Biomarkers for the detection of renal fibrosis and prediction of renal outcomes: a systematic review
Mansour SG, Puthumana J, Coca SG, Gentry M, Parikh CR. Biomarkers for the detection of renal fibrosis and prediction of renal outcomes: a systematic review. BMC Nephrology 2017, 18: 72. PMID: 28219345, PMCID: PMC5319065, DOI: 10.1186/s12882-017-0490-0.Peer-Reviewed Original ResearchConceptsMatrix metalloproteinase-2Renal outcomesRenal functionRenal fibrosisStage ISystematic reviewWorse renal outcomeChronic kidney diseaseBiomarkers of fibrosisChemoattractant protein-1Diverse patient populationsGrowth factor βUrine biomarkersKidney diseaseMCP-1Patient populationDisease progressionMetalloproteinase-2FibrosisModerate positive correlationStage IIPatientsUnifying pathwayBiomarkersReliability of bloodPerspective on Clinical Application of Biomarkers in AKI
Parikh CR, Mansour SG. Perspective on Clinical Application of Biomarkers in AKI. Journal Of The American Society Of Nephrology 2017, 28: 1677-1685. PMID: 28220028, PMCID: PMC5461806, DOI: 10.1681/asn.2016101127.Peer-Reviewed Original ResearchConceptsPrognosis of AKIAvailable clinical markersClinical applicationWidespread clinical applicabilityRenal injurySerum creatinineClinical markersRepair biomarkersClinical diagnosisManagement dilemmaBiomarker performanceBiomarkersClinical applicabilityAKIBiomarker dataInjuryCreatininePrognosisDiagnosis