First Clinical Medical College of LanZhou University, Lanzhou, GanSu, PR China. Clinical Laboratory, Affiliated Hospital of Northwest Minzu University, Lanzhou, GanSu, PR China. The Reproductive Medicine Special Hospital of the 1st Hospital of Lanzhou University, Lanzhou, GanSu, PR China. Key Laboratory for Reproductive Medicine and Embryo of Gansu Province, Lanzhou, GanSu, PR China.
The journal of obstetrics and gynaecology research. 2022
AIMS: Previous studies have reported inconsistent findings on the efficacy of platelet-rich plasma (PRP) therapy in women with implantation failure. The objective of this review was to evaluate whether PRP administration could improve pregnancy outcomes in women with implantation failure undergoing in vitro fertilization. METHODS Electronic databases were searched for studies that explored the effects of PRP for patients with
implantation failure. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. Based on the available data, we performed subgroup analyses and sensitivity analyses. RESULTS Eight studies were included. PRP treatment improved pregnancy outcomes for all women compared with no treatment or placebo (clinical pregnancy rate: OR 2.24, 95% CI 1.41-3.54; live birth rate: OR 5.76, 95% CI 1.55-21.44; miscarriage rate: OR 0.18, 95% CI 0.05-0.63), especially in randomized controlled trials. No significant differences were detected in multiple pregnancy rates (OR 2.54, 95% CI 0.67-9.67). Furthermore, subgroup analysis based on the number of previous implantation failures showed that PRP treatment improved pregnancy outcomes in women with recurrent implantation failure (clinical pregnancy rate: OR 2.55, 95% CI 1.49-4.38; live birth rate: OR 5.07, 95% CI 1.15-22.34; miscarriage rate: OR 0.20, 95% CI 0.05-0.78). CONCLUSION PRP administration could improve pregnancy outcomes in women with recurrent implantation failure. Due to the limited evidence available, the efficacy of PRP in women with recurrent implantation failure needs to be further verified in high-quality studies with larger sample sizes.