2023
Representativeness of Patients Enrolled in the Lung Cancer Master Protocol (Lung-MAP)
Vaidya R, Unger J, Qian L, Minichiello K, Herbst R, Gandara D, Neal J, Leal T, Patel J, Dragnev K, Waqar S, Edelman M, Sigal E, Adam S, Malik S, Blanke C, LeBlanc M, Kelly K, Gray J, Redman M. Representativeness of Patients Enrolled in the Lung Cancer Master Protocol (Lung-MAP). JCO Precision Oncology 2023, 7: e2300218. PMID: 37677122, PMCID: PMC10581630, DOI: 10.1200/po.23.00218.Peer-Reviewed Original ResearchConceptsCharacteristics of patientsLung-MAPMaster protocolsNSCLC populationCell lung cancer trialsSEER registry dataPatients 65 yearsPrecision medicine clinical trialsPatient exclusion criteriaLung cancer trialsRepresentativeness of patientsMedicine clinical trialsNSCLC trialsOlder patientsMedicaid/More patientsSubgroup analysisCancer trialsClinical trialsVulnerable patientsRegistry dataExclusion criteriaPatientsNSCLC studiesSociodemographic characteristics
2022
Representativeness of patients enrolled in the Lung Cancer Master Protocol (Lung-MAP).
Vaidya R, Unger J, Qian L, Minichiello K, Herbst R, Gandara D, Neal J, Leal T, Patel J, Dragnev K, Waqar S, Edelman M, Sigal E, Adam S, Malik S, Blanke C, LeBlanc M, Kelly K, Redman M. Representativeness of patients enrolled in the Lung Cancer Master Protocol (Lung-MAP). Journal Of Clinical Oncology 2022, 40: 6543-6543. DOI: 10.1200/jco.2022.40.16_suppl.6543.Peer-Reviewed Original ResearchLung-MAPRepresentativeness of patientsNSCLC populationMaster protocolsNSCLC trialsMedicaid/National Clinical Trials NetworkNon-small cell lung cancer trialsSquamous cell lung cancerEnd Results registry dataNovel therapeuticsCell lung cancer trialsCell lung cancerLung cancer trialsClinical Trials NetworkNeighborhood socioeconomic deprivationArea-level measuresOlder patientsMore patientsHispanic patientsRural patientsTrial participationLung cancerTrial findingsCancer trials