Evidence map›Paper›PMID 38599849›Full record

ArticleEnvironmental health and preventive medicine2024

COVID-19 fatality and DALYs, and associated metabolic disorders and ambient air pollutants in pre-Omicron era of the pandemic: an international comparative study.

Nlandu-Roger Ngatu, Daniel-Kuezina Tonduangu, Emmanuel Munyeshyaka, Tomohiro Hirao, Georges-Matondo Balenda, Yusuke Yamadori, Takayuki Deguchi, Berthier Nsadi-Fwene, Jose-Nzunzu Lami, Steeve Akumwami and 6 more

Open access · goldAbstract read
In one paragraph

Article in Environmental health and preventive medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

16 authors at 3 institutions in 2 countries.

Nlandu-Roger NgatuDepartment of Public Health, Kagawa University Faculty of Medicine.
Daniel-Kuezina TonduanguDepartment of Internal Medicine, Faculty of Medicine, University of Kinshasa.
Emmanuel MunyeshyakaDepartment of Microbiology, Kagawa University Faculty of Medicine.
Tomohiro HiraoDepartment of Public Health, Kagawa University Faculty of Medicine.
Georges-Matondo BalendaSurgery Unit, Louis Pasteur Hospital.
Yusuke YamadoriDepartment of Anesthesiology, Kagawa University Faculty of Medicine.
Takayuki DeguchiDepartment of Public Health, Kagawa University Faculty of Medicine.
Berthier Nsadi-FweneDepartment of Surgery, Faculty of Medicine, University of Kinshasa.
Jose-Nzunzu LamiFaculty of Pharmaceutical Sciences, University of Kinshasa.
Steeve AkumwamiDepartment of Anesthesiology, Kagawa University Faculty of Medicine.
Kanae KandaDepartment of Public Health, Kagawa University Faculty of Medicine.
Akitsu MurakamiOncology and Palliative Care Center, Kagawa University Faculty of Medicine.
Marie-Claire YandjuDepartment of Biology, Faculty of Sciences, University of Kinshasa.
Dieudonne-Tshipukane NyembueDepartment of Otorhinolaryngology, Faculty of Medicine, University of Kinshasa.
Antoine TshimpiDepartment of Internal Medicine, Faculty of Medicine, University of Kinshasa.
Stanislas-Okitotsho WembonyamaSchool of Public Health, University of Goma.
Kagawa University · JPUniversity of Kinshasa · CDUniversity of Goma · CD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAir pollution and a number of metabolic disorders have been reported to increase the risk of severe COVID-19 outcomes. This study explored the association between severe COVID-19 outcomes, metabolic disorders and environmental air pollutants, at regional level, across 38 countries.

methodsWe conducted an ecological study using COVID-19 data related to countries of the Organization for Economic Cooperation and Development (OECD), with an estimated population of 1.4 billion. They were divided into 3 regions: 1. Europe & Middle east; 2. Americas (north, central & south America); 3. East-Asia & West Pacific. The outcome variables were: COVID-19 case-fatality rate (CFR) and disability-adjusted life years (DALYs) at regional level. Freely accessible datasets related to regional DALYs, demographics and other environmental pollutants were obtained from OECD, WHO and the World in Data websites. Generalized linear model (GLM) was performed to determine the regional determinants of COVID-19 CFR and DALYs using the aggregate epidemiologic data (Dec. 2019-Dec. 2021).

resultsOverall cumulative deaths were 65,000 per million, for mean CFR and DALYs of 1.31 (1.2)% and 17.35 (2.3) years, respectively. Globally, GLM analysis with adjustment for elderly population rate, showed that COVID-19 CFR was positively associated with atmospheric PM

conclusionThese findings confirm that diabetes and air pollution increase the risk of disability and fatality due to COVID-19, with disparities in terms of their impact. They suggest that efficient preventive and management programs for diabetes and air pollution countermeasures would have curtailed severe COVID-19 outcome rates.

Indexed as

Air PollutantsCOVID-19Diabetes MellitusEnvironmental PollutantsMetabolic DiseasesAgedDisability-Adjusted Life YearsHumansPandemicsParticulate MatterAir PollutantsEnvironmental PollutantsParticulate MatterAir pollutionCOVID-19Disability-adjusted life yearsMetabolic disorder

Identifiers

PMID38599849
PMCPMC11016372
OpenAlexW4394586236

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.