Evidence map›Paper›PMID 41914152›Full record

ArticleInternational journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics2026

Second-trimester multimetabolite panel for early preeclampsia rule-out.

Matthews Silva Martins, Julyane N S Kaihara, Diego Fortes Salgueiro, Viviane Cunha Cardoso, Silvana Maria Quintana, Ricardo Carvalho Cavalli, Valerio Garrone Barauna, Valeria Cristina Sandrim

Abstract read
In one paragraph

Article in International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

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.

Matthews Silva MartinsDepartment of Physiological Sciences, Health Sciences Center, Federal University of Espírito Santo, Vitoria, ES, Brazil.
Julyane N S KaiharaDepartment of Biophysics and Pharmacology, Institute of Biosciences of Botucatu, São Paulo State University, Botucatu, SP, Brazil.ORCID https://orcid.org/0000-0003-4881-8488
Diego Fortes SalgueiroSchool of Physical Education and Sport, University of São Paulo (USP), Ribeirão Preto, SP, Brazil.
Viviane Cunha CardosoDepartment of Childcare and Pediatrics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil.
Silvana Maria QuintanaDepartment of Gynecology and Obstetrics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil.
Ricardo Carvalho CavalliDepartment of Gynecology and Obstetrics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil.
Valerio Garrone BaraunaDepartment of Physiological Sciences, Health Sciences Center, Federal University of Espírito Santo, Vitoria, ES, Brazil.
Valeria Cristina SandrimDepartment of Biophysics and Pharmacology, Institute of Biosciences of Botucatu, São Paulo State University, Botucatu, SP, Brazil.ORCID https://orcid.org/0000-0002-6168-7470

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 302614/2025-7Conselho Nacional de Desenvolvimento Científico e Tecnológico 308504/2021-6Fundação de Amparo à Pesquisa do Estado de São Paulo 08/53593-0Fundação de Amparo à Pesquisa do Estado de São Paulo 21/12010-7Fundação de Amparo à Pesquisa do Estado de São Paulo 23/08897-1Fundação de Amparo à Pesquisa do Estado de São Paulo 24/01935-8National Institute of Science and Technology (INCT) program in Physical (In)Activity and Health #408899/2024-7
6 · The paper itself

Abstract

objectiveWe aimed to establish a high-sensitivity, multimetabolite rule-out model for the development of preeclampsia (PE), prioritizing minimizing false negatives to exclude low-risk individuals from intensive surveillance confidently.

methodsIn this prospective, nested case-control study, maternal serum samples were collected between 20

resultsCompared to the control group, univariate analysis revealed lower methionine and glutamine concentrations and elevated threonine levels in the case group. Classification models based on the remaining 33 metabolites, using leave-one-out cross-validation, achieved 100% sensitivity but had limited specificity (21%). A reduced four-metabolite model maintained 100% sensitivity with 50% specificity, while our refined, best-performing six-metabolite model achieved 100% sensitivity and 61% specificity with a negative predictive value of 100%.

conclusionOur models demonstrated considerable potential as diagnostic tools for ruling out PE, thereby reinforcing their future applicability in screening and monitoring strategies during gestation to improve clinical decision-making and alleviate the burden on healthcare systems.

Indexed as

MetabolomicsPre-EclampsiaPregnancy Trimester, SecondAdultBiomarkersBrazilCase-Control StudiesChromatography, LiquidFemaleGlutamineHumansMethioninePregnancyProspective StudiesSensitivity and SpecificityTandem Mass SpectrometryBiomarkersGlutamineMethioninemetabolitesmetabolomicspredictionpreeclampsiarule‐out test

Identifiers

PMID41914152
PMCPMC13505259

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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.