Evidence map›Paper›PMID 38789072›Full record

ArticleAmerican journal of obstetrics and gynecology2025

A multisite study to develop and validate first trimester, circulating microparticle biomarkers for tiered risk stratification of spontaneous preterm birth in nulliparas.

Kevin P Rosenblatt, Zhen Zhang, Robert Doss, Prem P Gurnani, William A Grobman, Robert M Silver, Samuel Parry, Uma M Reddy, Sha Cao, David M Haas

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in American journal of obstetrics and gynecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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

10 authors.

Kevin P RosenblattNX Prenatal Inc, Louisville, KY.
Zhen ZhangDepartments of Pathology and Oncology, Center for Biomarker Discovery and Translation, Johns Hopkins University School of Medicine, Baltimore, MD.
Robert DossNX Prenatal Inc, Louisville, KY.
Prem P GurnaniNX Prenatal Inc, Louisville, KY.
William A GrobmanDepartment of Obstetrics and Gynecology, The Ohio State University School of Medicine, Columbus, OH.
Robert M SilverDepartment of Obstetrics and Gynecology, University of Utah School of Medicine, Salt Lake City, UT.
Samuel ParryDepartment of Obstetrics and Gynecology, University of Pennsylvania School of Medicine, Philadelphia, PA.
Uma M ReddyDepartment of Obstetrics and Gynecology, Columbia University School of Medicine, New York, NY.
Sha CaoDepartment of Biostatistics, Indiana University School of Medicine, Indianapolis, IN.
David M HaasDepartment of Obstetrics and Gynecology, Indiana University School of Medicine, Indianapolis, IN. Electronic address: dahaas@iu.edu.

Funding

Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
Preterm Birth in Nulliparous Women: An Understudied Population at Great RiskU10HD063036 · NICHD · RESEARCH TRIANGLE INSTITUTE · PI PARKER, CORETTE BREEDEN · 2010 to 2015
$19.5M
Institute for Clinical and Translational ScienceUL1TR000153 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M · 2012 to 2015
$12.1M
Prevention of Preterm Birth in high Risk Nulliparous PatientsU10HD063047 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WAPNER, RONALD · 2010 to 2014
$1.9M
Preterm Birth in Nulliparous Women: An Understudied Population at Great RiskU10HD063053 · NICHD · UNIVERSITY OF UTAH · PI SILVER, ROBERT M. · 2010 to 2014
$1.7M
Preterm Birth in Nulliparous Women: An Understudied Population at Great Risk U10HD063020 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GROBMAN, WILLIAM ADAM · 2010 to 2014
$1.6M
Preterm Birth in Nulliparous Women: An Understudied Population at Great RiskU10HD063046 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI WING, DEBORAH A · 2010 to 2014
$1.6M
Preterm Birth in Nulliparous Women: An Understudied Population at Great RiskU10HD063041 · NICHD · MAGEE-WOMEN'S RES INST AND FOUNDATION · PI SIMHAN, HYAGRIV N · 2010 to 2014
$1.5M
Preterm Birth in Nulliparous Women: An Understudied Population at Great RiskU10HD063048 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI PARRY, SAMUEL I. · 2010 to 2014
$1.5M
Dissecting the Genetic Etiology of Preterm Birth in Nulliparous WomenU10HD063037 · NICHD · INDIANA UNIVERSITY INDIANAPOLIS · PI HAAS, DAVID M. · 2010 to 2014
$1.2M
Adverse Outcomes in Nulliparous Pregnancies: The Ohio CollaborativeU10HD063072 · NICHD · CASE WESTERN RESERVE UNIVERSITY · PI MERCER, BRIAN M. · 2010 to 2014
$1.2M
NCATS NIH HHS UL1 TR000153NCATS NIH HHS UL1 TR001108NICHD NIH HHS U10 HD063020NICHD NIH HHS U10 HD063036NICHD NIH HHS U10 HD063037NICHD NIH HHS U10 HD063041NICHD NIH HHS U10 HD063046NICHD NIH HHS U10 HD063047NICHD NIH HHS U10 HD063048NICHD NIH HHS U10 HD063053NICHD NIH HHS U10 HD063072
6 · The paper itself

Abstract

backgroundDespite much research, advances in early prediction of spontaneous preterm birth (sPTB) has been slow. The evolving field of circulating microparticle (CMP) biology may identify novel blood-based, and clinically useful, biomarkers.

objectiveTo test the ability of a previously identified, 7-marker set of CMP-derived proteins from the first trimester of pregnancy, in the form of an in vitro diagnostic multivariate index assay (IVDMIA), to stratify pregnant patients according to their risk for sPTB. STUDY

designWe employed a previously validated set of CMP protein biomarkers, utilizing mass spectrometry assays and a nested case-control design in a subset of participants from the Nulliparous Pregnancy Outcomes Study: monitoring mothers-to-be (nuMoM2b). We evaluated these biomarkers in the form of an IVDMIA to predict risk for sPTB at different gestational ages. Plasma samples collected at 9- to 13-weeks' gestation were analyzed. The IVDMIA assigned subjects to 1 of 3 sPTB risk categories: low risk (LR), moderate risk (MR), or high risk (HR). Independent validation on a set-aside set confirmed the IVDMIA's performance in risk stratification.

resultsSamples from 400 participants from the nuMoM2b cohort were used for the study; of these, 160 delivered<37 weeks and 240 delivered at term. Through Monte Carlo simulation in which the validation results were adjusted based on actual weekly sPTB incidence rates in the nuMoM2b cohort, the IVDMIA stratifications demonstrated statistically significant differences among the risk groups in time-to-event (birth) analysis (P<.0001). The incidence-rate adjusted cumulative risks of sPTB at ≤32 weeks' gestation were 0.4%, 1.6%, and 7.5%, respectively for the LR, MR, and HR groups, respectively. Compared to the LR group, the corresponding risk ratios of the IVDMIA assigned MR and HR group were 4.25 (95% confidence interval [CI] 2.2-7.9) and 19.92 (95% CI 10.4-37.4), respectively.

conclusionA first trimester CMP protein biomarker panel can be used to stratify risk for sPTB at different gestational ages. Such a multitiered stratification tool could be used to assess risk early in pregnancy to enable timely clinical management and interventions, and, ultimately, to enable the development of tailored care pathways for sPTB prevention.

Indexed as

Cell-Derived MicroparticlesPregnancy Trimester, FirstPremature BirthAdultBiomarkersCase-Control StudiesFemaleGestational AgeHumansParityPregnancyRisk AssessmentBiomarkersbiomarkercirculating microparticlesnulliparaspredictionspontaneous preterm birth

Identifiers

PMID38789072
PMCPMC11584339

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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.