2022
Methods for large‐scale single mediator hypothesis testing: Possible choices and comparisons
Du J, Zhou X, Clark‐Boucher D, Hao W, Liu Y, Smith J, Mukherjee B. Methods for large‐scale single mediator hypothesis testing: Possible choices and comparisons. Genetic Epidemiology 2022, 47: 167-184. PMID: 36465006, PMCID: PMC10329872, DOI: 10.1002/gepi.22510.Peer-Reviewed Original ResearchConceptsNull hypothesisTest statisticsMediation hypothesis testingComposite null hypothesisHypothesis testingClasses of methodsFalse positive rateAlternative hypothesisSimulation studyHypothesis testing methodContinuous mediatorReference distributionSobel test statisticsContinuous outcomesExposure-mediator interactionMulti-Ethnic Study of AtherosclerosisDNA methylation sitesClassCRANMethylation sitesComparative analyses of eighteen rapid antigen tests and RT-PCR for COVID-19 quarantine and surveillance-based isolation
Wells CR, Pandey A, Moghadas SM, Singer BH, Krieger G, Heron RJL, Turner DE, Abshire JP, Phillips KM, Michael Donoghue A, Galvani AP, Townsend JP. Comparative analyses of eighteen rapid antigen tests and RT-PCR for COVID-19 quarantine and surveillance-based isolation. Communications Medicine 2022, 2: 84. PMID: 35822105, PMCID: PMC9271059, DOI: 10.1038/s43856-022-00147-y.Peer-Reviewed Original ResearchRT-PCR testingRT-PCR testAntigen testRA testRT-PCRSerial testingSingle RT-PCR testSARS-CoV-2 infectionRapid antigen testEmergency use authorizationUnited States FoodExtent of transmissionDrug AdministrationCOVID-19 infectiousnessEffective reproduction numberStates FoodCOVID-19 quarantineQuarantine durationTest specificitySpread of diseaseDiagnostic characteristicsTesting strategiesReproduction numberFalse positive rateQuarantine
2021
Timing of Newborn Blood Collection Alters Metabolic Disease Screening Performance
Peng G, Tang Y, Cowan TM, Zhao H, Scharfe C. Timing of Newborn Blood Collection Alters Metabolic Disease Screening Performance. Frontiers In Pediatrics 2021, 8: 623184. PMID: 33553077, PMCID: PMC7854909, DOI: 10.3389/fped.2020.623184.Peer-Reviewed Original ResearchCarnitine transport defectBlood collectionMethylmalonic acidemiaIsovaleric acidemiaMarker levelsMetabolic disordersElevated marker levelsMetabolic marker levelsFalse-positive casesInborn metabolic disordersNewborn screening dataGestational ageClinical variablesBirth weightStandard groupFalse positive rateMetabolic changesDisease screeningHigh false positive rateEffect size analysisPhenylketonuriaScreening performanceAcidemiaCollection groupDisorders
2020
Population-Based Screening for Endometrial Cancer: Human vs. Machine Intelligence
Hart GR, Yan V, Huang GS, Liang Y, Nartowt BJ, Muhammad W, Deng J. Population-Based Screening for Endometrial Cancer: Human vs. Machine Intelligence. Frontiers In Artificial Intelligence 2020, 3: 539879. PMID: 33733200, PMCID: PMC7861326, DOI: 10.3389/frai.2020.539879.Peer-Reviewed Original ResearchAverage-risk womenEndometrial cancerRisk womenOvarian Cancer Screening TrialEndometrial cancer riskCancer Screening TrialPrimary care physiciansPopulation-based screeningCancer risk predictionHealth dataCare physiciansGynecologic oncologistsRisk stratificationDisease onsetPositive rateIndividual patientsCancer riskInvasive proceduresScreening TrialPersonal health dataEarly cancer detectionMortality rateEarly screeningFalse positive ratePrevious risk modelsRepeat SARS-CoV-2 testing models for residential college populations
