2015
Clinical nomogram to predict bone-only metastasis in patients with early breast carcinoma
Delpech Y, Bashour SI, Lousquy R, Rouzier R, Hess K, Coutant C, Barranger E, Esteva FJ, Ueno NT, Pusztai L, Ibrahim NK. Clinical nomogram to predict bone-only metastasis in patients with early breast carcinoma. British Journal Of Cancer 2015, 113: 1003-1009. PMID: 26393887, PMCID: PMC4651124, DOI: 10.1038/bjc.2015.308.Peer-Reviewed Original ResearchConceptsNon-metastatic breast cancerBreast cancerClinical nomogramCox proportional hazards regression modelProportional hazards regression modelsBone-targeted therapiesHormone receptor statusEarly breast cancerLymph node statusLymphovascular space invasionEarly breast carcinomaAnalysis of patientsHazards regression modelsPathologic variablesReceptor statusDistant metastasisTumor characteristicsNode statusSpace invasionT classificationPatient populationMedical recordsBreast carcinomaCommon siteConcordance index
2010
Nomogram to Predict Subsequent Brain Metastasis in Patients With Metastatic Breast Cancer
Graesslin O, Abdulkarim BS, Coutant C, Huguet F, Gabos Z, Hsu L, Marpeau O, Uzan S, Pusztai L, Strom EA, Hortobagyi GN, Rouzier R, Ibrahim NK. Nomogram to Predict Subsequent Brain Metastasis in Patients With Metastatic Breast Cancer. Journal Of Clinical Oncology 2010, 28: 2032-2037. PMID: 20308667, DOI: 10.1200/jco.2009.24.6314.Peer-Reviewed Original ResearchConceptsSubsequent brain metastasesBrain metastasesMetastatic breast cancerBreast cancerPatient populationMethods Electronic medical recordsStage IV breast cancerHuman epidermal growth factor receptor 2Shorter disease-free survivalEpidermal growth factor receptor 2Multivariate logistic regression analysisDisease-free survivalGrowth factor receptor 2Logistic regression analysisDesign of trialsFactor receptor 2Cross Cancer InstituteElectronic medical recordsInstitutional review boardMetastatic diseaseMetastatic sitesPrevention trialsPrognostic featuresClinical nomogramMedical records