Evidence map›Paper›PMID 33800362›Full record

ArticleInternational journal of environmental research and public health2021

Exposure to Perfluoroalkyl Substances and Mortality for COVID-19: A Spatial Ecological Analysis in the Veneto Region (Italy).

Dolores Catelan, Annibale Biggeri, Francesca Russo, Dario Gregori, Gisella Pitter, Filippo Da Re, Tony Fletcher, Cristina Canova

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 49 citations in OpenAlex.

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  10. Occurrence of COVID-19 and serumGlobal epidemiology · 2024
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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

8 authors at 4 institutions in 2 countries.

Dolores CatelanDepartment of Statistics, Computer Science, Applications 'G. Parenti' (DiSIA), University of Florence, 50134 Firenze, Italy.
Annibale BiggeriDepartment of Statistics, Computer Science, Applications 'G. Parenti' (DiSIA), University of Florence, 50134 Firenze, Italy.
Francesca RussoRegional Directorate of Prevention, Food Safety, Veterinary Public Health, Regione del Veneto, 30123 Venice, Italy.
Dario GregoriUnit of Biostatistics, Epidemiology and Public Health, Department of Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35131 Padova, Italy.ORCID 0000-0001-7906-0580
Gisella PitterScreening and Health Impact Assessment Unit, Azienda Zero, Regione del Veneto, 35131 Padova, Italy.
Filippo Da ReRegional Directorate of Prevention, Food Safety, Veterinary Public Health, Regione del Veneto, 30123 Venice, Italy.
Tony FletcherDepartment of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, London WC1H 9SH, UK.ORCID 0000-0003-3385-200X
Cristina CanovaUnit of Biostatistics, Epidemiology and Public Health, Department of Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35131 Padova, Italy.
Regione del Veneto · ITUniversity of Florence · ITUniversity of Padua · ITRoyal Society of Tropical Medicine and Hygiene · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the context of the COVID-19 pandemic, there is interest in assessing if per- and polyfluoroalkyl substances (PFAS) exposures are associated with any increased risk of COVID-19 or its severity, given the evidence of immunosuppression by some PFAS. The objective of this paper is to evaluate at the ecological level if a large area (Red Zone) of the Veneto Region, where residents were exposed for decades to drinking water contaminated by PFAS, showed higher mortality for COVID-19 than the rest of the region.

methodsWe fitted a Bayesian ecological regression model with spatially and not spatially structured random components on COVID-19 mortality at the municipality level (period between 21 February and 15 April 2020). The model included education score, background all-cause mortality (for the years 2015-2019), and an indicator for the Red Zone. The two random components are intended to adjust for potential hidden confounders.

resultsThe COVID-19 crude mortality rate ratio for the Red Zone was 1.55 (90% Confidence Interval 1.25; 1.92). From the Bayesian ecological regression model adjusted for education level and baseline all-cause mortality, the rate ratio for the Red Zone was 1.60 (90% Credibility Interval 0.94; 2.51).

conclusionIn conclusion, we observed a higher mortality risk for COVID-19 in a population heavily exposed to PFAS, which was possibly explained by PFAS immunosuppression, bioaccumulation in lung tissue, or pre-existing disease being related to PFAS.

Indexed as

Alkanesulfonic AcidsCOVID-19FluorocarbonsBayes TheoremCitiesHumansItalyPandemicsSARS-CoV-2Alkanesulfonic AcidsFluorocarbonsCOVID-19 mortalityecological analysisepidemiological surveillancehierarchical Bayesian modelsPFAS

Identifiers

PMID33800362
PMCPMC7967461
OpenAlexW3133988412

What OpenQuestion holds

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LicenceCC BY
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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.