2024
Integrating 4 methods to evaluate physical function in patients with cancer (In4M): protocol for a prospective cohort study
Thanarajasingam G, Kluetz P, Bhatnagar V, Brown A, Cathcart-Rake E, Diamond M, Faust L, Fiero M, Huntington S, Jeffery M, Jones L, Noble B, Paludo J, Powers B, Ross J, Ritchie J, Ruddy K, Schellhorn S, Tarver M, Dueck A, Gross C. Integrating 4 methods to evaluate physical function in patients with cancer (In4M): protocol for a prospective cohort study. BMJ Open 2024, 14: e074030. PMID: 38199641, PMCID: PMC10806877, DOI: 10.1136/bmjopen-2023-074030.Peer-Reviewed Original ResearchConceptsPhysical function assessmentPhysical functionFunctional assessmentEvaluation of physical functionElectronic health record dataEvaluate physical functionHealth record dataSpanish-speaking patientsDigital health technologiesBreast cancerProspective cohort studyClinician-reported outcomesCancer clinical trialsClinical decision-makingStudy questionnairePatient-centred evaluationHealth technologiesMeasure symptomsOncology practiceCohort studyRecord dataPatient's impressionMayo ClinicEnglish-speakingWearable sensors
2017
Disparities in next generation sequencing in a population-based community cohort of patients with advanced non-small cell lung cancer.
Presley C, Soulos P, Chiang A, Longtine J, Adelson K, Herbst R, Nussbaum N, Sorg R, Abernethy A, Agarwala V, Gross C. Disparities in next generation sequencing in a population-based community cohort of patients with advanced non-small cell lung cancer. Journal Of Clinical Oncology 2017, 35: 6563-6563. DOI: 10.1200/jco.2017.35.15_suppl.6563.Peer-Reviewed Original ResearchNon-small cell lung cancerAdvanced non-small cell lung cancerCell lung cancerNGS testingLung cancerBiomarker testingOncology practiceNext-generation sequencingNon-squamous non-small cell lung cancerPopulation-based community cohortReal-world clinical practiceMulti-gene panel testingInsurance-related disparitiesAdvanced lung cancerFirst-line treatmentHistory of smokingRetrospective observational studyElectronic health record dataWorld clinical practiceClustering of patientsHealth record dataYounger patientsMedian agePatient characteristicsWhite patients