OBJECTIVE: We conducted a systematic review and meta-analysis to examine the relationship between stillbirth and various perinatal outcomes in subsequent pregnancy. DATA SOURCES: PubMed, the Cochrane Library, Embase, Web of Science, and CNKI databases were searched up to July 2023. STUDY ELIGIBILITY CRITERIA: Cohort studies that reported the association between stillbirth and perinatal outcomes in subsequent pregnancies were included. METHODS: We conducted this systematic review and meta-analysis in accordance with the PRISMA guidelines. Statistical analysis was performed using Rand Stata software. We used random-effects models to pool each outcome of interest. We performed a meta-regression analysis to explore the potential heterogeneity. The certainty (quality) of evidence assessment was performed using the GRADE approach. RESULTS: Nineteen cohort studies were included, involving 4,855,153 participants. From these studies, we identified 28,322 individuals with previous stillbirths who met the eligibility criteria. After adjusting for confounders, evidence of low to moderate certainty indicated that compared with women with previous live births, women with previous stillbirths had higher risks of recurrent stillbirth (odds ratio, 2.68; 95% confidence interval, 2.01-3.56), preterm birth (odds ratio, 3.15; 95% confidence interval, 2.07-4.80), neonatal death (odds ratio, 4.24; 95% confidence interval, 2.65-6.79), small for gestational age/intrauterine growth restriction (odds ratio, 1.3; 95% confidence interval, 1.0-1.8), low birthweight (odds ratio, 3.32; 95% confidence interval, 1.46-7.52), placental abruption (odds ratio, 3.01; 95% confidence interval, 1.01-8.98), instrumental delivery (odds ratio, 2.29; 95% confidence interval, 1.68-3.11), labor induction (odds ratio, 4.09; 95% confidence interval, 1.88-8.88), cesarean delivery (odds ratio, 2.38; 95% confidence interval, 1.20-4.73), elective cesarean delivery (odds ratio, 2.42; 95% confidence interval, 1.82-3.23), and emergency cesarean delivery (odds ratio, 2.35; 95% confidence interval, 1.81-3.06) in subsequent pregnancies, but had a lower rate of spontaneous labor (odds ratio, 0.22; 95% confidence interval, 0.13-0.36). However, there was no association between previous stillbirth and preeclampsia (odds ratio, 1.72; 95% confidence interval, 0.63-4.70) in subsequent pregnancies. CONCLUSION: Our systematic review and meta-analysis provide a more comprehensive understanding of adverse pregnancy outcomes associated with previous stillbirth. These findings could be used to inform counseling for couples who are considering pregnancy after a previous stillbirth.

IntroductionThere was limited evidence on the quality of reporting and methodological quality of prediction models using machine learning methods in preterm birth. This systematic review aimed to assess the reporting quality and risk of bias of a machine learning-based prediction model in preterm birth. Material and methodsWe conducted a systematic review, searching the PubMed, Embase, the Cochrane Library, China National Knowledge Infrastructure, China Biology Medicine disk, VIP Database, and WanFang Data from inception to September 27, 2021. Studies that developed (validated) a prediction model using machine learning methods in preterm birth were included. We used the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) statement and Prediction model Risk of Bias Assessment Tool (PROBAST) to evaluate the reporting quality and the risk of bias of included studies, respectively. Findings were summarized using descriptive statistics and visual plots. The protocol was registered in PROSPERO (no. CRD 42022301623). ResultsTwenty-nine studies met the inclusion criteria, with 24 development-only studies and 5 development-with-validation studies. Overall, TRIPOD adherence per study ranged from 17% to 79%, with a median adherence of 49%. The reporting of title, abstract, blinding of predictors, sample size justification, explanation of model, and model performance were mostly poor, with TRIPOD adherence ranging from 4% to 17%. For all included studies, 79% had a high overall risk of bias, and 21% had an unclear overall risk of bias. The analysis domain was most commonly rated as high risk of bias in included studies, mainly as a result of small effective sample size, selection of predictors based on univariable analysis, and lack of calibration evaluation. ConclusionsReporting and methodological quality of machine learning-based prediction models in preterm birth were poor. It is urgent to improve the design, conduct, and reporting of such studies to boost the application of machine learning-based prediction models in preterm birth in clinical practice.

Aim To assess the effect of lubricants on reducing perineal trauma during vaginal delivery. Methods PubMed, Embase, the Cochrane Library, CINAHL, China National Knowledge Infrastructure, China Biology Medicine disc, WanFang databases, and , were searched for literature up to 25 June 2021. Randomized controlled trials published in English or Chinese that compared the vaginal application of lubricant with standard care for women were included. Two reviewers independently performed study screening, data extraction, risk of bias assessment, and certainty of evidence assessment. Pooled effect sizes and corresponding 95% confidence intervals (CI) were calculated using meta-analysis. Results Nineteen trials enrolling 5445 pregnant women were included. Compared with standard care, women using lubricants had a lower incidence of perineal trauma (risk ratio [RR] 0.84, 95% CI 0.76-0.93; low certainty evidence), second-degree perineal laceration (RR 0.72, 95% CI 0.64-0.82; moderate certainty evidence) and episiotomy (RR 0.77, 95% CI 0.62-0.96; very low certainty evidence), and had a shorter duration of the second-stage labor (MD -13.72 min, 95% CI -22.68 to -4.77; very low certainty evidence). Conclusion Lubricants might reduce the incidence of perineal trauma, especially second-degree perineal laceration, and shorten the duration of the second-stage labor. More well-designed studies will continue developing high-quality evidence in this field.

The objectives of this research are to evaluate the impact of a health policy (the Strategy for Normal Birth Care, EAPN) on caesarean rates and perinatal mortality in Spanish public hospitals belonging to the National Health System (NHS) and to assess the related cost savings. Data from the Spanish Ministry of Health for the period 2002−2011 and quantitative impact evaluation techniques (double difference method) are used to compare the effects of this policy in a treatment group composed of the NHS hospitals and a control group made up of private for-profit hospitals outside the scope of the EAPN. Both groups are compared some years before and after the health policy initiated in 2006 and approved in October 2007. The estimation results show that the EAPN had a significant effect in reducing caesarean rates of approximately 2 percentage points between 2007 and 2011, with increasing cost savings over the years ranging from 24 to 44 million euros depending on the year. Furthermore, EAPN reduced perinatal mortality levels by 0.08% in years 2008−2009.

Authors' objectives: In 2017, an Irish National Clinical Guideline for Hepatitis Screening was endorsed by the Minister for Health which conditionally recommended offering once-off testing for hepatitis C to people born between 1965 and 1985 (that is, birth cohort testing), subject to the outcome a health technology assessment (HTA). Following publication of the National Clinical Guideline, HIQA commenced work on a HTA which aimed to establish the clinical, cost-effectiveness, and budget impact of introducing birth cohort testing for hepatitis C in Ireland.