Evidence map›Paper›PMID 30439652›Full record

ArticleEuropean journal of obstetrics, gynecology, and reproductive biology2018

Pre-pregnancy or first-trimester risk scoring to identify women at high risk of preterm birth.

Rebecca J Baer, Monica R McLemore, Nancy Adler, Scott P Oltman, Brittany D Chambers, Miriam Kuppermann, Matthew S Pantell, Elizabeth E Rogers, Kelli K Ryckman, Marina Sirota and 2 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. 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 · 2025
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  9. A Scoping Review of Preterm Birth Risk Factors.American journal of perinatology · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Rebecca J BaerDepartment of Pediatrics, University of California San Diego, La Jolla, CA, United States; California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, United States. Electronic address: rjbaer@ucsd.edu.
Monica R McLemoreCalifornia Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, United States; Department of Family Health Care Nursing, University of California San Francisco School of Nursing, San Francisco, CA, United States.
Nancy AdlerDepartments of Psychiatry and Pediatrics, Center for Health and Community, University of California San Francisco School of Medicine, San Francisco, CA, United States.
Scott P OltmanCalifornia Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, United States; Department of Epidemiology & Biostatistics, University of California San Francisco School of Medicine, San Francisco, CA, United States.
Brittany D ChambersCalifornia Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, United States; Department of Epidemiology & Biostatistics, University of California San Francisco School of Medicine, San Francisco, CA, United States.
Miriam KuppermannCalifornia Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, United States; Department of Epidemiology & Biostatistics, University of California San Francisco School of Medicine, San Francisco, CA, United States; Department of Obstetrics, Gynecology & Reproductive Sciences, University of California San Francisco School of Medicine, San Francisco, San Francisco, CA, United States.
Matthew S PantellDepartment of Pediatrics, University of California San Francisco School of Medicine, San Francisco, CA, United States.
Elizabeth E RogersCalifornia Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, United States; Department of Pediatrics, University of California San Francisco School of Medicine, San Francisco, CA, United States.
Kelli K RyckmanDepartments of Epidemiology and Pediatrics, University of Iowa College of Public Health and Carver College of Medicine, Iowa City, IA, United States.
Marina SirotaInstitute for Computational Health Sciences University of California San Francisco, San Francisco, CA, United States.
Larry RandCalifornia Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, United States; Department of Obstetrics, Gynecology & Reproductive Sciences, University of California San Francisco School of Medicine, San Francisco, San Francisco, CA, United States.
Laura L Jelliffe-PawlowskiCalifornia Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, United States; Department of Epidemiology & Biostatistics, University of California San Francisco School of Medicine, San Francisco, CA, United States.

Funding

UCSF/Kaiser-DOR Program for Developing Independent Women's Health ResearchersK12HD052163 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ADLER, NANCY E, BRINDIS, CLAIRE D. · 2005 to 2023
$9.3M
Elucidating the Role of the Genetic and Environmental Determinants of Preterm Birth Using Integrative Computational ApproachesK01LM012381 · NLM · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SIROTA, MARINA · 2016 to 2018
$531k
NICHD NIH HHS K12 HD052163NLM NIH HHS K01 LM012381
6 · The paper itself

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

Pregnancy, High-RiskPregnancy Trimester, FirstPrenatal CareAdolescentAdultCaliforniaFemaleHumansInfant, NewbornMaternal AgePregnancyPregnancy OutcomePremature BirthRetrospective StudiesRisk AssessmentRisk FactorsBeta-coefficientCumulative riskFirst-trimesterPreterm birthRisk score

Identifiers

PMID30439652
PMCPMC6697157

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Registered trials

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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.