2021
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 metastasis
2019
The impact of facility characteristics on Merkel cell carcinoma outcomes: A retrospective cohort study
Cheraghlou S, Agogo GO, Girardi M. The impact of facility characteristics on Merkel cell carcinoma outcomes: A retrospective cohort study. Journal Of The American Academy Of Dermatology 2019, 89: 70-80. PMID: 31473294, DOI: 10.1016/j.jaad.2019.08.058.Peer-Reviewed Original ResearchConceptsMerkel cell carcinomaPropensity score-matched cohortDisease-specific survivalPatient survivalCase volumeRare neuroendocrine skin cancerTreatment of MCCVolume facilitiesFacility characteristicsLocal recurrence dataNational Cancer DatabaseRetrospective cohort studyRetrospective cohort analysisHigh-volume centersNeuroendocrine skin cancerAcademic affiliationFacility-level characteristicsMCC outcomesCohort studyExperienced centersRare malignancyNonacademic facilitiesCell carcinomaCancer DatabaseCohort analysis