Evidence map›Paper›PMID 41003931›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2025

Early changes in urine

Diego F Salgueiro, Warley Barbosa, Tiago Vieira, Pedro Balikian, Orival Júnior, Tiago R Figueira

Abstract read
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In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2025. 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

6 authors.

Diego F SalgueiroPhysical Education Faculty, Sports Science Department, State University of Campinas, Campinas, Brazil. diegosalgueiro@gmail.com.ORCID http://orcid.org/0000-0002-5712-1546
Warley BarbosaInstitute of Computing, Alagoas Federal University, Maceió, Brazil.ORCID http://orcid.org/0000-0001-5567-6065
Tiago VieiraInstitute of Computing, Alagoas Federal University, Maceió, Brazil.ORCID http://orcid.org/0000-0002-5202-2477
Pedro BalikianInstitute of Physical Education and Sport, Alagoas Federal University, Maceió, Brazil.ORCID http://orcid.org/0000-0001-5530-7446
Orival JúniorPhysical Education Faculty, Sports Science Department, State University of Campinas, Campinas, Brazil.ORCID http://orcid.org/0000-0001-6126-3638
Tiago R FigueiraSchool of Physical Education and Sport of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil.ORCID http://orcid.org/0000-0003-2228-2646

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) Finance Code 001
6 · The paper itself

Abstract

introductionMonitoring training for optimal performance outcomes requires input information for decision-making. Identifying quantitative variables that can predict exercise-induced adaptations asynchronously is methodologically challenging and likely requires a large matrix of data.

objectivesThis study aimed to track early metabolite changes as potential predictors of improvements in performance-related variables following a 5-week military training program.

methodsWe performed metabolomic analysis using

resultsFifteen metabolites whose early changes (on days 2 and 7) significantly predicted gains in performance variables (body mass index, R

conclusionsUrinary metabolomics can suggest changes in metabolites that predict later performance gains. The identified metabolites are associated with vitamins, coenzymes, or energy metabolism intermediates.

Indexed as

MetabolomicsMilitary PersonnelAdultExerciseFemaleHumansMagnetic Resonance SpectroscopyMaleMetabolomeProton Magnetic Resonance SpectroscopyYoung Adult1H-NMR metabolomicsBiomarker discoveryCitrate, vitamins, urinalysisPerformance prediction

Identifiers

PMID41003931

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.