2021
Sociodemographic and hospital‐based predictors of intense end‐of‐life care among children, adolescents, and young adults with hematologic malignancies
Mun S, Wang R, Ma X, Ananth P. Sociodemographic and hospital‐based predictors of intense end‐of‐life care among children, adolescents, and young adults with hematologic malignancies. Cancer 2021, 127: 3817-3824. PMID: 34185881, PMCID: PMC8478813, DOI: 10.1002/cncr.33764.Peer-Reviewed Original ResearchConceptsHematologic malignanciesYoung adultsLife careMultivariable logistic regression modelCancer-directed treatmentPremier Healthcare DatabaseRetrospective cohort studyEmergency department visitsIntensive care unitHigh-intensity endDays of lifeMajority of childrenLogistic regression modelsIntravenous chemotherapyTracheostomy placementCohort studyDepartment visitsCare unitMechanical ventilationHospital characteristicsMultivariable modelCardiopulmonary resuscitationType of insuranceHealthcare databasesMalignancy
2007
Clustering in the incidence of myelodysplastic syndromes
Ma X, Selvin S, Raza A, Foti K, Mayne ST. Clustering in the incidence of myelodysplastic syndromes. Leukemia Research 2007, 31: 1683-1686. PMID: 17507092, DOI: 10.1016/j.leukres.2007.03.032.Peer-Reviewed Original ResearchConceptsIncidence of MDSMyelodysplastic syndromePopulation-based cancer registry dataEtiology of MDSPopulation-based dataCancer registry dataGroup of malignanciesPoor prognosisObscure etiologyPotential clusteringRegistry dataHigh incidenceEtiologic hypothesesLarger sample sizeIncidenceSyndromeP-valueEtiologyFuture studiesState of ConnecticutCensus tractsSample sizeIntriguing findingPrognosisMalignancy