2022
Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting
Wismüller A, DSouza AM, Abidin AZ, Ali Vosoughi M, Gange C, Cortopassi IO, Bozovic G, Bankier AA, Batra K, Chodakiewitz Y, Xi Y, Whitlow CT, Ponnatapura J, Wendt GJ, Weinberg EP, Stockmaster L, Shrier DA, Shin MC, Modi R, Lo HS, Kligerman S, Hamid A, Hahn LD, Garcia GM, Chung JH, Altes T, Abbara S, Bader AS. Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting. Npj Digital Medicine 2022, 5: 120. PMID: 35986059, PMCID: PMC9388980, DOI: 10.1038/s41746-022-00653-2.Peer-Reviewed Original ResearchNatural language processingImage analysis serviceRadiology reportsSoftware infrastructureService requestsData harvestingAnalysis servicesLanguage processingCommercial AIGround truthManual reviewNLP accuracyExploratory toolResult dataComputed tomography pulmonary angiogramAIHealthcare systemPulmonary embolismInfrastructureRequestsEarly COVID-19 pandemicPE casesServicesAccuracyProcessing
2021
Prevalence, Patterns, and Characteristics of Eye Injuries in Professional Mixed Martial Arts
Fliotsos MJ, Reed DS, Giles G, Altman AHH, Santamaria JA, Zafar S, Carlton DK, Johnson AJ, Davies BW, Legault GL, Woreta FA, Justin GA. Prevalence, Patterns, and Characteristics of Eye Injuries in Professional Mixed Martial Arts. Clinical Ophthalmology 2021, 15: 2759-2766. PMID: 34211265, PMCID: PMC8240847, DOI: 10.2147/opth.s319025.Peer-Reviewed Original ResearchEye injuriesOutcome measuresOrbital fracturesSecondary outcome measuresMost eye injuriesMain outcome measuresProfessional mixed martial artsMixed martial arts competitionsOphthalmic injuriesRetinal injuryCommon injuriesEyelid lacerationCommon reasonInjuryLacerationYearly rateMartial arts competitionEyesResult dataMixed martial artsMMA eventsFracturesPrevalenceLateralityWeeks
2019
Hospital Factors Associated With Interhospital Transfer Destination for Stroke in the Northeast United States
Zachrison K, Onnela J, Reeves M, Hernandez A, Camargo C, Zhao X, Matsouaka R, Goldstein J, Metlay J, Schwamm L. Hospital Factors Associated With Interhospital Transfer Destination for Stroke in the Northeast United States. Journal Of The American Heart Association 2019, 9: e011575. PMID: 31888430, PMCID: PMC6988147, DOI: 10.1161/jaha.118.011575.Peer-Reviewed Original ResearchMeSH KeywordsCatchment Area, HealthDatabases, FactualDelivery of Health Care, IntegratedFibrinolytic AgentsHospitalsHospitals, High-VolumeHospitals, Low-VolumeHumansMedicarePatient TransferPractice Patterns, Physicians'Quality Indicators, Health CareRetrospective StudiesStrokeThrombolytic TherapyTissue Plasminogen ActivatorUnited StatesConceptsAcute ischemic strokeAlteplase administrationIschemic strokeUS hospitalsHospital qualityHospital stroke volumeTransfer destinationsHospital referral regionsHospital factorsNumber of hospitalsStroke patientsHospital characteristicsStroke volumeMedicare claimsReferral regionsHospitalLogistic regressionStrokePatientsHospital performancePotential strategyAdministrationHome timeResult dataConnected dyadsSocial media partnerships with patient organizations for neuro-oncology patient recruitment
Claus EB, Feliciano J, Benz LS, Calvocoressi L. Social media partnerships with patient organizations for neuro-oncology patient recruitment. Neuro-Oncology Practice 2019, 7: 143-151. PMID: 32626583, PMCID: PMC7318861, DOI: 10.1093/nop/npz049.Peer-Reviewed Original ResearchNeuro-oncology patientsPatient organizationsNational Cancer Institute's SurveillanceEnd Results (SEER) dataTumor RegistryPathology reportsTreatment responsePatient recruitmentEpidemiologic studiesNeuro-oncologyPatientsYale University SchoolSaliva specimenSuccessful enrollmentEnrollment methodsDisease etiologyAssociation websitesRegistryPublic healthUniversity SchoolParticipant populationResult dataSurveillanceOnline questionnaireParticipantsCP*Trends: An Online Tool for Comparing Cohort and Period Trends Across Cancer Sites
