Evidence map›Paper›PMID 41294257›Full record

ArticleAnnals of medicine2025

Short-term preeclampsia prediction: cutoff variations for sFlt-1/PlGF in U.S. Patients with or without hypertensive disorders.

Yaxin Li, Kristen Cagino, Jim Yee, Caroline Andy, Dajana Borova, Ayush Shah, Isla Racine, Tracy B Grossman, Zhen Zhao

Abstract read
In one paragraph

Article in Annals of medicine, 2025. 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

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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.

2 · The registry

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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

5 · Who and what money

Authors and funding

9 authors.

Yaxin LiDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA.
Kristen CaginoMcGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Jim YeeDavid Geffen School of Medicine, University of California, Los Angeles, California, USA.
Caroline AndyDivision of Biostatistics, Department of Population Health Sciences, Weill Cornell Medicine, New York, New York, USA.
Dajana BorovaAtlantic Health System, Morristown Medical Center, Morristown, New Jersey, USA.
Ayush ShahSidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Isla RacineHunter College Campus Schools, New York, New York, USA.
Tracy B GrossmanDivision of Maternal-Fetal Medicine, New York Presbyterian-Brooklyn Methodist Hospital, Brooklyn, New York, USA.
Zhen ZhaoDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA.

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
NCATS NIH HHS UL1 TR001873NCATS NIH HHS UL1 TR002384
6 · The paper itself

Abstract

backgroundPreeclampsia (PE) is a complex disorder with significant maternal and fetal risks. The soluble fms-like tyrosine kinase-1 (sFlt-1) and placental growth factor (PlGF) ratio shows promise as a diagnostic tool, but its adoption in the U.S. remains limited due to the lack of accessible testing platforms, U.S.-based studies, and evidence-based implementation guidelines. PATIENTS/MATERIALS AND

methodsWe conducted a cohort study to evaluate the sFlt-1/PlGF ratio for predicting PE within two weeks among pregnant individuals ≥18 years, ≥20 weeks gestation. Serum samples were obtained from routine prenatal visits or triage evaluations. sFlt-1/PlGF ratios were measured using Roche Elecsys assays, and performance was assessed by receiver operating characteristics (ROC) curve analysis with logistic regression, bootstrapping, and cross-validation.

resultsThe sFlt-1/PlGF ratio was higher in hypertensive (

conclusionsPerformance differed between the overall and hypertensive populations, supporting the need for population-specific thresholds and further guidance for clinical implementation in the U.S.

Indexed as

Placenta Growth FactorPre-EclampsiaVascular Endothelial Growth Factor Receptor-1AdultBiomarkersCohort StudiesFemaleHumansPredictive Value of TestsPregnancyROC CurveSensitivity and SpecificityUnited StatesYoung AdultBiomarkersFLT1 protein, humanPGF protein, humanPlacenta Growth FactorVascular Endothelial Growth Factor Receptor-1cross-validationhypertensive disorderspredictionPreeclampsiasFlt-1/PlGF

Identifiers

PMID41294257
PMCPMC12667344

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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.