Evidence map›Paper›PMID 32152854›Full record

ArticleEnvironmental science and pollution research international2020

The impact of neighborhood to industrial areas on health in Uzbekistan: an ecological analysis of congenital diseases, infant mortality, and lung cancer.

Timur Aripov, Maria Blettner, Irina Gorbunova

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
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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

3 authors at 2 institutions in 2 countries.

Timur AripovDepartment of Public Health and Healthcare Management, Tashkent Institute of Postgraduate Medical Education, Parkentskaya str.51, Tashkent, Uzbekistan, 100007. timur_aripov@yahoo.com.ORCID http://orcid.org/0000-0003-2548-9888
Maria BlettnerInstitute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center Mainz, 55131, Mainz, Germany.
Irina GorbunovaDepartment of Public Health and Healthcare Management, Tashkent Institute of Postgraduate Medical Education, Parkentskaya str.51, Tashkent, Uzbekistan, 100007.
Tashkent Institute Of Postgraduate Medical Education · UZJohannes Gutenberg University Mainz · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

After political sovereignty, Uzbekistan's industry is growing fast. However, no investigation was performed so far, to evaluate whether an environmental risk, associated with the industry, is also increasing. Our aim was to investigate whether the distance from factories, as a surrogate measurement for environmental exposure to community, has any influence on some health outcomes in communities of Uzbekistan. For this first investigation, we analyzed prevalence of congenital diseases, infant mortality, and incidence rates of lung cancer, as examples for diseases associated with environmental factors. As crude measurement for the association, we used correlation and regression analysis with the distance to the next factory or plant as explanatory variable. A regression analysis demonstrated an association between the three outcome variables, with the strongest negative correlation (r = - 0.48) and the highest determination power (r

Indexed as

Lung NeoplasmsEnvironmental ExposureHumansInfantInfant MortalityProspective StudiesUzbekistanCongenital diseasesEcological biasEnvironmental pollutionIndustryInfant mortalityLung cancerUzbekistan

Identifiers

PMID32152854
OpenAlexW3012185818

What OpenQuestion holds

Textmetadata
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.