Objectives To systematically review the efficacy and safety of carbetocinversusoxytocin on the prevention of postpartum hemorrhage (PPH) for women undergoing vaginal delivery. Methods PubMed, The Cochrane Library, Web of Science, CBM, WanFang Data, CNKI and VIP databases were electronically searched to collect randomized controlled trials (RCTs) on carbetocinversusoxytocin on the prevention of PPH for women undergoing vaginal delivery from inception to January 2018. Two reviewers independently screened literature, extracted data and assessed risk of bias of included studies, then, meta-analysis was performed by using RevMan 5.3 and Stata 12.0 software. Results A total of 16 RCTs including 2 537 patients were included. The results of meta-analysis showed that: compared to oxytocin, carbetocin could reduce the amount of blood loss within 24h (MD=–107.68, 95%CI–130.21 to –85.15, P<0.000 01) and 2h (MD=–85.98, 95%CI–93.37 to –78.59,P<0.000 01), hemoglobin (Hb) within 24h after delivery (MD=–5.63, 95%CI–6.82 to –4.43,P<0.000 01), the occurrence of PPH (RR=0.46, 95%CI 0.32 to 0.66,P<0.000 01) and the requirement for additional uterotonic agents (RR=0.63, 95%CI 0.48 to 0.84,P=0.002). There was no significant difference in the risk of adverse effects between two groups. Conclusions Current evidence shows that carbetocin is superior to oxytocin in the prevention of PPH for women undergoing vaginal delivery, without increasing the adverse effects. Due to limited quality and quantity of the included studies, more high quality studies are required to verify above the conclusion.
Objective To systematically review the performance of postpartum hemorrhage risk prediction models, and to provide references for the future construction and application of effective prediction models. Methods The CNKI, WanFang Data, VIP, CBM, PubMed, EMbase, The Cochrane Library, Web of Science, and CINAHL databases were electronically searched to identify studies reporting risk prediction models for postpartum hemorrhage from database inception to March 20th, 2022. Two reviewers independently screened the literature, extracted data, and assessed the risk of bias and applicability of the included studies. Results A total of 39 studies containing 58 postpartum hemorrhage risk prediction models were enrolled. The area under the curve of 49 models was over 0.7. All but one of the models had a high risk of bias. Conclusion Models for predicting postpartum hemorrhage risk have good predictive performance. Given the lack of internal and external validation, and the differences in study subjects and outcome indicators, the clinical value of the models needs to be further verified. Prospective cohort studies should be conducted using uniform predictor assessment methods and outcome indicators to develop effective prediction models that can be applied to a wider range of populations.