Evidence map›Paper›PMID 37853365›Full record

ArticleBMC pulmonary medicine2023

Long-term effects of air pollutants on respiratory and cardiovascular mortality in a port city along the Adriatic sea.

Federico Mei, Matteo Renzi, Martina Bonifazi, Floriano Bonifazi, Nicola Pepe, Alessio D'Allura, Giuseppe Brusasca, Giovanni Viegi, Francesco Forastiere

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. 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

9 authors.

Federico Mei *Department of Biomedical Sciences and Public Health, Marche Polytechnic University, Ancona, Italy. f.mei@univpm.it.
Matteo Renzi *Department of Epidemiology of Lazio Region, ASL Roma 1, Rome, Italy. m.renzi@deplazio.it.
Martina BonifaziDepartment of Biomedical Sciences and Public Health, Marche Polytechnic University, Ancona, Italy.
Floriano BonifaziHonorary President Associazione Allergologi Immunologi Italiani Territoriali E Ospedalieri, , Firenze, Italy.
Nicola PepeARIANET S.R.L., Milan, Italy.
Alessio D'AlluraARIANET S.R.L., Milan, Italy.
Giuseppe BrusascaARIANET S.R.L., Milan, Italy.
Giovanni ViegiInstitute of Clinical Physiology, National Research Council (CNR), Pisa, Italy.
Francesco ForastiereInstitute of Translational Pharmacology, National Research Council (CNR), Palermo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundShipping and port-related air pollution has a significant health impact on a global scale. The present study aimed to assess the mortality burden attributable to long-term exposure to ambient particulate matter (PM

methodsExposure to air pollutants was derived by dispersion models. The relationship between the long-term exposure of air pollution exposure and cause-specific mortality was evaluated by Poisson regression models, after adjustment for gender, age and socioeconomic status. Results are expressed as percent change of risk (and relative 95% confidence intervals) per 5 unit increases in the exposures. The health impact on the annual number of premature cause-specific deaths was also assessed.

resultsPM

conclusionsOur study confirms the long-term health effects of PM and NO

Indexed as

Air PollutantsAir PollutionCardiovascular DiseasesEnvironmental ExposureHumansMortalityNitrogen DioxideParticulate MatterAir PollutantsNitrogen DioxideParticulate MatterMortalityNitrogen dioxidePM10PM2.5PortWHO AQGs

Identifiers

PMID37853365
PMCPMC10585890

What OpenQuestion holds

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Registered trials

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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.