2021
Adoption of New Risk Stratification Technologies Within US Hospital Referral Regions and Association With Prostate Cancer Management
Leapman MS, Wang R, Park HS, Yu JB, Sprenkle PC, Dinan MA, Ma X, Gross CP. Adoption of New Risk Stratification Technologies Within US Hospital Referral Regions and Association With Prostate Cancer Management. JAMA Network Open 2021, 4: e2128646. PMID: 34623406, PMCID: PMC8501394, DOI: 10.1001/jamanetworkopen.2021.28646.Peer-Reviewed Original ResearchConceptsProstate magnetic resonance imagingMagnetic resonance imagingHospital referral regionsProportion of patientsProstate cancerGenomic testingCohort studyReferral regionsRetrospective cohort studyProstate cancer carePatient-level analysisCommercial insurance claimsProstate cancer managementUS hospital referral regionsYears of ageProportion of menPatients 40Definitive treatmentCancer careTesting uptakeHRR levelMAIN OUTCOMECancer managementPatientsRegional uptake
2019
Outcomes following Lower Extremity Amputation in Patients with Diabetes Mellitus and Peripheral Arterial Disease
Pourghaderi P, Yuquimpo KM, Roginski Guetter C, Mansfield L, Park HS. Outcomes following Lower Extremity Amputation in Patients with Diabetes Mellitus and Peripheral Arterial Disease. Annals Of Vascular Surgery 2019, 63: 259-268. PMID: 31626926, DOI: 10.1016/j.avsg.2019.08.084.Peer-Reviewed Original ResearchConceptsPeripheral arterial diseaseLower extremity amputationConcurrent diabetes mellitusDiabetes mellitusArterial diseaseExtremity amputationPresence of PADUtilization Project Nationwide Inpatient SampleICD-9 procedure codesNationwide Inpatient SampleBest practice careAdult patientsPatient characteristicsPostoperative outcomesSuch comorbiditiesAdditional patientsClinical outcomesMultivariable analysisEmergency admissionsMean agePatient morbidityPatient populationInpatient SampleHospital characteristicsHigh incidenceDefining an Intermediate-risk Group for Low-grade Glioma: A National Cancer Database Analysis
JAIRAM V, KANN BH, PARK HS, MICCIO JA, BECKTA JM, YU JB, PRABHU RS, GAO SJ, MEHTA MP, CURRAN WJ, BINDRA RS, CONTESSA JN, PATEL KR. Defining an Intermediate-risk Group for Low-grade Glioma: A National Cancer Database Analysis. Anticancer Research 2019, 39: 2911-2918. PMID: 31177129, DOI: 10.21873/anticanres.13420.Peer-Reviewed Original ResearchConceptsIntermediate-risk groupInferior overall survivalOverall survivalAdjuvant therapyLow-grade gliomasTumor sizePrognostic featuresMultivariate analysisPre-operative tumor sizeNational Cancer Database AnalysisNational Cancer DatabaseLow-risk patientsCohort of patientsKaplan-Meier methodPoor prognostic featuresGross total resectionHigh-risk groupPatterns of careAdditional prognostic featuresRTOG 9802Clinical factorsTotal resectionCancer DatabaseRisk groupsClinical classificationSuicide among cancer patients
Zaorsky NG, Zhang Y, Tuanquin L, Bluethmann SM, Park HS, Chinchilli VM. Suicide among cancer patients. Nature Communications 2019, 10: 207. PMID: 30643135, PMCID: PMC6331593, DOI: 10.1038/s41467-018-08170-1.Peer-Reviewed Original ResearchConceptsStandardized mortality ratioCancer patientsHigh riskHigher standardized mortality ratiosColorectal cancer patientsEnd Results ProgramPopulation-based studyYears of agePredominant patientsLocalized diseasePerson yearsResults ProgramHodgkin's lymphomaTesticular tumorsMortality ratioRates of suicideGeneral populationPatientsCommitted suicideUnmarried malesLungSuicideRiskRepresentative dataLymphoma
2018
Complementary Medicine, Refusal of Conventional Cancer Therapy, and Survival Among Patients With Curable Cancers
Johnson SB, Park HS, Gross CP, Yu JB. Complementary Medicine, Refusal of Conventional Cancer Therapy, and Survival Among Patients With Curable Cancers. JAMA Oncology 2018, 4: 1375-1381. PMID: 30027204, PMCID: PMC6233773, DOI: 10.1001/jamaoncol.2018.2487.Peer-Reviewed Original ResearchConceptsConventional cancer treatmentsUse of CMOverall survivalComplementary medicineHormone therapyTreatment delayCharlson-Deyo comorbidity scoreCancer treatmentCancer-accredited centersNational Cancer DatabaseCharacteristics of patientsYear of diagnosisRetrospective observational studyConventional cancer therapiesHigh refusal rateRace/ethnicityNonmetastatic breastComorbidity scorePatient characteristicsCurable cancerEntire cohortColorectal cancerCancer DatabaseInsurance typeObservational studyAssociation Between Prostate Magnetic Resonance Imaging and Observation for Low-risk Prostate Cancer
Leapman MS, Wang R, Park HS, Yu JB, Weinreb JC, Gross CP, Ma X. Association Between Prostate Magnetic Resonance Imaging and Observation for Low-risk Prostate Cancer. Urology 2018, 124: 98-106. PMID: 30107188, DOI: 10.1016/j.urology.2018.07.041.Peer-Reviewed Original ResearchMeSH KeywordsAgedHumansMagnetic Resonance ImagingMaleProstatic NeoplasmsRisk AssessmentWatchful WaitingConceptsLow-risk prostate cancerProstate magnetic resonance imagingMagnetic resonance imagingProstate cancerDefinitive treatmentPCa diagnosisEnd Results-Medicare databaseResonance imagingMultivariable logistic regression analysisPropensity scoreDiagnosis of PCaUse of MRIConditional logistic regression modelsLogistic regression analysisLogistic regression modelsInitial managementMultivariable analysisGreater oddsPatientsSocioeconomic statusDiagnosisHigher likelihoodRegression analysisDemographic factorsCancer
2016
The Association Between Evaluation at Academic Centers and the Likelihood of Expectant Management in Low-risk Prostate Cancer
Lester-Coll NH, Park HS, Rutter CE, Corso CD, Mancini BR, Yeboa DN, Kim SP, Gross CP, Yu JB. The Association Between Evaluation at Academic Centers and the Likelihood of Expectant Management in Low-risk Prostate Cancer. Urology 2016, 96: 128-135. PMID: 27392652, DOI: 10.1016/j.urology.2016.06.042.Peer-Reviewed Original ResearchConceptsLow-risk prostate cancerCancer center typeExpectant managementProstate cancerAcademic centersDefinitive treatmentNational Cancer Data BaseHierarchical mixed-effects logistic regression modelsMixed effects logistic regression modelsEffects logistic regression modelsLogistic regression modelsCommunity centersSurvival benefitActive surveillanceCenter typeRetrospective analysisLarge cohortTreatment selectionPertinent covariatesCancerInterfacility variationMenFacility typeFurther investigationRegression models
2012
Comparative Effectiveness Research and the Surveillance, Epidemiology, and End Results Database
Yu JB, Lloyd S, Decker RH, Wilson LD, Park HS. Comparative Effectiveness Research and the Surveillance, Epidemiology, and End Results Database. Current Problems In Cancer 2012, 36: 208-215. PMID: 22481005, DOI: 10.1016/j.currproblcancer.2012.03.010.Peer-Reviewed Original Research