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Birth prevalence of congenital heart disease in China, 1980–2019: a systematic review and meta-analysis of 617 studies
To assess the birth prevalence and spatial distribution of congenital heart disease (CHD) in China by conducting a complete overview and using spatial epidemiological methods. Unrestricted searches were conducted on seven electronic databases, with an end-date parameter of May 2019. Data on the birt...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7387380/ https://www.ncbi.nlm.nih.gov/pubmed/32519018 http://dx.doi.org/10.1007/s10654-020-00653-0 |
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author | Zhao, Lijuan Chen, Lizhang Yang, Tubao Wang, Tingting Zhang, Senmao Chen, Letao Ye, Ziwei Luo, Liu Qin, Jiabi |
author_facet | Zhao, Lijuan Chen, Lizhang Yang, Tubao Wang, Tingting Zhang, Senmao Chen, Letao Ye, Ziwei Luo, Liu Qin, Jiabi |
author_sort | Zhao, Lijuan |
collection | PubMed |
description | To assess the birth prevalence and spatial distribution of congenital heart disease (CHD) in China by conducting a complete overview and using spatial epidemiological methods. Unrestricted searches were conducted on seven electronic databases, with an end-date parameter of May 2019. Data on the birth prevalence of CHD and its subtypes were collected and combined using either the random-effect model or fixed-effect model. Subgroup sensitivity analyses were performed to explore potential heterogeneity moderators. The three-dimensional trend analysis and a visualization of CHD birth prevalence among different provinces were performed to describe the spatial distribution characteristics. Total 617 studies involving 76,961,354 births and 201,934 CHD individuals were included. Overall, total CHD birth prevalence increased continuously over time, from 0.201‰ in 1980–1984 to 4.905‰ in 2015–2019. The study on the high-income provinces, population-based monitoring model, male births, and urban regions reported a significantly higher prevalence of total CHD compared with upper-middle-income provinces, hospital-based monitoring model, female births, and rural regions, respectively. National CHD birth prevalence increased gradually from western region to eastern region, but decreased gradually from southern to northern region. Relevant heterogeneity moderators including gender, geographic region, income levels, and monitoring models have been identified by subgroup analyses. Sensitivity analysis yielded consistent results. Total CHD birth prevalence in China increases continuously in the past 40 years. Significant differences in gender, geographical regions, income levels, and monitoring models were found. In the future, population wide prospective birth defect registries covering the entire Chinese population need to determine the exact birth prevalence. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10654-020-00653-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7387380 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-73873802020-08-11 Birth prevalence of congenital heart disease in China, 1980–2019: a systematic review and meta-analysis of 617 studies Zhao, Lijuan Chen, Lizhang Yang, Tubao Wang, Tingting Zhang, Senmao Chen, Letao Ye, Ziwei Luo, Liu Qin, Jiabi Eur J Epidemiol Meta-Analysis To assess the birth prevalence and spatial distribution of congenital heart disease (CHD) in China by conducting a complete overview and using spatial epidemiological methods. Unrestricted searches were conducted on seven electronic databases, with an end-date parameter of May 2019. Data on the birth prevalence of CHD and its subtypes were collected and combined using either the random-effect model or fixed-effect model. Subgroup sensitivity analyses were performed to explore potential heterogeneity moderators. The three-dimensional trend analysis and a visualization of CHD birth prevalence among different provinces were performed to describe the spatial distribution characteristics. Total 617 studies involving 76,961,354 births and 201,934 CHD individuals were included. Overall, total CHD birth prevalence increased continuously over time, from 0.201‰ in 1980–1984 to 4.905‰ in 2015–2019. The study on the high-income provinces, population-based monitoring model, male births, and urban regions reported a significantly higher prevalence of total CHD compared with upper-middle-income provinces, hospital-based monitoring model, female births, and rural regions, respectively. National CHD birth prevalence increased gradually from western region to eastern region, but decreased gradually from southern to northern region. Relevant heterogeneity moderators including gender, geographic region, income levels, and monitoring models have been identified by subgroup analyses. Sensitivity analysis yielded consistent results. Total CHD birth prevalence in China increases continuously in the past 40 years. Significant differences in gender, geographical regions, income levels, and monitoring models were found. In the future, population wide prospective birth defect registries covering the entire Chinese population need to determine the exact birth prevalence. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10654-020-00653-0) contains supplementary material, which is available to authorized users. Springer Netherlands 2020-06-09 2020 /pmc/articles/PMC7387380/ /pubmed/32519018 http://dx.doi.org/10.1007/s10654-020-00653-0 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/. |
spellingShingle | Meta-Analysis Zhao, Lijuan Chen, Lizhang Yang, Tubao Wang, Tingting Zhang, Senmao Chen, Letao Ye, Ziwei Luo, Liu Qin, Jiabi Birth prevalence of congenital heart disease in China, 1980–2019: a systematic review and meta-analysis of 617 studies |
title | Birth prevalence of congenital heart disease in China, 1980–2019: a systematic review and meta-analysis of 617 studies |
title_full | Birth prevalence of congenital heart disease in China, 1980–2019: a systematic review and meta-analysis of 617 studies |
title_fullStr | Birth prevalence of congenital heart disease in China, 1980–2019: a systematic review and meta-analysis of 617 studies |
title_full_unstemmed | Birth prevalence of congenital heart disease in China, 1980–2019: a systematic review and meta-analysis of 617 studies |
title_short | Birth prevalence of congenital heart disease in China, 1980–2019: a systematic review and meta-analysis of 617 studies |
title_sort | birth prevalence of congenital heart disease in china, 1980–2019: a systematic review and meta-analysis of 617 studies |
topic | Meta-Analysis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7387380/ https://www.ncbi.nlm.nih.gov/pubmed/32519018 http://dx.doi.org/10.1007/s10654-020-00653-0 |
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