Evidence map›Paper›PMID 40806505›Full record

ArticleInternational journal of molecular sciences2025

Sepsis Prediction: Biomarkers Combined in a Bayesian Approach.

João V B Cabral, Maria M B M da Silveira, Wilma T F Vasconcelos, Amanda T Xavier, Fábio H P C de Oliveira, Thaysa M G A L de Menezes, Keylla T F Barbosa, Thaisa R Figueiredo, Jabiael C da Silva Filho, Tamara Silva and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 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

13 authors.

João V B CabralPostgraduate Program in Therapeutic Innovation, Federal University of Pernambuco-UFPE, Professor Moraes Rego Avenue, SN, University City, Recife 50670-420, Brazil.ORCID 0000-0001-8836-7875
Maria M B M da SilveiraCollege of Nursing, University of Pernambuco-UPE, Recife 50670-901, Brazil.ORCID 0000-0002-7570-8199
Wilma T F VasconcelosPostgraduate Program in Nursing, Federal University of Paraíba-UFPB, João Pessoa 58051-900, Brazil.ORCID 0000-0003-4646-0478
Amanda T XavierAcademic Center of Vitória, Federal University of Pernambuco-UFPE, Recife 50670-420, Brazil.ORCID 0000-0001-9775-1078
Fábio H P C de OliveiraDepartment of Biostatistics, Federal Rural University of Pernambuco-UFRPE, Recife 52171-030, Brazil.ORCID 0000-0002-2337-3489
Thaysa M G A L de MenezesInstitute of Integral Medicine Professor Fernando Figueira-IMIP, Recife 50070-550, Brazil.ORCID 0000-0001-7525-9445
Keylla T F BarbosaCollege of Nursing, State University of Paraíba-UEPB, Campina Grande 58429-500, Brazil.ORCID 0000-0001-6399-002X
Thaisa R FigueiredoCollege of Nursing, University of Pernambuco-UPE, Recife 50670-901, Brazil.ORCID 0000-0002-0513-5815
Jabiael C da Silva FilhoCollege of Nursing, University of Pernambuco-UPE, Recife 50670-901, Brazil.ORCID 0000-0002-1609-1125
Tamara SilvaCollege of Nursing, University of Pernambuco-UPE, Recife 50670-901, Brazil.ORCID 0000-0001-5354-4640
Leuridan C TorresInstitute of Integral Medicine Professor Fernando Figueira-IMIP, Recife 50070-550, Brazil.ORCID 0000-0003-3517-6615
Dário C Sobral FilhoPostgraduate Program in Health Sciences, University of Pernambuco-UPE, Recife 50670-420, Brazil.ORCID 0000-0002-5301-7741
Dinaldo C de OliveiraPostgraduate Program in Therapeutic Innovation, Federal University of Pernambuco-UFPE, Professor Moraes Rego Avenue, SN, University City, Recife 50670-420, Brazil.ORCID 0000-0002-2734-2284

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is a serious public health problem. sTREM-1 is a marker of inflammatory and infectious processes that has the potential to become a useful tool for predicting the evolution of sepsis. A prediction model for sepsis was constructed by combining sTREM-1, CRP, and a leukogram via a Bayesian network. A translational study carried out with 32 children with congenital heart disease who had undergone surgical correction at a public referral hospital in Northeast Brazil. In the postoperative period, the mean value of sTREM-1 was greater among patients diagnosed with sepsis than among those not diagnosed with sepsis (394.58 pg/mL versus 239.93 pg/mL,

Indexed as

BiomarkersSepsisBayes TheoremChildChild, PreschoolC-Reactive ProteinFemaleHumansInfantLeukocyte CountMaleROC CurveTriggering Receptor Expressed on Myeloid Cells-1BiomarkersC-Reactive ProteinTREM1 protein, humanTriggering Receptor Expressed on Myeloid Cells-1Bayes theorembiomarkerscardiac surgerysepsissTREM-1

Identifiers

PMID40806505
PMCPMC12347722

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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.