Risk of preeclampsia following assisted reproductive technology: systematic review and meta-analysis of 72 cohort studies.
Reza Omani-SamaniAhad AlizadehAmir Almasi-HashianiMaryam MohammadiSaman MaroufizadehBehnaz NavidEsmaeil Khedmati MorasaePayam AminiPublished in: The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians (2019)
Objective: Previous studies have indicated that women with assisted reproductive technology (ART) pregnancy have an increased risk of preeclampsia. The aim of this current study was to estimate, through a systematic review and meta-analysis of cohort studies, the risk of preeclampsia in women who conceived with ART.Materials and methods: We searched ISI Web of Knowledge, Medline/PubMed, Scopus and Embase up to August 2017 for English-language articles pertaining to risk of preeclampsia in ART pregnancy using standard keywords. Data extraction was conducted by two authors and quality of the studies was assessed using the Newcastle-Ottawa Scale. A random-effects model was used for the meta-analysis.Results: In total, 72 cohort studies (n = 164 870) were included. The results of Cochran test and I2 statistic indicated considerable heterogeneity among studies (Q = 15 415.61, df = 71, p < .001, I2=99.5%). The pooled estimate of preeclampsia risk using the random effects model was 10.8% (95% CI: 9.10-12.5). Furthermore, the funnel plot and Begg's test showed evidence of publication bias.Conclusions: We found that the risk of preeclampsia was very high among women who conceived with ART. Women should be counseled carefully before undergoing ART treatment.
Keyphrases
- pregnancy outcomes
- early onset
- pregnant women
- hiv infected
- case control
- systematic review
- antiretroviral therapy
- polycystic ovary syndrome
- healthcare
- randomized controlled trial
- clinical trial
- machine learning
- single cell
- quality improvement
- meta analyses
- skeletal muscle
- insulin resistance
- combination therapy
- artificial intelligence
- study protocol
- breast cancer risk
- phase iii