2022
Immune checkpoint inhibitors in malignancies after liver transplantation: A systematic review and pooled analysis
Kayali S, Pasta A, Torres M, Jaffe A, Strazzabosco M, Marenco S, Giannini EG. Immune checkpoint inhibitors in malignancies after liver transplantation: A systematic review and pooled analysis. Liver International 2022, 43: 8-17. PMID: 36102312, PMCID: PMC10087158, DOI: 10.1111/liv.15419.Peer-Reviewed Original ResearchMeSH KeywordsCarcinoma, HepatocellularGraft RejectionHumansImmune Checkpoint InhibitorsLiver NeoplasmsLiver TransplantationConceptsImmune checkpoint inhibitorsLiver transplant recipientsGraft rejectionOverall survivalICI therapyCheckpoint inhibitorsICI treatmentPooled analysisSystematic reviewDe novo malignanciesAcute graft rejectionDisease control rateRecurrent hepatocellular carcinomaShorter overall survivalGraft lossNovo malignanciesLiver transplantationLT recipientsTransplant recipientsAdvanced malignanciesProspective studyControl rateCase reportHepatocellular carcinomaPatients
2014
A Bayesian methodology to improve prediction of early graft loss after liver transplantation derived from the Liver Match study
Angelico M, Nardi A, Romagnoli R, Marianelli T, Corradini SG, Tandoi F, Gavrila C, Salizzoni M, Pinna AD, Cillo U, Gridelli B, De Carlis LG, Colledan M, Gerunda GE, Costa AN, Strazzabosco M, Investigators L, Committee: L, Angelico M, Cillo U, Fagiuoli S, Strazzabosco M, Board: A, Caraceni P, Toniutto P, Board: C, Costa A, Investigators: P, Salizzoni T, Romagnoli R, Bertolotti G, Patrono D, De Carlis L, Slim A, Mangoni J, Rossi G, Caccamo L, Antonelli B, Mazzaferro V, Regalia E, Sposito C, Colledan M, Corno V, Tagliabue F, Marin S, Cillo U, Vitale A, Gringeri E, Donataccio M, Donataccio D, Baccarani U, Lorenzin D, Bitetto D, Valente U, Gelli M, Cupo P, Gerunda G, Rompianesi G, Pinna A, Grazi G, Cucchetti A, Zanfi C, Risaliti A, Faraci M, Tisone G, Anselmo A, Lenci I, Sforza D, Agnes S, Di Mugno M, Avolio A, Ettorre G, Miglioresi L, Vennarecci G, Berloco P, Rossi M, Corradini S, Molinaro A, Calise F, Scuderi V, Cuomo O, Migliaccio C, Lupo L, Notarnicola G, Gridelli B, Volpes R, Petri S, Zamboni F, Carbotta G, Dedola S, Collection and Verification and Biostatistics: D, Nardi A, Marianelli T, Gavrila C, Ricci A, Vespasiano F. A Bayesian methodology to improve prediction of early graft loss after liver transplantation derived from the Liver Match study. Digestive And Liver Disease 2014, 46: 340-347. PMID: 24411484, DOI: 10.1016/j.dld.2013.11.004.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge FactorsAgedBayes TheoremBody Mass IndexCohort StudiesCold IschemiaDelayed Graft FunctionEnd Stage Liver DiseaseFemaleGraft RejectionGraft SurvivalHumansItalyLiver TransplantationMaleMiddle AgedMultivariate AnalysisPrimary Graft DysfunctionProportional Hazards ModelsProspective StudiesRisk AssessmentRisk FactorsTissue DonorsTreatment OutcomeConceptsEarly graft lossGraft lossUnited NetworkLiver transplantationPrior upper abdominal surgeryDonor body mass indexProspective European cohortsUpper abdominal surgeryOrgan Sharing registryPrimary liver transplantCold ischaemia timeBody mass indexRisk indexRecipient creatinineBayesian Cox modelsLiver transplantPortal thrombosisAbdominal surgeryCardiac deathIschaemia timeMass indexDonor ageEuropean cohortOrgan SharingCox model