Evidence map›Paper›PMID 37322149›Full record

ArticleJournal of exposure science & environmental epidemiology2023

Burden of fine air pollution on mortality in the desert climate of Kuwait.

Barrak Alahmad, Jing Li, Souzana Achilleos, Fahd Al-Mulla, Ali Al-Hemoud, Petros Koutrakis

Abstract read
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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

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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

6 authors.

Barrak AlahmadDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA. balahmad@hsph.harvard.edu.ORCID 0000-0002-9523-9537
Jing LiInstitute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China.
Souzana AchilleosDepartment of Primary Care & Population Health, University of Nicosia Medical School, Nicosia, Cyprus.
Fahd Al-MullaDasman Diabetes Institute, Kuwait City, Kuwait.
Ali Al-HemoudEnvironment & Life Sciences Research Center, Kuwait Institute for Scientific Research, Kuwait City, Kuwait.
Petros KoutrakisDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMiddle Eastern desert countries like Kuwait are known for intense dust storms and enormous petrochemical industries affecting ambient air pollution. However, local health authorities have not been able to assess the health impacts of air pollution due to limited monitoring networks and a lack of historical exposure data.

objectiveTo assess the burden of PM

methodsWe analyzed the acute impact of fine particulate matter (PM

resultsThere was a total of 70,321 deaths during the study period of 16 years. The average urban PM IMPACT STATEMENT: The overwhelming prevalence of devastating dust storms and enormous petrochemical industries in the Gulf and the Middle East has intensified the urgency to address air pollution and its detrimental health effects. Alarmingly, the region's epidemiological research lags behind, hindered by a paucity of ground monitoring networks and historical exposure data. In response, we are harnessing the power of big data to generate predictive models of air pollution across time and space, providing crucial insights into the mortality burden associated with air pollution in this under-researched yet critically impacted area.

Indexed as

Air PollutantsAir PollutionAgedChildDesert ClimateDustHumansKuwaitMortalityParticulate MatterAir PollutantsDustParticulate MatterArabian PeninsulaDeathsGulfMiddle EastPM2.5

Identifiers

PMID37322149
PMCPMC10403355

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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.