Chang JT, Crawford FW, Kaplan EH. Repeat SARS-CoV-2 testing models for residential college populations. Health Care Management Science 2020, 24: 305-318. PMID: 33200374, PMCID: PMC7669307, DOI: 10.1007/s10729-020-09526-0.Peer-Reviewed Original ResearchImproving the Diagnosis of Phenylketonuria by Using a Machine Learning–Based Screening Model of Neonatal MRM Data
Zhu Z, Gu J, Genchev G, Cai X, Wang Y, Guo J, Tian G, Lu H. Improving the Diagnosis of Phenylketonuria by Using a Machine Learning–Based Screening Model of Neonatal MRM Data. Frontiers In Molecular Biosciences 2020, 7: 115. PMID: 32733913, PMCID: PMC7358370, DOI: 10.3389/fmolb.2020.00115.Peer-Reviewed Original ResearchNerve developmentCommon genetic metabolic disorderShanghai Children's HospitalMetabolic patternsLogistic regression analysis modelNewborn Screening CenterPositive predictive valueGenetic metabolic disordersPediatric patientsChildren's HospitalPatient recallMetabolic disordersScreening centerHealth providersPredictive valueDiagnosis of phenylketonuriaScreening methodDevelopmental delayFalse positive rateRegression analysis modelHigh false positive ratePhenylketonuriaPatientsHospitalScreening dataAutomated detection and delineation of hepatocellular carcinoma on multiphasic contrast-enhanced MRI using deep learning
Bousabarah K, Letzen B, Tefera J, Savic L, Schobert I, Schlachter T, Staib LH, Kocher M, Chapiro J, Lin M. Automated detection and delineation of hepatocellular carcinoma on multiphasic contrast-enhanced MRI using deep learning. Abdominal Radiology 2020, 46: 216-225. PMID: 32500237, PMCID: PMC7714704, DOI: 10.1007/s00261-020-02604-5.Peer-Reviewed Original ResearchConceptsDeep convolutional neural networkAverage false positive rateDice similarity coefficientU-NetDeep learning algorithmsConvolutional neural networkTest setMean Dice similarity coefficientRandom forest classifierDCNN methodDCNN approachDeep learningNet architectureLearning algorithmNeural networkLiver segmentationManual 3D segmentationForest classifierGround truthManual segmentationFalse positive rateCorresponding segmentationSegmentationMultiphasic contrast-enhanced MRIThresholdingSignaling Pathway Analysis Combined With the Strength Variations of Interactions Between Genes Under Different Conditions
Bao Z, Zhu Y, Ge Q, Gu W, Dong X, Bai Y. Signaling Pathway Analysis Combined With the Strength Variations of Interactions Between Genes Under Different Conditions. IEEE Access 2020, 8: 138036-138045. DOI: 10.1109/access.2020.3010796.Peer-Reviewed Original ResearchSignaling pathway analysisPathway analysisSignaling pathwayPathway analysis methodsGene expression datasetsExpression datasetsVariation of interactionsBiological informationGenesR packageDevelopmental stagesBiological problemsDEGsPathwayDisease conditionsSignalFalse positive rateInteractionVariation
2019
Gene set enrichment for reproducible science: comparison of CERNO and eight other algorithms
Zyla J, Marczyk M, Domaszewska T, Kaufmann SHE, Polanska J, Weiner J. Gene set enrichment for reproducible science: comparison of CERNO and eight other algorithms. Bioinformatics 2019, 35: 5146-5154. PMID: 31165139, PMCID: PMC6954644, DOI: 10.1093/bioinformatics/btz447.Peer-Reviewed Original ResearchConceptsReal-world datasetsEvaluation metricsCernoNovel algorithmReproducible scienceOnline implementationComputational timeFalse positive ratePractical reproducibilityFast algorithmSupplementary dataAlgorithmRelated dataNovel approachDatasetR packageEnrichment algorithmPositive rateMetricsImplementationEssential partGS sizeRepositoryPackageDistinct predictive values of current neuroprognostic guidelines in post-cardiac arrest patients
