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Spatial analysis of hypospadias cases in northern France: taking clinical data into account
BACKGROUND: Strong evidence for a causal role of environmental factors in a congenital anomaly is still difficult to produce. The collection of statistical data is crucial for gaining a better understanding of the epidemiology and pathophysiology of these anomalies. We aimed to evaluate spatial vari...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7504625/ https://www.ncbi.nlm.nih.gov/pubmed/32957953 http://dx.doi.org/10.1186/s12887-020-02332-1 |
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author | Lauriot Dit Prevost, Arthur Genin, Michael Occelli, Florent Priso, René-Hilaire Besson, Remi Lanier, Caroline Sharma, Dyuti |
author_facet | Lauriot Dit Prevost, Arthur Genin, Michael Occelli, Florent Priso, René-Hilaire Besson, Remi Lanier, Caroline Sharma, Dyuti |
author_sort | Lauriot Dit Prevost, Arthur |
collection | PubMed |
description | BACKGROUND: Strong evidence for a causal role of environmental factors in a congenital anomaly is still difficult to produce. The collection of statistical data is crucial for gaining a better understanding of the epidemiology and pathophysiology of these anomalies. We aimed to evaluate spatial variations in hypospadias within our region and it’s association to socioeconomic and ecological factors, taking clinical data into account. METHODS: All boys with hypospadias born in northern France and seen in Lille University Medical Center (Lille, France) between 1999 and 2012 were included in the analysis. We retrospectively collected geographic data, clinical data (especially known confounding factors associated with an elevated risk of hypospadias), and demographic, socio-economic and ecological data. We analyzed the entire study population and subsequently the subset of boys lacking confounding factors. RESULTS: The study sample of 975 cases of hypospadias over the 13-year period resulted in an incidence of 25.4/10,000 male births, and was characterized by significant spatial heterogeneity (p < 0.005) and autocorrelation (p < 0.001). We detected two high-incidence clusters that differed with regard to their land use. After the exclusion of 221 patients with confounding factors, two high-incidence clusters with significant disease risks (1.65 and 1.75, respectively; p < 0.001) and a significant difference in land use (p < 0.001) again appeared. The first cluster contained a higher median [interquartile range] proportion of artificialized land (0.40 [0.22;0.47]) than the remaining “neutral areas” (0.19 [0.08;0.53]) did (p < 0.001). Conversely, the second cluster contained a higher median proportion of rural land (0.90 [0.78;0.96]) than the “neutral areas” (0.81 [0.47;0.92]) did (p < 0.001). The median deprivation index was significantly lower in the urban cluster (0.47 [0.42;0.55]) and significantly higher in the rural cluster (0.69 [0.56;0.73]) (p < 0.001). CONCLUSIONS: Our results evidenced the heterogeneous spatial distribution of cases of hypospadias in northern France. We identified two clusters with different environmental and social patterns – even after the exclusion of known confounding factors. |
format | Online Article Text |
id | pubmed-7504625 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75046252020-09-23 Spatial analysis of hypospadias cases in northern France: taking clinical data into account Lauriot Dit Prevost, Arthur Genin, Michael Occelli, Florent Priso, René-Hilaire Besson, Remi Lanier, Caroline Sharma, Dyuti BMC Pediatr Research Article BACKGROUND: Strong evidence for a causal role of environmental factors in a congenital anomaly is still difficult to produce. The collection of statistical data is crucial for gaining a better understanding of the epidemiology and pathophysiology of these anomalies. We aimed to evaluate spatial variations in hypospadias within our region and it’s association to socioeconomic and ecological factors, taking clinical data into account. METHODS: All boys with hypospadias born in northern France and seen in Lille University Medical Center (Lille, France) between 1999 and 2012 were included in the analysis. We retrospectively collected geographic data, clinical data (especially known confounding factors associated with an elevated risk of hypospadias), and demographic, socio-economic and ecological data. We analyzed the entire study population and subsequently the subset of boys lacking confounding factors. RESULTS: The study sample of 975 cases of hypospadias over the 13-year period resulted in an incidence of 25.4/10,000 male births, and was characterized by significant spatial heterogeneity (p < 0.005) and autocorrelation (p < 0.001). We detected two high-incidence clusters that differed with regard to their land use. After the exclusion of 221 patients with confounding factors, two high-incidence clusters with significant disease risks (1.65 and 1.75, respectively; p < 0.001) and a significant difference in land use (p < 0.001) again appeared. The first cluster contained a higher median [interquartile range] proportion of artificialized land (0.40 [0.22;0.47]) than the remaining “neutral areas” (0.19 [0.08;0.53]) did (p < 0.001). Conversely, the second cluster contained a higher median proportion of rural land (0.90 [0.78;0.96]) than the “neutral areas” (0.81 [0.47;0.92]) did (p < 0.001). The median deprivation index was significantly lower in the urban cluster (0.47 [0.42;0.55]) and significantly higher in the rural cluster (0.69 [0.56;0.73]) (p < 0.001). CONCLUSIONS: Our results evidenced the heterogeneous spatial distribution of cases of hypospadias in northern France. We identified two clusters with different environmental and social patterns – even after the exclusion of known confounding factors. BioMed Central 2020-09-21 /pmc/articles/PMC7504625/ /pubmed/32957953 http://dx.doi.org/10.1186/s12887-020-02332-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Lauriot Dit Prevost, Arthur Genin, Michael Occelli, Florent Priso, René-Hilaire Besson, Remi Lanier, Caroline Sharma, Dyuti Spatial analysis of hypospadias cases in northern France: taking clinical data into account |
title | Spatial analysis of hypospadias cases in northern France: taking clinical data into account |
title_full | Spatial analysis of hypospadias cases in northern France: taking clinical data into account |
title_fullStr | Spatial analysis of hypospadias cases in northern France: taking clinical data into account |
title_full_unstemmed | Spatial analysis of hypospadias cases in northern France: taking clinical data into account |
title_short | Spatial analysis of hypospadias cases in northern France: taking clinical data into account |
title_sort | spatial analysis of hypospadias cases in northern france: taking clinical data into account |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7504625/ https://www.ncbi.nlm.nih.gov/pubmed/32957953 http://dx.doi.org/10.1186/s12887-020-02332-1 |
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