2025
A pooled analysis evaluating prognostic significance of Residual Cancer Burden in invasive lobular breast cancer
Mukhtar R, Gottipati S, Yau C, López-Tarruella S, Earl H, Hayward L, Hiller L, Osdoit M, van der Noordaa M, de Croze D, Hamy A, Laé M, Reyal F, Sonke G, Steenbruggen T, van Seijen M, Wesseling J, Martín M, del Monte-Millán M, Boughey J, Goetz M, Hoskin T, Valero V, Edge S, Abraham J, Bartlett J, Caldas C, Dunn J, Provenzano E, Sammut S, Thomas J, Graham A, Hall P, Mackintosh L, Fan F, Godwin A, Schwensen K, Sharma P, DeMichele A, Cole K, Pusztai L, Kim M, J van ’t Veer L, Cameron D, Esserman L, Fraser Symmans W. A pooled analysis evaluating prognostic significance of Residual Cancer Burden in invasive lobular breast cancer. Npj Breast Cancer 2025, 11: 14. PMID: 39948079, PMCID: PMC11825822, DOI: 10.1038/s41523-025-00720-3.Peer-Reviewed Original ResearchResidual cancer burdenInvasive lobular carcinomaEvent-free survivalNeoadjuvant chemotherapyBreast cancerAssociated with worse event-free survivalResidual cancer burden indexInvasive lobular breast cancerCancer burdenLobular breast cancerNodal statusLobular carcinomaNAC responseT categoryPrognostic significanceStratify prognosisPatient-level dataReceptor subtypesPooled analysisMultivariate analysisPooled cohortRecursive partitioningCox modelCancer cellularityCancer
2009
Direct comparison of logistic regression and recursive partitioning to predict chemotherapy response of breast cancer based on clinical pathological variables
Rouzier R, Coutant C, Lesieur B, Mazouni C, Incitti R, Natowicz R, Pusztai L. Direct comparison of logistic regression and recursive partitioning to predict chemotherapy response of breast cancer based on clinical pathological variables. Breast Cancer Research And Treatment 2009, 117: 325-331. PMID: 19152025, DOI: 10.1007/s10549-009-0308-2.Peer-Reviewed Original Research
2005
Applying Recursive Partitioning to a Prospective Study of Factors Associated with Adherence to Mammography Screening Guidelines
Calvocoressi L, Stolar M, Kasl SV, Claus EB, Jones BA. Applying Recursive Partitioning to a Prospective Study of Factors Associated with Adherence to Mammography Screening Guidelines. American Journal Of Epidemiology 2005, 162: 1215-1224. PMID: 16221800, DOI: 10.1093/aje/kwi337.Peer-Reviewed Original ResearchConceptsMammography screening guidelinesScreening guidelinesProspective studyHealth care provider recommendationSubgroup of womenHistory of adherenceBreast cancer susceptibilityNovel intervention strategiesRecursive partitioningAdherent subgroupAnnual family incomeProvider recommendationScreening behaviorWhite womenCancer susceptibilityAdherenceWomenCandidate predictorsIntervention strategiesSubgroupsPredictorsInitial screeningFamily incomeMost adherentGuidelines
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