Evidence map›Paper›PMID 40584298›Full record

ArticleAJOG global reports2025

Prediction of preeclampsia before 11

Gabriela Capdeville, Andrea Godinez-Medina, Diana Y Copado-Mendoza, Sandra Acevedo-Gallegos, Mario R Rodriguez-Bosch, Yubia Amaya-Guel, Maria J Rodriguez-Sibaja, Mario I Lumbreras-Marquez

Abstract read
In one paragraph

Article in AJOG global reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Gabriela CapdevilleInternal Medicine Department, The American British Cowdray Medical Center, Mexico City, Mexico (Capdeville).
Andrea Godinez-MedinaMaternal-Fetal Medicine Department, Instituto Nacional de Perinatologia, Mexico City, Mexico (Medina, Mendoza, Gallegos, Bosch, Guel, Guel and Marquez).
Diana Y Copado-MendozaMaternal-Fetal Medicine Department, Instituto Nacional de Perinatologia, Mexico City, Mexico (Medina, Mendoza, Gallegos, Bosch, Guel, Guel and Marquez).
Sandra Acevedo-GallegosMaternal-Fetal Medicine Department, Instituto Nacional de Perinatologia, Mexico City, Mexico (Medina, Mendoza, Gallegos, Bosch, Guel, Guel and Marquez).
Mario R Rodriguez-BoschMaternal-Fetal Medicine Department, Instituto Nacional de Perinatologia, Mexico City, Mexico (Medina, Mendoza, Gallegos, Bosch, Guel, Guel and Marquez).
Yubia Amaya-GuelMaternal-Fetal Medicine Department, Instituto Nacional de Perinatologia, Mexico City, Mexico (Medina, Mendoza, Gallegos, Bosch, Guel, Guel and Marquez).
Maria J Rodriguez-SibajaMaternal-Fetal Medicine Department, Instituto Nacional de Perinatologia, Mexico City, Mexico (Medina, Mendoza, Gallegos, Bosch, Guel, Guel and Marquez).
Mario I Lumbreras-MarquezDepartment of Epidemiology and Public Health, Universidad Panamericana School of Medicine, Mexico City, Mexico (Marquez).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early screening for preeclampsia is crucial for preventing adverse maternal and fetal events. Current first-trimester algorithms for predicting preeclampsia are designed to evaluate individual risk between 11.0 and 13.6 weeks of gestation based on various maternal characteristics while integrating biophysical and biochemical features. However, there is limited information regarding risk assessment during earlier stages of pregnancy (i.e., <11.0 weeks gestation). Objective: To develop a prediction model for preeclampsia/eclampsia before 11.0 weeks of gestation as a proof-of-concept in a secondary analysis of the ASPIRIN trial. Study design: This study is a secondary analysis of the ASPIRIN trial, a multinational, randomized, double-blind, placebo-controlled trial. The ASPIRIN trial database, obtained from NICHD DASH, included 11,976 nulliparous pregnant women aged 18-40 with gestational ages of 6.0-13.6 weeks at randomization. Participants were assigned to receive either aspirin (81 mg/day) or placebo until 36.0 weeks or delivery. This secondary analysis included pregnancies delivered at ≥20.0 weeks, excluding those in the aspirin group or with gestational ages ≥11.0 weeks at enrollment. The composite outcome was preeclampsia/eclampsia, as reported in the ASPIRIN trial. Predictor variables available in the dataset included maternal age, education (4 levels), body mass index (BMI kg/m Results: A total of 3421 participants met the inclusion criteria, with a cumulative incidence of preeclampsia/eclampsia of 2.9% (99/3,421). Maternal age (21.96 ± 4.13 vs 20.86 ± 3.21, Conclusions: This proof-of-concept logistic regression model using first-trimester maternal characteristics demonstrated acceptable predictive performance for preeclampsia/eclampsia before 11.0 weeks of gestation. During this critical period, several interventions could be proposed to reduce preeclampsia risk, including medication adjustments, lifestyle changes, and appropriate referral if needed. Further studies are required to validate these findings and assess their clinical utility in different settings.

Indexed as

aspirinaspirin trialfirst trimester of pregnancylogistic regressionprediction modelpreeclampsiapregnancy

Identifiers

PMID40584298
PMCPMC12206146

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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.