Evidence mapPaperPMID 39062135Full record

ArticleBiomedicines2024

Air Pollution Increases Risk of Occurrence of Intracerebral Haemorrhage but Not of Subarachnoid Haemorrhage: Time-Series Cross-Sectional Study.

Radosław Czernych, Grzegorz Kozera, Artur Jerzy Badyda, Leszek Bieniaszewski, Paweł Zagożdżon

Abstract read
In one paragraph

Article in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Observational
  2. Ambient versus household PMFrontiers in public health · 2025
    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

5 authors.

Radosław CzernychDepartment of Hygiene and Epidemiology, Faculty of Medicine, Medical University of Gdańsk, 80-210 Gdańsk, Poland.ORCID 0000-0003-4267-9595
Grzegorz KozeraCentre of Medical Simulations, Medical University of Gdańsk, 80-204 Gdańsk, Poland.ORCID 0000-0001-7704-2434
Artur Jerzy BadydaDepartment of Informatics and Environment Quality Research, Faculty of Building Services, Hydro- and Environmental Engineering, Warsaw University of Technology, 01-604 Warsaw, Poland.ORCID 0000-0001-5971-9683
Leszek BieniaszewskiCentre of Medical Simulations, Medical University of Gdańsk, 80-204 Gdańsk, Poland.
Paweł ZagożdżonDepartment of Hygiene and Epidemiology, Faculty of Medicine, Medical University of Gdańsk, 80-210 Gdańsk, Poland.ORCID 0000-0002-2809-0955

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Haemorrhagic strokes (HS), including intracerebral (ICH) and subarachnoid haemorrhages (SAH), account for approximately 10-15% of strokes worldwide but are associated with worse functional outcomes and higher rates of mortality, and financial burden than ischemic stroke. There is evidence that confirmed poor air quality may increase the incidence of haemorrhagic strokes. The aim of our study was to evaluate the association between individual ambient air pollutants and the risk of haemorrhagic stroke in an urban environment without high levels of air pollution. (2) Methods: A time-series cross-sectional study design was used. A daily air pollution concentration (Agency of Regional Air Quality Monitoring in the Gdansk Metropolitan Area) and incidence of haemorrhagic strokes (National Health Fund) were obtained and covered the time period from 1 January 2014 to 31 December 2018. A generalised additive model with Poisson regression was used to estimate the associations between 24-h mean concentrations of SO

Indexed as

air pollutiongaseous pollutantshaemorrhagic strokeintracerebral strokeparticulate mattersubarachnoid stroke

Identifiers

PMID39062135
PMCPMC11274972

What Socratic holds

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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 Socratic graph.