Holford TR, Chen HS, Annett D, Krapcho M, Dorogaeva A, Feuer EJ. CP*Trends: An Online Tool for Comparing Cohort and Period Trends Across Cancer Sites. American Journal Of Epidemiology 2019, 188: 1361-1370. PMID: 30989187, PMCID: PMC6601534, DOI: 10.1093/aje/kwz089.Peer-Reviewed Original ResearchConceptsColorectal cancer incidenceCancer incidenceCancer sitesContribution of periodMale prostate cancerEnd Results (SEER) dataStudy of etiologyFemale lungCancer mortalityBronchial cancerProstate cancerCohortDisease controlRelevant exposuresIncidenceAge shiftLungCancerMortalityP scoreAgeResult dataPeriod trendsPeriodPercentage of deviance
2015
Trends and variations in breast and colorectal cancer incidence from 1995 to 2011: A comparative study between Texas Cancer Registry and National Cancer Institute’s Surveillance, Epidemiology and End Results data
LIU Z, ZHANG Y, FRANZIN L, CORMIER J, CHAN W, XU H, DU X. Trends and variations in breast and colorectal cancer incidence from 1995 to 2011: A comparative study between Texas Cancer Registry and National Cancer Institute’s Surveillance, Epidemiology and End Results data. International Journal Of Oncology 2015, 46: 1819-1826. PMID: 25672365, PMCID: PMC4356494, DOI: 10.3892/ijo.2015.2881.Peer-Reviewed Original ResearchConceptsColorectal cancer incidenceNational Cancer Institute's SurveillanceTexas Cancer RegistryBreast cancer incidenceCancer incidenceCancer RegistryAge-adjusted breast cancer incidenceColorectal cancer patientsEnd Results (SEER) dataSEER areasColorectal cancerCancer patientsIncidence rateRelative riskIncidenceBreastRegistrySurveillanceEpidemiologySEERResult dataTemporal trendsEnd resultPatientsParallel comparison
2014
Chapter 12 Linking Genomic and Clinical Data for Discovery and Personalized Care
Denny J, Xu H. Chapter 12 Linking Genomic and Clinical Data for Discovery and Personalized Care. 2014, 395-424. DOI: 10.1016/b978-0-12-401678-1.00012-9.Peer-Reviewed Original ResearchElectronic health recordsEHR dataNatural language processingSuch algorithmsLanguage processingDecision supportPhenotype algorithmsIdeal repositoryHealth recordsNumber of challengesRepositoryAlgorithmClinical notesClinical careClinical documentationGenomic dataResult dataAccurate caseDNA biobanksEarly demonstration projectsHealth care qualityClinical recordsMedication recordsClinical dataTool
2013
Radiation Therapy Improves Survival in Small Cell Rectal Cancer: Analysis of Surveillance, Epidemiology, and End Results (SEER) Data
Hsu H, Leichman C, Du K. Radiation Therapy Improves Survival in Small Cell Rectal Cancer: Analysis of Surveillance, Epidemiology, and End Results (SEER) Data. International Journal Of Radiation Oncology • Biology • Physics 2013, 87: s188. DOI: 10.1016/j.ijrobp.2013.06.484.Peer-Reviewed Original ResearchRacial/Ethnic Differences in Receipt of Timely Adjuvant Therapy for Older Women with Breast Cancer: Are Delays Influenced by the Hospitals Where Patients Obtain Surgical Care?
Freedman RA, He Y, Winer EP, Keating NL. Racial/Ethnic Differences in Receipt of Timely Adjuvant Therapy for Older Women with Breast Cancer: Are Delays Influenced by the Hospitals Where Patients Obtain Surgical Care? Health Services Research 2013, 48: 1669-1683. PMID: 23663229, PMCID: PMC3796107, DOI: 10.1111/1475-6773.12063.Peer-Reviewed Original ResearchConceptsTreatment delayBreast cancerTimely adjuvant therapyEnd Results (SEER) dataMultivariable logistic regressionEthnic differencesRace/ethnicityAdjuvant chemotherapyAdjuvant therapyMedicare claimsSurgical careHigher oddsOlder womenHispanic womenStage IHospitalLogistic regressionRacial disparitiesWomenPatientsBlack womenCancerCareResult dataImportant contributor
1996
The Continuing Increase in Adenocarcinoma of the Uterine Cervix: A Birth Cohort Phenomenon
ZHENG T, HOLFORD T, MA Z, CHEN Y, LIU W, WARD B, BOYLE P. The Continuing Increase in Adenocarcinoma of the Uterine Cervix: A Birth Cohort Phenomenon. International Journal Of Epidemiology 1996, 25: 252-258. PMID: 9119549, DOI: 10.1093/ije/25.2.252.Peer-Reviewed Original ResearchConceptsUterine cervixInvasive adenocarcinomaBirth cohortStrong birth cohort effectTime trendsBirth-cohort patternEnd Results (SEER) dataBirth-cohort phenomenonAnalytical epidemiological studiesBirth cohort effectsRecent birth cohortsObserved time trendsYoung white womenRisk factorsEpidemiological studiesCervixAdenocarcinomaCohort patternsCohort phenomenonCohortWhite womenCohort modelCohort effectsObserved increaseResult data
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply