ArticleJournal of investigative medicine : the official publication of the American Federation for Clinical Research2020
Prediction of emergency cesarean section by measurable maternal and fetal characteristics.
Article in Journal of investigative medicine : the official publication of the American Federation for Clinical Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.
- The Impact of Mode of Birth on Childbirth-Related Post Traumatic Stress Symptoms beyond 6 Months Postpartum: An Integrative Review.International journal of environmental research and public health · 2022Pooled it
- Machine learning to predict pregnancy outcomes: a systematic review, synthesizing framework and future research agenda.BMC pregnancy and childbirth · 2022Pooled it
- Dual-output, web-based risk assessment system for cesarean section due to dystocia: integration of logistic regression and risk scoring models.Obstetrics & gynecology science · 2026Article
- Developing and validating a risk prediction model for caesarean delivery in Northwest Amhara comprehensive specialized hospitals.BMC pregnancy and childbirth · 2025Article
- The role of artificial intelligence in maternal and child health: Progress, controversies, and future directions.PLOS digital health · 2025Review
- Article
- A predicting model for intrapartum cesarean delivery at admission using a nomogram: a retrospective cohort study in China.BMC pregnancy and childbirth · 2025Article
- The effect of maternal and fetal weight on the risk of emergency cesarean section in nulliparous women.Medicine · 2025Observational
- Genetic analysis of 280 children with unexplained developmental delay or intellectual disability using whole exome sequencing.BMC pediatrics · 2024Article
- Predicting Vaginal Delivery Success: Role of Intrapartum Transperineal Ultrasound Angle of Descent at a Single Center.Medical science monitor : international medical journal of experimental and clinical research · 2024Article
- Prediction of unplanned cesarean section using measurable maternal and fetal characteristics, Ethiopia, a retrospective cohort study.BMC pregnancy and childbirth · 2024Article
- Increased bladder injury rate during emergency and repeat cesarean sectionJournal of the Turkish German Gynecological Association · 2023Article
- The impact of mode of delivery on parent-infant-bonding and the mediating role of birth experience: a comparison of mothers and fathers within the longitudinal cohort study DREAM.BMC pregnancy and childbirth · 2023Article
- Prediction of Emergency Cesarean Section Using Detectable Maternal and Fetal Characteristics Among Saudi Women.International journal of women's health · 2023Article
- Article
- A Retrospective Review of Decision to Delivery Time Interval for Foetal Distress at a Central Hospital.International journal of women's health · 2022Article
- Prediction of odds for emergency cesarean section: A secondary analysis of the CHILD term birth cohort study.PloS one · 2022Article
- Implementation of a calculator to predict cesarean delivery during labor induction: a qualitative evaluation of the clinician perspective.American journal of obstetrics & gynecology MFM · 2021Article
- Methodological issue on prediction of emergency cesarean section by measurable maternal and fetal characteristics.Journal of investigative medicine : the official publication of the American Federation for Clinical Research · 2020Article
- Response: Methodological issue on prediction of emergency cesarean section by measurable maternal and fetal characteristics.Journal of investigative medicine : the official publication of the American Federation for Clinical Research · 2020Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo analyze the maternal and fetal factors affecting emergency cesarean section (EmCS) and establish a risk scoring system to quantitatively predict the risk of EmCS.
designA total of 10,295 pregnant women were enrolled in this study. The influence of maternal and fetal factors on the risk of EmCS was analyzed.
results991 (9.63%) cases of failed vaginal delivery received EmCS. The two main causes of EmCS were fetal distress (67.21%) and abnormal fetal position (14.93%). There were significant differences in 17 maternal and fetal factors between the normal vaginal delivery (NVD) and EmCS groups (p<0.05 for all). Univariate and multivariate regression analyses showed that nine maternal and infant factors were independent risk factors (p<0.05 for all). The major factors were abnormal quantity of amniotic fluid (OR 6.867, 95% CI 4.442 to 10.618), nulliparous (OR 4.336, 95% CI 3.074 to 6.115), induction of labor (OR 5.300, 95% CI 4.514 to 6.224) and abnormal characters of amniotic fluid (OR 3.126, 95% CI 2.708 to 3.608). A risk scoring system (six grades) was established based on those factors which showed high discriminative power. The rate of EmCS was 1.30%, 2.57%, 5.83%, 13.94%, 21.75% and 39.71% in grades 1, 2, 3, 4, 5 and 6, respectively. The area under the curve of the risk scoring system was 0.787, indicating that the regression model of the risk factors had a good predictive ability.
conclusionAn effective risk scoring system has been developed to quantitatively assess the risk of EmCS based on measurable maternal and fetal factors. The system is simple, easy to operate and has good repeatability in clinical practice.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.