ArticleScience advances2023
Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countries.
Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
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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.
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Who cites it
26 citing papers in PubMed, 30 citations in OpenAlex.
- Prediction of Spontaneous Preterm Birth in the Second Trimester: Current Models, Limitations, and the Way Forward.Indian journal of pediatrics · 2026Review
- Immunological maladaptation preceding spontaneous preterm birth in human pregnancies.Nature communications · 2026Article
- Multiomics characterization of acute child illness and mortality in Africa and South Asia.Nature communications · 2026Article
- Multi-Omics for Mothers and Infants (MOMI) Consortium: a global initiative to study adverse pregnancy outcomes.Journal of global health · 2026Article
- Maternal amino acid metabolites during pregnancy and preterm birth: results from two prospective cohort studies.BMC medicine · 2026Article
- Prematurity and Multidimensional Risk Patterns in Adolescent and Adult Pregnancies: A Principal Component Analysis in an Eastern European Cohort.Children (Basel, Switzerland) · 2025Article
- Maternal lipidomic signatures of preterm and small-for-gestational-age newborn infants in low- and middle-income countries.Science advances · 2025Article
- Associations of neonatal birth outcomes with amino acids and acylcarnitines: an observational study of over 3.3 million newborns in China.BMC medicine · 2025Observational
- Data science and artificial intelligence for maternal, newborn and child health: scoping review and thematic analysis.BMC public health · 2025Article
- Development and validation of machine learning models for predicting bronchopulmonary dysplasia risk in preterm neonates based on antenatal determinants: a retrospective cohort study.BMC pediatrics · 2025Article
- Towards a new taxonomy of preterm birth.Journal of perinatology : official journal of the California Perinatal Association · 2025Review
- Mitigation of outcome conflation in predicting patient outcomes using electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Application of Multiomics in Perinatology: A Metabolomics Integration-Focused Review.International journal of molecular sciences · 2025Review
- Effect of initiation of antiretroviral drugs for HIV prevention or treatment on the vaginal microbiome of pregnant women in Malawi.NPJ biofilms and microbiomes · 2025Article
- Advancing neonatal health: the promise and challenges of universal genome sequencing in newborn screening.Pediatric research · 2025Article
- A multi-omics spatial framework for host-microbiome dissection within the intestinal tissue microenvironment.Nature communications · 2025Article
- Generating pregnant patient biological profiles by deconvoluting clinical records with electronic health record foundation models.Briefings in bioinformatics · 2024Article
- Reassessing acquired neonatal intestinal diseases using unsupervised machine learning.Pediatric research · 2024Article
- Computational Approaches for Predicting Preterm Birth and Newborn Outcomes.Clinics in perinatology · 2024Review
- Predicting Spontaneous Preterm Birth Using the Immunome.Clinics in perinatology · 2024Review
Corrections and comments
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Authors and funding
57 authors at 9 institutions in 5 countries.
Funding
Abstract
Preterm birth (PTB) is the leading cause of death in children under five, yet comprehensive studies are hindered by its multiple complex etiologies. Epidemiological associations between PTB and maternal characteristics have been previously described. This work used multiomic profiling and multivariate modeling to investigate the biological signatures of these characteristics. Maternal covariates were collected during pregnancy from 13,841 pregnant women across five sites. Plasma samples from 231 participants were analyzed to generate proteomic, metabolomic, and lipidomic datasets. Machine learning models showed robust performance for the prediction of PTB (AUROC = 0.70), time-to-delivery (
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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.