Evidence map›Paper›PMID 41440267›Full record

ArticleBiosensors2025

Comparison of Mid and Near-Infrared Spectroscopy to Predict Creatinine, Urea and Albumin in Serum Samples as Biomarkers of Renal Function.

Diogo Serrano, Paulo Zoio, Luís P Fonseca, Cecília R C Calado

Abstract readComparative Study
In one paragraph

Article in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Diogo SerranoiBB-Institute for Bioengineering and Biosciences, i4HB-The Associate Laboratory Institute for Health and Bioeconomy, IST-Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais1, 1049-001 Lisbon, Portugal.ORCID 0009-0007-6543-8205
Paulo ZoioiBB-Institute for Bioengineering and Biosciences, i4HB-The Associate Laboratory Institute for Health and Bioeconomy, IST-Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais1, 1049-001 Lisbon, Portugal.
Luís P FonsecaiBB-Institute for Bioengineering and Biosciences, i4HB-The Associate Laboratory Institute for Health and Bioeconomy, IST-Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais1, 1049-001 Lisbon, Portugal.
Cecília R C CaladoiBB-Institute for Bioengineering and Biosciences, i4HB-The Associate Laboratory Institute for Health and Bioeconomy, IST-Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais1, 1049-001 Lisbon, Portugal.ORCID 0000-0002-5264-9755

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is relevant to develop new technologies to enable the intensive monitoring of kidney function in a minimally invasive, rapid, and economic way. With this goal, the current work compared infrared spectra in the mid- (MIR) and near-infrared (NIR) regions to predict the biomarkers of kidney function, i.e., serum creatinine, urea, and albumin. After the evaluation of diverse spectra pre-processing methods and spectral regions, it was possible to develop, in either spectral region, good to excellent regression models to predict these three biomarkers, with determination coefficients (R

Indexed as

CreatinineKidneyUreaBiomarkersHumansKidney Function TestsSpectroscopy, Near-InfraredBiomarkersCreatinineUreabiomarkersIR spectroscopykidney diseasesmonitoring

Identifiers

PMID41440267
PMCPMC12731082

What OpenQuestion holds

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Registered trials

None linked

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.