Evidence map›Paper›PMID 41903191›Full record

ArticleUltrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology2026

First-trimester prediction and prevention of preterm pre-eclampsia in women with chronic hypertension.

D L Rolnik, S Gil-Pugliese, A Syngelaki, E Bujold, D Wright, L C Poon, K H Nicolaides, ASPRE and SPREE Collaborators

Abstract readMulticenter Study
In one paragraph

Article in Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

D L RolnikDepartment of Obstetrics and Gynaecology, Monash University, Melbourne, Australia.ORCID 0000-0002-2263-3592
S Gil-PuglieseDepartment of Perinatology, University Institute of Biomedical Sciences of Córdoba, Córdoba, Argentina.ORCID 0000-0003-2725-971X
A SyngelakiFetal Medicine Research Institute, King's College Hospital, London, UK.ORCID 0000-0001-5856-6072
E BujoldFaculty of Medicine and Research Center, Department of Obstetrics and Gynecology, Centre Hospitalier Universitaire de Québec, Université Laval, Quebec City, QC, Canada.ORCID 0000-0002-6936-4369
D WrightDepartment of Clinical and Biomedical Science, University of Exeter, Exeter, UK.ORCID 0000-0003-4800-3190
L C PoonDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-3944-4130
K H NicolaidesFetal Medicine Research Institute, King's College Hospital, London, UK.ORCID 0000-0003-3515-7684
ASPRE and SPREE Collaborators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the effect of aspirin on gestational age at delivery due to preterm pre-eclampsia (PE) in women with chronic hypertension (CH), to assess the predictive performance of the Fetal Medicine Foundation (FMF) first-trimester competing-risks model for preterm PE in this high-risk group and to evaluate how parity, previous PE and biomarker values influence individualized risk estimates.

methodsWe analyzed data from two multicenter first-trimester PE screening studies: the Combined Multimarker Screening and Randomized Patient Treatment with Aspirin for Evidence-based Preeclampsia Prevention trial and the Screening Program for Preeclampsia trial. The effect of aspirin on gestational age at delivery due to PE was assessed using Bayesian inference. The screening performance of the FMF model was evaluated by discrimination, calibration and decision-curve analysis. The influence of parity, previous PE and biomarkers (mean arterial pressure (MAP), uterine artery pulsatility index (UtA-PI) and placental growth factor (PlGF)) on risk classification was explored using empirical data and Monte Carlo simulations with generalized additive models.

resultsThe combined dataset included 51 024 women with a singleton pregnancy, of whom 556 (1.1%) had CH. Among the women with CH, 58 (10.4%) developed preterm PE. Bayesian analysis indicated that aspirin delayed delivery due to PE by a mean of 3.6 (95% credible interval, 0.2-6.6) weeks, with a 98% posterior probability of benefit. The FMF model demonstrated good discrimination (area under the receiver-operating-characteristics curve, 0.819 (95% CI, 0.763-0.874)), adequate calibration and higher net benefit compared with a treat-all approach. Overall, 21.8% of women with CH were classified as low risk (< 1 in 100) for preterm PE, consisting mostly of nulliparous women and parous women without previous PE. Predicted risks for preterm PE were strongly influenced by MAP and PlGF, with UtA-PI contributing to a lesser extent.

conclusionsIn women with CH, aspirin can delay delivery due to preterm PE, and first-trimester risk assessment using the FMF competing-risks model reliably identifies low- and high-risk individuals. The predicted risk is driven primarily by MAP and PlGF, supporting risk stratification and individualized management in early pregnancy. © 2026 The Author(s). Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Indexed as

AspirinHypertensionPre-EclampsiaAdultBayes TheoremBiomarkersChronic DiseaseFemaleGestational AgeHumansParityPlacenta Growth FactorPrediction AlgorithmsPredictive Value of TestsPregnancyPregnancy Trimester, FirstAspirinBiomarkersPGF protein, humanPlacenta Growth Factoraspirinbiomarkerschronic hypertensionFMFPEpredictionpre‐eclampsiapreventionrisk

Identifiers

PMID41903191
PMCPMC13136060

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.