Evidence map›Paper›PMID 36438287›Full record

ArticleFrontiers in public health2022

City-scale assessment of long-term air quality impacts on the respiratory and cardiovascular health.

Libor Šulc, Petr Gregor, Jiří Kalina, Ondřej Mikeš, Tomáš Janoš, Pavel Čupr

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Long-Term Greenness Effects of Urban Forests to Reduce PMInternational journal of environmental research and public health · 2025
    Article
  4. Article
  5. 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

6 authors at 1 institution in 1 country.

Libor ŠulcRECETOX, Faculty of Science, Masaryk University, Brno, Czechia.
Petr GregorRECETOX, Faculty of Science, Masaryk University, Brno, Czechia.
Jiří KalinaRECETOX, Faculty of Science, Masaryk University, Brno, Czechia.
Ondřej MikešRECETOX, Faculty of Science, Masaryk University, Brno, Czechia.
Tomáš JanošRECETOX, Faculty of Science, Masaryk University, Brno, Czechia.
Pavel ČuprRECETOX, Faculty of Science, Masaryk University, Brno, Czechia.
Masaryk University · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The impact of the urban environment on human health is a contemporary subject of environmental research. Air pollution is often considered a leading environmental driver. However, a plethora of other factors within the urban exposome may be involved. At the same time, the resolution of spatial data is also an important facet to consider. Generally, systematic tools for accurate health risk assessment in the urban environment are missing or are not implemented. Methods: The long-term impact of air quality (PM Results: Statistically significant associations between air pollution and the health of the urban population were found. The strongest association was between benzene and the incidence of bronchitis in the adult population [RR 1.552 95% CI (1.415-1.704) per 0.5 μg/m Conclusion: Our findings are mostly highly statistically significant (

Indexed as

Air PollutantsAir PollutionAdultBenzeneChildCitiesHumansNitrogen DioxideAir PollutantsBenzeneNitrogen Dioxideair pollutionbenzenecardiovascular hospitalizationshigh-resolutionlong-term dataPMrespiratory healthurban exposome

Identifiers

PMID36438287
PMCPMC9687097
OpenAlexW4308870971

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.