Evidence map›Paper›PMID 39234094›Full record

ArticleFrontiers in public health2024

The effect of air pollution quality on lung cancer rates in middle-income and high-income countries: a panel data analysis approach.

Mehmet Gozlu, Osman Senol, Umit Cirakli, Huseyin Aslan, Fevzi Akbulut, Durmus Gokkaya

Abstract read
In one paragraph

Article in Frontiers in public health, 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
–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

1 citing paper in PubMed.

  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

6 authors.

Mehmet GozluInstitute of Health Sciences, Gaziantep University, Gaziantep, Türkiye.
Osman SenolDepartment of Health Management, Faculty of Health Sciences, Karadeniz Technical University, Trabzon, Türkiye.
Umit CirakliDepartment of Health Management, Faculty of Health Sciences, Izmir Bakircay University, Izmir, Türkiye.
Huseyin AslanHealth Institutions Management, İzmir Kavram Vocational School, İzmir, Türkiye.
Fevzi AkbulutDepartment of Health Management, Faculty of Health Sciences, Bingol University, Bingöl, Türkiye.
Durmus GokkayaDepartment of Health Management, Faculty of Economics and Administrative Sciences, Yozgat Bozok University, Yozgat, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Air pollution is one of the biggest problems in societies today. The intensity of indoor and outdoor air pollutants and the urbanization rate can cause or trigger many different diseases, especially lung cancer. In this context, this study's aim is to reveal the effects of the indoor and outdoor air pollutants, and urbanization rate on the lung cancer cases. Methods: Panel data analysis method is applied in this study. The research includes the period between 1990 and 2019 as a time series and the data type of the variables is annual. The dependent variable in the research model is lung cancer cases per 100,000 people. The independent variables are the level of outdoor air pollution, air pollution level indoor environment and urbanization rate of countries. Results: In the modeling developed for the developed country group, it is seen that the variable with the highest level of effect on lung cancer is the outdoor air pollution level. Conclusions: In parallel with the development of countries, it has been determined that the increase in industrial production wastes, in other words, worsening the air quality, may potentially cause an increase in lung cancer cases. Indoor air quality is also essential for human health; negative changes in this variable may negatively impact individuals' health, especially lung cancer.

Indexed as

Air PollutionLung NeoplasmsAir PollutantsAir Pollution, IndoorData AnalysisDeveloped CountriesEnvironmental ExposureHumansIncomeUrbanizationAir Pollutantsair pollutionDriscoll-Kraay standard error approachlung cancerpanel data analysispublic health

Identifiers

PMID39234094
PMCPMC11371782

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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.