Vaginal misoprostol versus vaginal dinoprostone for cervical ripening and induction of labour: An individual participant data meta‐analysis of randomised controlled trials

Author:

Patabendige Malitha123ORCID,Chan Fei1,Vayssiere Christophe45,Ehlinger Virginie4,Van Gemund Nicolette6,le Cessie Saskia7,Prager Martina8,Marions Lena8,Rozenberg Patrick9,Chevret Sylvie10,Young David C.1112,Le Roux Paul A.13,Gregson Sarah14,Waterstone Mark14,Rolnik Daniel L.1ORCID,Mol Ben W.1ORCID,Li Wentao115ORCID

Affiliation:

1. Department of Obstetrics and Gynaecology Monash Medical Centre, Monash University Clayton Victoria Australia

2. Ministry of Health Colombo Sri Lanka

3. Monash Health – Casey Hospital Berwick Victoria Australia

4. Centre for Epidemiology and Research in Population Health (CERPOP), UMR1295, Toulouse University, Inserm, Paul Sabatier University Toulouse France

5. Department of Obstetrics and Gynaecology Paule de Viguier Hospital, Toulouse University Hospital Toulouse France

6. Department of Obstetrics and Gynaecology Franciscus Gasthuis Rotterdam the Netherlands

7. Department of Biomedical Data Sciences Leiden University Medical Centre Leiden the Netherlands

8. Division of Obstetrics and Gynaecology, Department of Women's and Children's Health Karolinska University Hospital, Karolinska Institutet Stockholm Sweden

9. Department of Gynaecology and Obstetrics Poissy Hospital, University Paris V Paris France

10. Department of Biostatistics Hopital Saint‐Louis, University Paris VII, INSERM Paris France

11. Department of Obstetrics and Gynaecology Dalhousie University Halifax Nova Scotia Canada

12. IWK Health Centre Halifax Nova Scotia Canada

13. Department of Obstetrics and Gynaecology University of Cape Town Cape Town South Africa

14. Maternity Unit Queen Mary's Sidcup NHS Trust Kent UK

15. National Perinatal Epidemiology and Statistics Unit (NPESU), Centre for Big Data Research in Health, and School of Clinical Medicine, Faculty of Medicine, University of New South Wales Sydney Australia

Abstract

AbstractBackgroundInduction of labour (IOL) is common practice and different methods carry different effectiveness and safety profiles.ObjectivesTo compare the effectiveness, and maternal and perinatal safety outcomes of IOL with vaginal misoprostol versus vaginal dinoprostone using individual participant data from randomised clinical trials.Search strategyThe following databases were searched from inception to March 2023: CINAHL Plus, ClinicalTrials.gov, Cochrane Pregnancy and Childbirth Group Trial Register, Ovid Embase, Ovid Emcare, Ovid MEDLINE, Scopus and the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP).Selection criteriaRandomised controlled trials (RCTs), with viable singleton gestation, no language restrictions, and all published and unpublished data.Data collection and analysisAn individual participant data meta‐analysis was carried out.Main resultsTen of 52 eligible trials provided individual participant data, of which two were excluded after checking data integrity. The remaining eight trials compared low‐dose vaginal misoprostol versus dinoprostone, including 4180 women undergoing IOL, which represents 32.8% of all participants in the published RCTs. Of these, 2077 were assigned to low‐dose vaginal misoprostol and 2103 were assigned to vaginal dinoprostone. Compared with vaginal dinoprostone, low‐dose vaginal misoprostol had a comparable rate of vaginal birth. Composite adverse perinatal outcomes did not differ between the groups. Compared with vaginal dinoprostone, composite adverse maternal outcomes were significantly lower with low‐dose vaginal misoprostol (aOR 0.80, 95% CI 0.65–0.98, P = 0.03, I2 = 0%).ConclusionsLow‐dose vaginal misoprostol and vaginal dinoprostone for IOL are comparable in terms of effectiveness and perinatal safety. However, low‐dose vaginal misoprostol is likely to lead to a lower rate of composite adverse maternal outcomes than vaginal dinoprostone.

Funder

National Health and Medical Research Council

Publisher

Wiley

Reference48 articles.

1. NHS Maternity Statistics England – 2020‐21. [cited 2023 Jul 05]. Available from:https://digital.nhs.uk/data‐and‐information/publications/statistical/nhs‐maternity‐statistics/2020‐21

2. US Centers for Disease Control and Prevention.Births data summary: natality 1995–2021[cited 2023 Jul 05]. Available from:https://wonder.cdc.gov/wonder/help/natality.html

3. Australian Institute of Health and Welfare.Australia's mothers and babies.2023[cited 2023 Apr 25]. Available from:https://www.aihw.gov.au/reports/mothers‐babies/australias‐mothers‐babies/contents/about

4. Inducing labour [B] methods for the induction of labour.NICE guideline [NG207] [Internet].2021[cited 2023 Jul 01]. Available from:https://www.nice.org.uk/guidance/ng207

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3