Evidence map›Paper›PMID 34853634›Full record

ArticleInternational journal of molecular epidemiology and genetics2021

Land use as an effective factor on the occurrence of chromosomal diseases in Brazil.

Marcos Roberto Cochak, Marília Melo Favalesso, Rose Meire Costa, Ana Tereza Bittencourt Guimarães, Lucinéia Fátima Chasko Ribeiro

Abstract read
In one paragraph

Article in International journal of molecular epidemiology and genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Marcos Roberto CochakPostgraduate Program in Bioscience and Health, Universidade Estadual do Oeste do Paraná Cascavel, PR-Brazil.
Marília Melo FavalessoConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Instituto Nacional de Medicina Tropical (INMeT) Argentina.
Rose Meire CostaPostgraduate Program in Bioscience and Health, Universidade Estadual do Oeste do Paraná Cascavel, PR-Brazil.
Ana Tereza Bittencourt GuimarãesPostgraduate Program in Bioscience and Health, Universidade Estadual do Oeste do Paraná Cascavel, PR-Brazil.
Lucinéia Fátima Chasko RibeiroPostgraduate Program in Bioscience and Health, Universidade Estadual do Oeste do Paraná Cascavel, PR-Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe occurrence of chromosomal diseases is a worldwide health problem. The use of agrochemicals, urbanization processes, and solar radiation can be predictive factors of the elevated risk of congenital malformations. In this sense, predicting the geographical potential of the distribution of chromosomal diseases has high relevance for public health.

objectivesThis study aimed to describe chromosomal prevalence in Brazil regions, from 2005 to 2015, to model a potential distribution of chromosomal disease occurrence probability associated with land use.

methodsWe used chromosomal prevalence to model a potential distribution of chromosomal diseases using machine learning algorithms. As the predictors of the models, we used the variables

resultsGeoreferenced data of 43,672 karyotypes detected 7,237 cases of chromosomal diseases and used 5,362 to build the models. The models generated were accurate (TSS>0.5). DISCUSSION: The areas with greater occurrence of chromosomal diseases present a significant association with pasture areas, crops and agroforestry systems, and urbanized areas. This research is the first Brazilian study with this approach that seems promising in predicting the potential distribution of chromosomal diseases. Therefore, it can be an excellent management tool in public health.

Indexed as

Chromosomopathies distributionENMlandscapeSDM

Identifiers

PMID34853634
PMCPMC8611229

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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.