Machine learning-based identification of CYBB and FCAR as potential neutrophil extracellular trap-related treatment targets in sepsis.

Front Immunol · 2023 · PMC10613076 · PMID 37901228

Europe PMC DOI

hedged sentences

—

closest p

—

boldest claim

The sentences

failed to reach statistical significanceno p-value reported

Subsequently, we generated and merged a clustering tree ( Figures 3C, D ), and then assessed the correlations between the modules, and found that the results failed to reach statistical significance ( Figure S2B ).

also in 6,035 other papers

an increasing trendno p-value reported

Verification analysis of the seven core genes in GSE145227 demonstrated that the expression of MMP9 , SLC22A4 , FCAR , PADI4 , and S100A12 differed significantly between the sepsis and healthy groups, and all of them showed an increasing trend; however, levels of CYBB and DNASE1 did not differ significantly between the groups.

also in 63,971 other papers

Quoted from the open-access full text in Europe PMC under the licence the publisher applied. The sentence is reproduced exactly as published; the emphasis is ours.