Cargando…
Assessment of evidence on reported non-genetic risk factors of congenital heart defects: the updated umbrella review
BACKGROUND: Congenital heart defect (CHD) is the leading cause of birth defects globally, which results in a great disease burden. It is still imperative to detect the risk factors of CHD. This umbrella review aimed to comprehensively summarize the evidence and grade the evidence of the associations...
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9055777/ https://www.ncbi.nlm.nih.gov/pubmed/35488214 http://dx.doi.org/10.1186/s12884-022-04600-7 |
_version_ | 1784697488725245952 |
---|---|
author | Nie, Xiaolu Liu, Xiaohang Wang, Chen Wu, Zehao Sun, Zimo Su, Jian Yan, Ruohua Peng, Yaguang Yang, Yuxuan Wang, Chengrong Cai, Siyu Liu, Yali Yu, Huanling Wu, Qingqing Peng, Xiaoxia Yin, Chenghong |
author_facet | Nie, Xiaolu Liu, Xiaohang Wang, Chen Wu, Zehao Sun, Zimo Su, Jian Yan, Ruohua Peng, Yaguang Yang, Yuxuan Wang, Chengrong Cai, Siyu Liu, Yali Yu, Huanling Wu, Qingqing Peng, Xiaoxia Yin, Chenghong |
author_sort | Nie, Xiaolu |
collection | PubMed |
description | BACKGROUND: Congenital heart defect (CHD) is the leading cause of birth defects globally, which results in a great disease burden. It is still imperative to detect the risk factors of CHD. This umbrella review aimed to comprehensively summarize the evidence and grade the evidence of the associations between non-genetic risk factors and CHD. METHODS: Databases including Medline, Embase, Web of Science, Cochrane Library, and four Chinese databases were searched from inception to 18 Jan 2022. The reference lists of systematic reviews (SR) and meta-analyses (MA) were screened, which aimed to explore the non-genetic risk factors of CHD. Subsequently, titles and abstracts of identified records and full texts of selected SR/MA were screened by two independent reviewers based on predefined eligibility criteria. A priori developed extraction form was used to abstract relative data following the PRISMA 2020 and MOOSE guidelines. The risk of bias was assessed with the AMSTAR2 instrument. Data were synthesized using fixed-effects and random-effects meta-analyses, respectively. Finally, the evidence on the association of non-genetic risk factors and CHD was graded using Ioannidis’s five-class evidence grade. RESULTS: A total of 56 SRs, encompassing 369 MAs, were identified. The risk factors included relative factors on air pollution, reproductive-related factors, parental age and BMI, parental life habits, working and dwelling environment, maternal drug exposure, and maternal disease. Based on AMSTAR2 criteria, only 16% (9/56) of SRs were classified as “Moderate”. One hundred and two traceable positive association MAs involving 949 component individual studies were included in further analysis and grading of evidence. Family genetic history, number of abortions, maternal obesity, especially moderate or severe obesity, decoration materials, harmful chemicals, noise during pregnancy, folic acid supplementation, SSRIs, SNRIs, any antidepressants in the first trimester, maternal DM (including both PGDM and GDM), and gestational hypertension were convincing and highly suggestive factors for CHD. After sensitivity analyses based on cohort studies, some grades of evidence changed. CONCLUSION: The present umbrella review will provide evidence-based information for women of childbearing age before or during pregnancy to prevent CHD. In addition, sensitivity analysis based on cohort studies showed the changed evidence levels. Therefore, future SR/MA should concern the sensitivity analysis based on prospective birth cohort studies and case-control studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-022-04600-7. |
format | Online Article Text |
id | pubmed-9055777 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-90557772022-05-01 Assessment of evidence on reported non-genetic risk factors of congenital heart defects: the updated umbrella review Nie, Xiaolu Liu, Xiaohang Wang, Chen Wu, Zehao Sun, Zimo Su, Jian Yan, Ruohua Peng, Yaguang Yang, Yuxuan Wang, Chengrong Cai, Siyu Liu, Yali Yu, Huanling Wu, Qingqing Peng, Xiaoxia Yin, Chenghong BMC Pregnancy Childbirth Research BACKGROUND: Congenital heart defect (CHD) is the leading cause of birth defects globally, which results in a great disease burden. It is still imperative to detect the risk factors of CHD. This umbrella review aimed to comprehensively summarize the evidence and grade the evidence of the associations between non-genetic risk factors and CHD. METHODS: Databases including Medline, Embase, Web of Science, Cochrane Library, and four Chinese databases were searched from inception to 18 Jan 2022. The reference lists of systematic reviews (SR) and meta-analyses (MA) were screened, which aimed to explore the non-genetic risk factors of CHD. Subsequently, titles and abstracts of identified records and full texts of selected SR/MA were screened by two independent reviewers based on predefined eligibility criteria. A priori developed extraction