A machine‐learning modified CART algorithm informs Merkel cell carcinoma prognosis
Cheraghlou S, Sadda P, Agogo GO, Girardi M. A machine‐learning modified CART algorithm informs Merkel cell carcinoma prognosis. Australasian Journal Of Dermatology 2021, 62: 323-330. PMID: 34028790, DOI: 10.1111/ajd.13624.Peer-Reviewed Original ResearchConceptsNational Cancer DatabaseMerkel cell carcinomaPositive lymph node countLymph node countPositive nodesDistant metastasisValidation cohortRare neuroendocrine skin cancerRetrospective cohort studyEnd Results registryLymph node biopsyLymph node metastasisThree-year survivalNeuroendocrine skin cancerNovel prognostic factorHigh mortality rateNode countAJCC groupsMCC stagingSEER cohortCohort studyMCC patientsNode biopsyPrognostic factorsNode metastasisAssociation of Treatment Facility Characteristics With Overall Survival After Mohs Micrographic Surgery for T1a-T2a Invasive Melanoma
Cheraghlou S, Christensen SR, Leffell DJ, Girardi M. Association of Treatment Facility Characteristics With Overall Survival After Mohs Micrographic Surgery for T1a-T2a Invasive Melanoma. JAMA Dermatology 2021, 157: 531-539. PMID: 33787836, PMCID: PMC8014201, DOI: 10.1001/jamadermatol.2021.0023.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedFemaleHealth FacilitiesHumansMaleMelanomaMiddle AgedMohs SurgeryNeoplasm InvasivenessProportional Hazards ModelsRetrospective StudiesSkin NeoplasmsTreatment OutcomeConceptsMohs micrographic surgeryNational Cancer DatabaseTreatment facility characteristicsMicrographic surgeryInvasive melanomaCohort studyOverall survivalImproved long-term survivalLong-term patient survivalCox proportional hazards modelFacility characteristicsCancer-accredited facilitiesStudy of resectionRetrospective cohort studyMultivariable survival analysisWide local excisionHazard of deathTreatment of patientsLow-volume facilitiesProportional hazards modelEarly-stage melanomaFacility-level factorsLong-term survivalImproved survivalLocal excision