Observational studyBMC pregnancy and childbirth2020
Prediction of iatrogenic preterm birth in patients with scarred uterus: a retrospective cohort study in Northeast China.
Observational study in BMC pregnancy and childbirth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Birth spacing and risk of adverse pregnancy and birth outcomes: A systematic review and dose-response meta-analysis.Acta obstetricia et gynecologica Scandinavica · 2023Pooled it
- Observational
- Machine Learning Models for the Prediction of Preterm Birth at Mid-Gestation Using Individual Characteristics and Biophysical Markers: A Cohort Study.Children (Basel, Switzerland) · 2025Article
- Perinatal Outcomes of Pregnancy in Women with Scarred Uteri.International journal of women's health · 2023Article
- Prenatal Diagnosis Nomograms: A Novel Tool to Predict Fetal Chromosomal Abnormalities in High-Risk Patients.Risk management and healthcare policy · 2021Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundTo build a novel and simple model to predict iatrogenic preterm birth in pregnant women with scarred uteri.
methodsIn this retrospective, observational, single-centre cohort study, data from 2315 patients with scarred uteri were collected. Multiple logistic regression analysis and mathematical modelling were used to develop a risk evaluation tool for iatrogenic preterm birth. After modelling, the calibration and discrimination of the model along with decision curve analysis were checked and performed to ensure clinical applicability.
resultsAmong the 2315 patients, 417 (18.0%) had iatrogenic preterm births. The following variables were included in the model: interpregnancy interval (0 to < 12 months, OR 5.33 (95% Cl 1.79-15.91), P = 0.003; 13 to < 24 months (reference), 25 to < 60 months, OR 1.80 (95% CI 0.96-3.40), P = 0.068; ≥ 60 months, OR 1.60 (95% Cl 0.86-2.97), P = 0.14), height (OR 0.95, (95% CI 0.92-0.98), P = 0.003), parity (parity ≤1 (reference), parity = 2, OR 2.92 (95% CI 1.71-4.96), P < 0.0001; parity ≥3, OR 8.26, (95% CI 2.29-29.76), P = 0.001), number of vaginal bleeding (OR 1.81, (95% Cl 1.36-2.41), P < 0.0001), hypertension in pregnancy (OR 9.52 (95% CI 6.46-14.03), P < 0.0001), and placenta previa (OR 4.21, (95% CI 2.85-6.22), P < 0.0001). Finally, a nomogram was developed.
conclusionsIn this study, we built a model to predict iatrogenic preterm birth for pregnant women with scarred uteri. The nomogram we created can assist doctors in evaluating the risk of iatrogenic preterm birth and help in making referrals; thus, better medical care can be given to improve the prognosis of patients and foetuses.
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