ArticleEuropean journal of obstetrics, gynecology, and reproductive biology2018
Pre-pregnancy or first-trimester risk scoring to identify women at high risk of preterm birth.
Article in European journal of obstetrics, gynecology, and reproductive biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association between maternal sleep duration and quality, and the risk of preterm birth: a systematic review and meta-analysis of observational studies.BMC pregnancy and childbirth · 2020Pooled it
- "Actionable" risk for preterm birth: patterns and prediction in California singleton births 2016-2020.BMC pregnancy and childbirth · 2026Article
- Self-assessment risk scoring system for early screening of preterm birth in low resource settings.BMC pregnancy and childbirth · 2026Article
- Evaluation of postnatal outcomes from a group antenatal care intervention in Nigeria: a quasi-experimental study.Journal of global health · 2026Article
- Pre-conception clinical risk factors differ between spontaneous and indicated preterm birth in a densely phenotyped EHR cohort.BMC pregnancy and childbirth · 2025Article
- Development of a spontaneous preterm birth predictive model using a panel of serum protein biomarkers for early pregnant women: A nested case-control study.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025Article
- Prediction of risk for early or very early preterm births using high-resolution urinary metabolomic profiling.BMC pregnancy and childbirth · 2024Article
- Risk and Protective Factors for Preterm Birth Among Racial, Ethnic, and Socioeconomic Groups in California.JAMA network open · 2024Article
- A Scoping Review of Preterm Birth Risk Factors.American journal of perinatology · 2024Article
- Risk Scoring Systems for Preterm Birth and Their Performance: A Systematic Review.Journal of clinical medicine · 2023Review
- Development of prognostic model for preterm birth using machine learning in a population-based cohort of Western Australia births between 1980 and 2015.Scientific reports · 2022Article
- Dense phenotyping from electronic health records enables machine learning-based prediction of preterm birth.BMC medicine · 2022Article
- PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks.BioData mining · 2022Article
- Association of Alcohol Use Diagnostic Codes in Pregnancy and Offspring Conotruncal and Endocardial Cushion Heart Defects.Journal of the American Heart Association · 2022Article
- Patient and provider perspectives on preterm birth risk assessment and communication.Patient education and counseling · 2021Article
- Risk and Protective Factors for Preterm Birth Among Black Women in Oakland, California.Journal of racial and ethnic health disparities · 2021Article
- Maternal Pre-conception Body Mass Index and Fasting Plasma Glucose With the Risk of Pre-term Birth: A Cohort Study Including 4.9 Million Chinese Women.Frontiers in reproductive health · 2021Article
- Cervicovaginal fluid cytokines as predictive markers of preterm birth in symptomatic women.Obstetrics & gynecology science · 2020Article
- Maternal dyslipidemia and risk for preterm birth.PloS one · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Objective To develop a pre-pregnancy or first-trimester risk score to identify women at high risk of preterm birth. Study design In this retrospective cohort analysis, the sample was drawn from California singleton livebirths from 2007 to 2012 with linked birth certificate and hospital discharge records. The dataset was divided into a training (2/3 of sample) and a testing (1/3 of sample) set for discovery and validation. Predictive models for preterm birth using pre-pregnancy or first-trimester maternal factors were developed using backward stepwise logistic regression on a training dataset. A risk score for preterm birth was created for each pregnancy using beta-coefficients for each maternal factor remaining in the final multivariable model. Risk score utility was replicated in a testing dataset and by race/ethnicity and payer for prenatal care. Results The sample included 2,339,696 pregnancies divided into training and testing datasets. Twenty-three maternal risk factors were identified including several that were associated with a two or more increased odds of preterm birth (preexisting diabetes, preexisting hypertension, sickle cell anemia, and previous preterm birth). Approximately 40% of women with a risk score ≥ 3.0 in the training and testing samples delivered preterm (40.6% and 40.8%, respectively) compared to 3.1-3.3% of women with a risk score of 0.0 [odds ratio (OR) 13.0, 95% confidence interval (CI) 10.7-15.8, training; OR 12.2, 95% CI 9.4-15.9, testing). Additionally, over 18% of women with a risk score ≥ 3.0 had an adverse outcome other than preterm birth. Conclusion Maternal factors that are identifiable prior to pregnancy or during the first-trimester can be used create a cumulative risk score to identify women at the lowest and highest risk for preterm birth regardless of race/ethnicity or socioeconomic status. Further, we found that this cumulative risk score could also identify women at risk for other adverse outcomes who did not have a preterm birth. The risk score is not an effective screening test, but does identify women at very high risk of a preterm birth.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.