2022
Survival analysis of localized prostate cancer with deep learning
Dai X, Park JH, Yoo S, D’Imperio N, McMahon BH, Rentsch CT, Tate JP, Justice AC. Survival analysis of localized prostate cancer with deep learning. Scientific Reports 2022, 12: 17821. PMID: 36280773, PMCID: PMC9592586, DOI: 10.1038/s41598-022-22118-y.Peer-Reviewed Original ResearchConceptsProstate cancer mortalityComposite outcomeCancer mortalityRisk predictionTime-dependent c-statisticsProstate-specific antigen (PSA) testLarge integrated healthcare systemLocalized prostate cancerElectronic health record dataClinical decision-making processProstate cancer patientsIntegrated healthcare systemProstate Cancer Risk PredictionHealth record dataLarge-scale electronic health record dataRisk prediction modelCancer risk predictionAntigen testC-statisticCancer patientsProstate cancerClinical decision systemSurvival analysisVeterans AffairsDeep learningComparison of methods for predicting COVID-19-related death in the general population using the OpenSAFELY platform
Williamson E, Tazare J, Bhaskaran K, McDonald H, Walker A, Tomlinson L, Wing K, Bacon S, Bates C, Curtis H, Forbes H, Minassian C, Morton C, Nightingale E, Mehrkar A, Evans D, Nicholson B, Leon D, Inglesby P, MacKenna B, Davies N, DeVito N, Drysdale H, Cockburn J, Hulme W, Morley J, Douglas I, Rentsch C, Mathur R, Wong A, Schultze A, Croker R, Parry J, Hester F, Harper S, Grieve R, Harrison D, Steyerberg E, Eggo R, Diaz-Ordaz K, Keogh R, Evans S, Smeeth L, Goldacre B. Comparison of methods for predicting COVID-19-related death in the general population using the OpenSAFELY platform. Diagnostic And Prognostic Research 2022, 6: 6. PMID: 35197114, PMCID: PMC8865947, DOI: 10.1186/s41512-022-00120-2.Peer-Reviewed Original ResearchCOVID-19-related deathsInfection prevalenceOpenSAFELY platformGeneral populationNational Statistics mortality dataNumber of comorbiditiesRisk prediction toolsAbsolute risk estimationStatistics mortality dataAbsolute risk estimatesCase-cohort sampleRisk prediction modelTarget populationElectronic health record systemsPrimary careCOVID-19 casesGeneral practiceEmergency careHealth record systemsLocal infection prevalenceNHS EnglandBasic demographicsPrevalenceMortality dataRisk estimates
2020
Study protocol: Comparison of different risk prediction modelling approaches for COVID-19 related death using the OpenSAFELY platform
Williamson E, Tazare J, Bhaskaran K, Walker A, McDonald H, Tomlinson L, Bacon S, Bates C, Curtis H, Forbes H, Minassian C, Morton C, Nightingale E, Mehrkar A, Evans D, Nicholson B, Leon D, Inglesby P, MacKenna B, Cockburn J, Davies N, Hulme W, Morley J, Douglas I, Rentsch C, Mathur R, Wong A, Schultze A, Croker R, Parry J, Hester F, Harper S, Perera R, Grieve R, Harrison D, Steyerberg E, Eggo R, Diaz-Ordaz K, Keogh R, Evans S, Smeeth L, Goldacre B. Study protocol: Comparison of different risk prediction modelling approaches for COVID-19 related death using the OpenSAFELY platform. Wellcome Open Research 2020, 5: 243. DOI: 10.12688/wellcomeopenres.16353.1.Peer-Reviewed Original ResearchRisk prediction modelPrimary care electronic health record dataCOVID-19Chronic disease settingsElectronic health record dataHealth record dataPrevalence of infectionCOVID-19 deathsWorld Health OrganizationOpenSAFELY platformAdult patientsPoor outcomeInfection burdenDisease settingsDeath dataInfectious diseasesHealth OrganizationInfection prevalenceRecord dataCohort approachPopulation of interestPrevalenceTime-varying measuresDeathOutcomes