Different interventions to prevent preterm birth in pregnant women with cervical shortening during pregnancy: a protocol for a network meta-analysis.

Abstract

Introduction: Premature birth is the leading cause of neonatal mortality. Cervical length shortening during pregnancy serves as the gold standard for predicting preterm birth. Although several interventions have been applied to reduce the incidence of preterm birth in short cervix pregnant women, the optimal intervention in clinical practice remains controversial. The aim of this study is to conduct a network meta-analysis to explore the optimal intervention for preventing preterm birth among pregnant women with a short cervix.

Methods and analysis: We will search electronic information databases including PubMed, Embase Ovid, Cochrane Library Ovid, Wanfang Data, China Science and Technology Journal Database(VIP) and clinical trial registry websites (US Clinical Trials Registry and China Clinical Trials Registry) until 1 January 2024. Randomised controlled trials (RCTs) comparing two or more interventions to prevent preterm birth in short cervix pregnant women will be included. The primary outcomes are preterm birth rate at <37 weeks and the composite neonatal adverse outcome, secondary outcomes include spontaneous preterm birth rate at <37 weeks, preterm birth rate at <34 weeks, spontaneous preterm birth rate at <34 weeks, week of gestation, birth weight of the newborn, perinatal mortality and neonatal admission rate. Risk of bias 2.0 (ROB 2.0） will be used to assess the risk of bias in the RCT, and the Confidence in Network Meta-Analysis software will be used to assess the certainty of the generated evidence. The network meta-analysis will be conducted using the gemtc package in R 4.2.2. Two investigators independently performed article screening, data extraction and quality assessment. In addition, subgroup analyses and sensitivity analyses will be used to assess the robustness of the findings.

Ethics and dissemination: Ethical considerations will not be required. Results will be published in a peer-review journal.

Prospero registration number: CRD42022315200.