Evidence map›Paper›PMID 41999300›Full record

ArticleAnalytical chemistry2026

Enhancing Vibrational Spectroscopy-Based Diagnosis through Bottom-Up Modeling: The Case of Infrared Absorption Spectrum of Urine.

Víctor Navarro-Esteve, Ángel Sánchez-Illana, José Portolés, Maria Marques-Vidas, Antonio J Sanchez-Lopez, Josep Ventura, Hugh J Byrne, Bayden R Wood, David Pérez-Guaita

Abstract read
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In one paragraph

Article in Analytical chemistry, 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
–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

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

9 authors.

Víctor Navarro-EsteveDepartment of Analytical Chemistry, University of Valencia, 46100 Burjassot, Spain.ORCID 0000-0002-1844-9848
Ángel Sánchez-IllanaDepartment of Analytical Chemistry, University of Valencia, 46100 Burjassot, Spain.ORCID 0000-0001-7630-0614
José PortolésUniversity Hospital Puerta de Hierro de Majadahonda, 28222 Majadahonda, Spain.
Maria Marques-VidasUniversity Hospital Puerta de Hierro de Majadahonda, 28222 Majadahonda, Spain.
Antonio J Sanchez-LopezNeuroimmunology Unit, Instituto de Investigación Sanitaria Puerta de Hierro-Segovia de Arana, 28222 Majadahonda, Spain.
Josep VenturaUniversity Hospital Doctor Peset Aleixandre, 46017 Valencia, Spain.
Hugh J ByrnePhysical to Life Sciences Research Hub, FOCAS, Technological University Dublin, Aungier Street, Dublin D02 HW71, Ireland.ORCID 0000-0002-1735-8610
Bayden R WoodMonash Biospectroscopy Group, School of Chemistry, Monash University, 3800 Victoria, Australia.ORCID 0000-0003-3581-447X
David Pérez-GuaitaDepartment of Analytical Chemistry, University of Valencia, 46100 Burjassot, Spain.ORCID 0000-0002-2640-2927

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vibrational spectroscopy has become a valuable tool for biomedical applications. However, the technique generates large empirical spectral data sets, requiring multivariate analysis using an ever-evolving arsenal of machine learning approaches. Optimizing and validating these algorithms requires high-quality, appropriately representative data sets with a well-defined diagnostic profile, which are not readily available for testing. This work introduces an

Indexed as

Diabetic NephropathiesUrinalysisCreatinineHumansMachine LearningSpectrophotometry, InfraredVibrationCreatinine

Identifiers

PMID41999300
PMCPMC13150815

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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.