form was used to abstract relative data following the PRISMA 2020 and MOOSE guidelines. The risk of bias was assessed with the AMSTAR2 instrument. Data were synthesized using fixed-effects and random-effects meta-analyses, respectively. Finally, the evidence on the association of non-genetic risk factors and CHD was graded using Ioannidis’s five-class evidence grade. RESULTS: A total of 56 SRs, encompassing 369 MAs, were identified. The risk factors included relative factors on air pollution, reproductive-related factors, parental age and BMI, parental life habits, working and dwelling environment, maternal drug exposure, and maternal disease. Based on AMSTAR2 criteria, only 16% (9/56) of SRs were classified as “Moderate”. One hundred and two traceable positive association MAs involving 949 component individual studies were included in further analysis and grading of evidence. Family genetic history, number of abortions, maternal obesity, especially moderate or severe obesity, decoration materials, harmful chemicals, noise during pregnancy, folic acid supplementation, SSRIs, SNRIs, any antidepressants in the first trimester, maternal DM (including both PGDM and GDM), and gestational hypertension were convincing and highly suggestive factors for CHD. After sensitivity analyses based on cohort studies, some grades of evidence changed. CONCLUSION: The present umbrella review will provide evidence-based information for women of childbearing age before or during pregnancy to prevent CHD. In addition, sensitivity analysis based on cohort studies showed the changed evidence levels. Therefore, future SR/MA should concern the sensitivity analysis based on prospective birth cohort studies and case-control studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-022-04600-7. BioMed Central 2022-04-29 /pmc/articles/PMC9055777/ /pubmed/35488214 http://dx.doi.org/10.1186/s12884-022-04600-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Nie, Xiaolu Liu, Xiaohang Wang, Chen Wu, Zehao Sun, Zimo Su, Jian Yan, Ruohua Peng, Yaguang Yang, Yuxuan Wang, Chengrong Cai, Siyu Liu, Yali Yu, Huanling Wu, Qingqing Peng, Xiaoxia Yin, Chenghong Assessment of evidence on reported non-genetic risk factors of congenital heart defects: the updated umbrella review |
title | Assessment of evidence on reported non-genetic risk factors of congenital heart defects: the updated umbrella review |
title_full | Assessment of evidence on reported non-genetic risk factors of congenital heart defects: the updated umbrella review |
title_fullStr | Assessment of evidence on reported non-genetic risk factors of congenital heart defects: the updated umbrella review |
title_full_unstemmed | Assessment of evidence on reported non-genetic risk factors of congenital heart defects: the updated umbrella review |
title_short | Assessment of evidence on reported non-genetic risk factors of congenital heart defects: the updated umbrella review |
title_sort | assessment of evidence on reported non-genetic risk factors of congenital heart defects: the updated umbrella review |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9055777/ https://www.ncbi.nlm.nih.gov/pubmed/35488214 http://dx.doi.org/10.1186/s12884-022-04600-7 |
work_keys_str_mv | AT niexiaolu assessmentofevidenceonreportednongeneticriskfactorsofcongenitalheartdefectstheupdatedumbrellareview AT liuxiaohang assessmentofevidenceonreportednongeneticriskfactorsofcongenitalheartdefectstheupdatedumbrellareview AT wangchen assessmentofevidenceonreportednongeneticriskfactorsofcongenitalheartdefectstheupdatedumbrellareview AT wuzehao assessmentofevidenceonreportednongeneticriskfactorsofcongenitalheartdefectstheupdatedumbrellareview AT sunzimo assessmentofevidenceonreportednongeneticriskfactorsofcongenitalheartdefectstheupdatedumbrellareview AT sujian assessmentofevidenceonreportednongeneticriskfactorsofcongenitalheartdefectstheupdatedumbrellareview AT yanruohua assessmentofevidenceonreportednongeneticriskfactorsofcongenitalheartdefectstheupdatedumbrellareview AT pengyaguang assessmentofevidenceonreportednongeneticriskfactorsofcongenitalheartdefectstheupdatedumbrellareview AT yangyuxuan assessmentofevidenceonreportednongeneticriskfactorsofcongenitalheartdefectstheupdatedumbrellareview AT wangchengrong assessmentofevidenceonreportednongeneticriskfactorsofcongenitalheartdefectstheupdatedumbrellareview AT caisiyu assessmentofevidenceonreportednongeneticriskfactorsofcongenitalheartdefectstheupdatedumbrellareview AT liuyali assessmentofevidenceonreportednongeneticriskfactorsofcongenitalheartdefectstheupdatedumbrellareview AT yuhuanling assessmentofevidenceonreportednongeneticriskfactorsofcongenitalheartdefectstheupdatedumbrellareview AT wuqingqing assessmentofevidenceonreportednongeneticriskfactorsofcongenitalheartdefectstheupdatedumbrellareview AT pengxiaoxia assessmentofevidenceonreportednongeneticriskfactorsofcongenitalheartdefectstheupdatedumbrellareview AT yinchenghong assessmentofevidenceonreportednongeneticriskfactorsofcongenitalheartdefectstheupdatedumbrellareview |