Evidence map›Paper›PMID 42857332›Full record

ArticleAnalytical science advances2026

Predicting the Risk of Proteinuria Based on Blood Plasma Fourier-Transform Infrared Spectroscopy and Machine Learning Algorithms From Pregnant Women and Newborns.

Camila Lopes Ferreira, Sara Maria Santos Dias da Silva, Luma Martins Aleixo de Oliveira, Vitórya Carvalho Pádua de Magalhães, Simone Lima Silva, Sheila Cavalca Cortelli, Rodrigo Augusto Silva, Jaqueline Maria Brandão Rizzato, Marcelo Saito Nogueira, Luís Felipe Das Chagas E Silva de Carvalho

Abstract read
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In one paragraph

Article in Analytical science advances, 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

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

10 authors.

Camila Lopes FerreiraHealth Science Post-Graduate Program University of Taubaté - UNITAU Taubaté Brazil.ORCID https://orcid.org/0000-0002-2320-6525
Sara Maria Santos Dias da SilvaHealth Science Post-Graduate Program University of Taubaté - UNITAU Taubaté Brazil.ORCID https://orcid.org/0000-0002-0519-7688
Luma Martins Aleixo de OliveiraDentistry, University of Taubaté - UNITAU Taubaté Brazil.ORCID https://orcid.org/0009-0008-9375-0631
Vitórya Carvalho Pádua de MagalhãesHealth Science Post-Graduate Program University of Taubaté - UNITAU Taubaté Brazil.ORCID https://orcid.org/0000-0001-7566-3552
Simone Lima SilvaHealth Science Post-Graduate Program University of Taubaté - UNITAU Taubaté Brazil.
Sheila Cavalca CortelliHealth Science Post-Graduate Program University of Taubaté - UNITAU Taubaté Brazil.ORCID https://orcid.org/0000-0003-0809-6935
Rodrigo Augusto SilvaHealth Science Post-Graduate Program University of Taubaté - UNITAU Taubaté Brazil.ORCID https://orcid.org/0000-0002-7754-1855
Jaqueline Maria Brandão RizzatoHealth Science Post-Graduate Program University of Taubaté - UNITAU Taubaté Brazil.ORCID https://orcid.org/0000-0001-5936-6152
Marcelo Saito Nogueira *Department of Electronic and Computer Engineering University of Limerick Limerick Ireland.ORCID https://orcid.org/0000-0002-5611-9620
Luís Felipe Das Chagas E Silva de Carvalho *Health Science Post-Graduate Program University of Taubaté - UNITAU Taubaté Brazil.ORCID https://orcid.org/0000-0003-1063-4624

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteinuria, defined by an abnormally elevated concentration of proteins in the urine, serves as a critical biomarker for the early detection and diagnosis of preeclampsia. Elevated proteinuria levels adversely affect both maternal and foetal health, increasing the risk of preterm birth and low birth weight. This study focused on the identification of proteinuria in blood samples through Fourier-transform infrared (FTIR) spectroscopy as a diagnostic tool for real-time diagnosis. Blood plasma collected during birth was evaluated in four study groups: pregnant controls (

Indexed as

blood plasmaFTIR spectroscopymachine learningmaternal and child healthpregnancy hypertensionprenatal diagnosis

Identifiers

PMID42857332
PMCPMC13652351

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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.