Can Comprehensive Chromosome Screening Technology Improve IVF/ICSI Outcomes? A Meta-Analysis.
<h4>Objective</h4>To examine whether comprehensive chromosome screening (CCS) for preimplantation genetic screening (PGS) has an effect on improving in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) outcomes compared to traditional morphological methods.<h4>Methods...
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doaj-dc4f4c7990d04eb4bd377bca6556991f2021-03-04T07:21:21ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-011010e014077910.1371/journal.pone.0140779Can Comprehensive Chromosome Screening Technology Improve IVF/ICSI Outcomes? A Meta-Analysis.Minghao ChenShiyou WeiJunyan HuSong Quan<h4>Objective</h4>To examine whether comprehensive chromosome screening (CCS) for preimplantation genetic screening (PGS) has an effect on improving in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) outcomes compared to traditional morphological methods.<h4>Methods</h4>A literature search was conducted in PubMed, EMBASE, CNKI and ClinicalTrials.gov up to May 2015. Two reviewers independently evaluated titles and abstracts, extracted data and assessed quality. We included studies that compared the IVF/ICSI outcomes of CCS-based embryo selection with those of the traditional morphological method. Relative risk (RR) values with corresponding 95% confidence intervals (CIs) were calculated in RevMan 5.3, and subgroup analysis and Begg's test were used to assess heterogeneity and potential publication bias, respectively.<h4>Results</h4>Four RCTs and seven cohort studies were included. A meta-analysis of the outcomes showed that compared to morphological criteria, euploid embryos identified by CCS were more likely to be successfully implanted (RCT RR 1.32, 95% CI 1.18-1.47; cohort study RR 1.74, 95% CI 1.35-2.24). CCS-based PGS was also related to an increased clinical pregnancy rate (RCT RR 1.26, 95% CI 0.83-1.93; cohort study RR 1.48, 95% CI 1.20-1.83), an increased ongoing pregnancy rate (RCT RR 1.31, 95% CI 0.64-2.66; cohort study RR 1.61, 95% CI 1.30-2.00), and an increased live birth rate (RCT RR 1.26, 95% CI 1.05-1.50; cohort study RR 1.35, 95% CI 0.85-2.13) as well as a decreased miscarriage rate (RCT RR 0.53, 95% CI 0.24-1.15; cohort study RR 0.31, 95% CI 0.21-0.46) and a decreased multiple pregnancy rate (RCT RR 0.02, 95% CI 0.00-0.26; cohort study RR 0.19, 95% CI 0.07-0.51). The results of the subgroup analysis also showed a significantly increased implantation rate in the CCS group.<h4>Conclusions</h4>The effectiveness of CCS-based PGS is comparable to that of traditional morphological methods, with better outcomes for women receiving IVF/ICSI technology. The transfer of both trophectoderm-biopsied and blastomere-biopsied CCS-euploid embryos can improve the implantation rate.https://doi.org/10.1371/journal.pone.0140779 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Minghao Chen Shiyou Wei Junyan Hu Song Quan |
spellingShingle |
Minghao Chen Shiyou Wei Junyan Hu Song Quan Can Comprehensive Chromosome Screening Technology Improve IVF/ICSI Outcomes? A Meta-Analysis. PLoS ONE |
author_facet |
Minghao Chen Shiyou Wei Junyan Hu Song Quan |
author_sort |
Minghao Chen |
title |
Can Comprehensive Chromosome Screening Technology Improve IVF/ICSI Outcomes? A Meta-Analysis. |
title_short |
Can Comprehensive Chromosome Screening Technology Improve IVF/ICSI Outcomes? A Meta-Analysis. |
title_full |
Can Comprehensive Chromosome Screening Technology Improve IVF/ICSI Outcomes? A Meta-Analysis. |
title_fullStr |
Can Comprehensive Chromosome Screening Technology Improve IVF/ICSI Outcomes? A Meta-Analysis. |
title_full_unstemmed |
Can Comprehensive Chromosome Screening Technology Improve IVF/ICSI Outcomes? A Meta-Analysis. |
title_sort |
can comprehensive chromosome screening technology improve ivf/icsi outcomes? a meta-analysis. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2015-01-01 |
description |
<h4>Objective</h4>To examine whether comprehensive chromosome screening (CCS) for preimplantation genetic screening (PGS) has an effect on improving in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) outcomes compared to traditional morphological methods.<h4>Methods</h4>A literature search was conducted in PubMed, EMBASE, CNKI and ClinicalTrials.gov up to May 2015. Two reviewers independently evaluated titles and abstracts, extracted data and assessed quality. We included studies that compared the IVF/ICSI outcomes of CCS-based embryo selection with those of the traditional morphological method. Relative risk (RR) values with corresponding 95% confidence intervals (CIs) were calculated in RevMan 5.3, and subgroup analysis and Begg's test were used to assess heterogeneity and potential publication bias, respectively.<h4>Results</h4>Four RCTs and seven cohort studies were included. A meta-analysis of the outcomes showed that compared to morphological criteria, euploid embryos identified by CCS were more likely to be successfully implanted (RCT RR 1.32, 95% CI 1.18-1.47; cohort study RR 1.74, 95% CI 1.35-2.24). CCS-based PGS was also related to an increased clinical pregnancy rate (RCT RR 1.26, 95% CI 0.83-1.93; cohort study RR 1.48, 95% CI 1.20-1.83), an increased ongoing pregnancy rate (RCT RR 1.31, 95% CI 0.64-2.66; cohort study RR 1.61, 95% CI 1.30-2.00), and an increased live birth rate (RCT RR 1.26, 95% CI 1.05-1.50; cohort study RR 1.35, 95% CI 0.85-2.13) as well as a decreased miscarriage rate (RCT RR 0.53, 95% CI 0.24-1.15; cohort study RR 0.31, 95% CI 0.21-0.46) and a decreased multiple pregnancy rate (RCT RR 0.02, 95% CI 0.00-0.26; cohort study RR 0.19, 95% CI 0.07-0.51). The results of the subgroup analysis also showed a significantly increased implantation rate in the CCS group.<h4>Conclusions</h4>The effectiveness of CCS-based PGS is comparable to that of traditional morphological methods, with better outcomes for women receiving IVF/ICSI technology. The transfer of both trophectoderm-biopsied and blastomere-biopsied CCS-euploid embryos can improve the implantation rate. |
url |
https://doi.org/10.1371/journal.pone.0140779 |
work_keys_str_mv |
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