to disease specific mortality; and the large reduction in air pollution from a fossil fuel phase-out can greatly reduce exposure.

conclusionPhasing out fossil fuels is deemed to be an effective intervention to improve health and save lives as part the United Nations' goal of climate neutrality by 2050. Ambient air pollution would no longer be a leading, environmental health risk factor if the use of fossil fuels were superseded by equitable access to clean sources of renewable energy.

Indexed as

Air PollutantsAir PollutionOzoneFossil FuelsHumansIncomeParticulate MatterAir PollutantsFossil FuelsOzoneParticulate Matter

Identifiers

PMID38030155
PMCPMC10686100

What OpenQuestion holds

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LicenceCC BY-NC
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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.