2010
Positive predictive value of CT urography in the evaluation of upper tract urothelial cancer.
Sadow C, Wheeler S, Kim J, Ohno-Machado L, Silverman S. Positive predictive value of CT urography in the evaluation of upper tract urothelial cancer. American Journal Of Roentgenology 2010, 195: w337-43. PMID: 20966298, DOI: 10.2214/ajr.09.4147.Peer-Reviewed Original ResearchConceptsUpper tract urothelial cancerPositive predictive valueUrothelial cancerUrine cytologyCT urographyPredictive valueUrographic examinationUrothelial thickeningExact testUpper tract urothelial malignanciesMultivariate logistic regression analysisPositive urine cytologyRecords of patientsSignificant univariate predictorsLogistic regression analysisFisher's exact testT-testStudent's t-testEffect of ageFollowup imagingRetrospective reviewPathologic examinationUrothelial malignancyUnivariate predictorsMimic cancer
2009
Is there an advantage in scoring early embryos on more than one day?
Racowsky C, Ohno-Machado L, Kim J, Biggers J. Is there an advantage in scoring early embryos on more than one day? Human Reproduction 2009, 24: 2104-2113. PMID: 19493872, PMCID: PMC2727402, DOI: 10.1093/humrep/dep198.Peer-Reviewed Original Research
2006
Supratentorial Low-Grade Glioma Resectability: Statistical Predictive Analysis Based on Anatomic MR Features and Tumor Characteristics
Talos I, Zou K, Ohno-Machado L, Bhagwat J, Kikinis R, Black P, Jolesz F. Supratentorial Low-Grade Glioma Resectability: Statistical Predictive Analysis Based on Anatomic MR Features and Tumor Characteristics. Radiology 2006, 239: 506-13. PMID: 16641355, PMCID: PMC1475754, DOI: 10.1148/radiol.2392050661.Peer-Reviewed Original Research
2005
Development of radiology prediction models using feature analysis1
Carrino J, Ohno-Machado L. Development of radiology prediction models using feature analysis1. Academic Radiology 2005, 12: 415-421. PMID: 15831414, DOI: 10.1016/j.acra.2005.01.009.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsData mining techniques
2003
A nationwide adaptive prediction tool for coronary heart disease prevention.
Holt T, Ohno-Machado L. A nationwide adaptive prediction tool for coronary heart disease prevention. British Journal Of General Practice 2003, 53: 866-70. PMID: 14702907, PMCID: PMC1314730.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsAdultAgedCoronary DiseaseFamily PracticeFemaleHumansMaleMiddle AgedPredictive Value of TestsPrimary PreventionRisk AssessmentConceptsAdditional cardiovascular risk factorsCardiovascular risk factor dataCoronary heart disease preventionCardiovascular risk profileCardiovascular risk factorsHeart disease preventionRisk factor dataCardiovascular disease developmentHigh-risk individualsPrimary care deliveryPrimary prevention interventionsRisk modificationPrimary careRisk factorsPrevention interventionsDisease preventionCare deliveryRisk profileRisk patternsFeedback of dataDisease developmentInterventionPopulation levelFactor dataLong termNo-reflow is an independent predictor of death and myocardial infarction after percutaneous coronary intervention
Resnic F, Wainstein M, Lee M, Behrendt D, Wainstein R, Ohno-Machado L, Kirshenbaum J, Rogers C, Popma J, Piana R. No-reflow is an independent predictor of death and myocardial infarction after percutaneous coronary intervention. American Heart Journal 2003, 145: 42-46. PMID: 12514653, DOI: 10.1067/mhj.2003.36.Peer-Reviewed Original ResearchConceptsPercutaneous coronary interventionPostprocedural myocardial infarctionStrong independent predictorMyocardial infarctionIndependent predictorsSodium nitroprussideInhospital outcomesCoronary interventionClinical outcomesSaphenous vein graft interventionIntracoronary vasodilator therapyVein graft interventionAdministration of verapamilAcute myocardial infarctionRate of deathInhospital mortalityVasodilator therapyCardiogenic shockBaseline demographicsGraft interventionUnstable anginaAdverse eventsConsecutive patientsIntracoronary verapamilInfarction
2001
Simplified risk score models accurately predict the risk of major in-hospital complications following percutaneous coronary intervention
Resnic F, Ohno-Machado L, Selwyn A, Simon D, Popma J. Simplified risk score models accurately predict the risk of major in-hospital complications following percutaneous coronary intervention. The American Journal Of Cardiology 2001, 88: 5-9. PMID: 11423050, DOI: 10.1016/s0002-9149(01)01576-4.Peer-Reviewed Original ResearchMeSH KeywordsAngioplasty, Balloon, CoronaryCardiopulmonary BypassCoronary DiseaseFemaleHospital MortalityHumansLogistic ModelsMaleMiddle AgedMyocardial InfarctionNeural Networks, ComputerPostoperative ComplicationsPredictive Value of TestsPrognosisProspective StudiesRisk AssessmentRisk FactorsROC CurveConceptsPercutaneous coronary interventionRisk score modelHospital complicationsCoronary interventionScore modelGlycoprotein IIb/IIIa antagonistsIIb/IIIa antagonistsMultiple logistic regression modelBedside risk stratificationCombined end pointUse of stentsMultiple logistic modelLogistic regression modelsBypass surgeryRisk stratificationSingle centerDecreased riskMyocardial infarctionRisk factorsComplicationsInterventional proceduresEnd pointLogistic regressionLogistic modelROC curve
2000
Using electronic data to predict the probability of true bacteremia from positive blood cultures.
Wang S, Kuperman G, Ohno-Machado L, Onderdonk A, Sandige H, Bates D. Using electronic data to predict the probability of true bacteremia from positive blood cultures. AMIA Annual Symposium Proceedings 2000, 893-7. PMID: 11080013, PMCID: PMC2243892.Peer-Reviewed Original ResearchConceptsPositive blood culturesClinical prediction ruleBlood culturesTreatment decisionsTrue bacteremiaCulture resultsPositive blood culture resultsPrediction rulePaper chart reviewProbability of bacteremiaBlood culture resultsInfectious disease expertsAppropriate treatment decisionsLogistic regression modelsRevalidation studyChart reviewDisease expertsOne-year periodBacteremiaPhysiciansRegression modelsTrue positivesPatientsHospitalHousestaff