ArticleScientific reports2024
Evaluating the predictive efficacy of first trimester biochemical markers (PAPP-A, fβ-hCG) in forecasting preterm delivery incidences.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evaluation of Maternal Inflammatory Biomarkers in Preterm Prelabor Rupture of Membranes: A Systematic Review and Meta-Analysis.Medicina (Kaunas, Lithuania) · 2025Pooled it
- Forecasting preterm birth in Kazakhstan through 2050: a cohort-component demographic modeling study.Global health action · 2026Article
- The Significance of YKL-40, a Marker Involved in Extracellular Matrix Remodeling, in Preterm Prelabor Rupture of Membranes: A Prospective Observational Study.Diagnostics (Basel, Switzerland) · 2026Article
- Excessively High Maternal Total Cell-Free DNA Concentration and Fetal Growth Restriction in Singleton Pregnancies: A Retrospective Cohort Study.Journal of clinical medicine · 2026Article
- Fetal Heart Rate at 12 Weeks' Gestation and the Risk of Preterm Birth: A Prospective Validation Study.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2026Article
- First-Trimester Neutrophil Percentage-to-Albumin Ratio Adds Meaningful Additive Prognostic Utility for Early-Onset Preeclampsia: A Nested Case-Control Study.Journal of clinical medicine · 2026Article
- Clinical Characteristics, Maternal and Neonatal Outcomes in Women with Placenta Previa Compared with Breech Cesarean Controls: A Retrospective Case-Control Study from a Single Tertiary Center in Lithuania.Medicina (Kaunas, Lithuania) · 2026Article
- The Association Between Amniocentesis and Adverse Pregnancy Outcomes in Pregnancies with Normal/Reportable Test Results: An Indication-Based Comparison with Non-Invasive Prenatal Testing.Diagnostics (Basel, Switzerland) · 2026Article
- Low PAPP-A Levels and Growth in Twin Pregnancies.Life (Basel, Switzerland) · 2026Article
- A midtrimester dynamic ultrasound and growth-deviation model for predicting preterm birth in velamentous cord insertion: development and risk stratification.Frontiers in global women's health · 2026Article
- PAPPA's role in female reproduction.Reproduction (Cambridge, England) · 2025Review
- Combined First-Trimester PAPP-A and Free β-hCG Levels for the Early Diagnosis of Placenta Accreta Spectrum and Placenta Previa: A Case-Control Study.International journal of molecular sciences · 2025Article
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Authors and funding
7 authors.
Funding
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Abstract
In this investigation, we explored the correlation between first-trimester biochemical markers and the incidence of preterm birth (PTB), irrespective of the cause, spontaneous preterm birth (sPTB), and preterm premature rupture of membranes (pPROM) within a cohort comprising 1164 patients. It was discovered that diminished levels of Pregnancy-Associated Plasma Protein-A (PAPP-A) between 11 and 13 + 6 weeks of gestation significantly contributed to the risk of preterm deliveries both before 35 and 37 weeks, as well as to pPROM instances. Furthermore, women experiencing sPTB before the 37th week of gestation also exhibited lower concentrations of PAPP-A. Moreover, reduced first-trimester concentrations of free beta-human chorionic gonadotropin (fb-HCG) were identified as a risk factor for deliveries preceding 37 weeks, pPROM, and sPTB before 35 weeks of gestation. Despite these correlations, the area under the curve for these biochemical markers did not surpass 0.7, indicating their limited diagnostic potential. The most significant discriminatory capability was noted for PAPP-A levels, with a threshold of < 0.71 multiples of the median (MoM) predicting PTB before 37 weeks, yielding an odds ratio of 3.11 (95% Confidence Interval [CI] 1.97-4.92). For sPTB, the greatest discriminatory potential was observed for PAPP-A < 0.688, providing an OR of 2.66 (95% CI 1.51-4.66). The cut-off points corresponded to accuracies of 76.05% and 79.1%, respectively. In regression analyses, the combined predictive models exhibited low explanatory power with R
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