Zhou SE, Maciel CB, Ormseth CH, Beekman R, Gilmore EJ, Greer DM. Distinct predictive values of current neuroprognostic guidelines in post-cardiac arrest patients. Resuscitation 2019, 139: 343-350. PMID: 30951843, PMCID: PMC6589093, DOI: 10.1016/j.resuscitation.2019.03.035.Peer-Reviewed Original ResearchConceptsPost-cardiac arrest patientsAmerican Heart AssociationArrest patientsPredictive valueDiffuse hypoxic-ischemic injurySingle tertiary care centerDistinct predictive valuesHypoxic-ischemic injuryOutcomes of patientsTertiary care centerLife-sustaining therapyIntensive care medicineFalse positive rateAAN guidelinesAHA guidelinesHospital recordsCardiac arrestHeart AssociationCare centerCurrent guidelinesCare medicineBetter outcomesBiochemical findingsPatientsAmerican Academy
2017
First-trimester screening for early and late preeclampsia using maternal characteristics, biomarkers, and estimated placental volume
Sonek J, Krantz D, Carmichael J, Downing C, Jessup K, Haidar Z, Ho S, Hallahan T, Kliman HJ, McKenna D. First-trimester screening for early and late preeclampsia using maternal characteristics, biomarkers, and estimated placental volume. American Journal Of Obstetrics And Gynecology 2017, 218: 126.e1-126.e13. PMID: 29097177, DOI: 10.1016/j.ajog.2017.10.024.Peer-Reviewed Original ResearchConceptsLate-onset preeclampsiaEarly-onset preeclampsiaFirst-trimester screeningWeeks' gestationMaternal characteristicsPlacental volumeUterine artery pulsatility indexArtery pulsatility indexRisk of preeclampsiaAddition of biomarkersDiagnosis of preeclampsiaDetection rateFalse positive rateMaternal biomarkersCombination of markersLate preeclampsiaPerinatal morbidityCohort studyOnset preeclampsiaArterial pressurePulsatility indexFirst trimesterMedical historySerum biomarkersMedical recordsPrognostic Value of the Neurological Examination in Cardiac Arrest Patients After Therapeutic Hypothermia
Matthews EA, Magid-Bernstein J, Sobczak E, Velazquez A, Falo CM, Park S, Claassen J, Agarwal S. Prognostic Value of the Neurological Examination in Cardiac Arrest Patients After Therapeutic Hypothermia. The Neurohospitalist 2017, 8: 66-73. PMID: 29623156, PMCID: PMC5882011, DOI: 10.1177/1941874417733217.Peer-Reviewed Original ResearchPositive predictive valuePupillary light responseTherapeutic hypothermiaNeurological examinationCorneal reflexPredictive valueDay 3Poor outcomePrognostic valueDay 5Cerebral Performance Category scoreUniversity intensive care unitTime pointsCardiac arrest patientsCardiac arrest survivorsIntensive care unitLife-sustaining therapyNegative predictive valueLeast day 5False positive rateHospital dischargeArrest patientsArrest survivorsCare unitIdeal timingReproducibility of Finding Enriched Gene Sets in Biological Data Analysis
Zyla J, Marczyk M, Polanska J. Reproducibility of Finding Enriched Gene Sets in Biological Data Analysis. Advances In Intelligent Systems And Computing 2017, 616: 146-154. DOI: 10.1007/978-3-319-60816-7_18.Peer-Reviewed Original Research
2016
Problems screening for HAND among the educationally disadvantaged
Musso MW, Cosgrove SJ, Peltier MR, McGee BL, Jones GN. Problems screening for HAND among the educationally disadvantaged. Applied Neuropsychology Adult 2016, 25: 120-125. PMID: 27841663, DOI: 10.1080/23279095.2016.1248766.Peer-Reviewed Original ResearchConceptsHIV-Associated Neurocognitive DisordersHIV Dementia ScaleDementia ScaleInternational HIV Dementia ScaleMontreal Cognitive AssessmentPositive rateRisk factorsNeurocognitive disordersBaseline functioningFalse positive rateCognitive AssessmentSocioeconomic statusHigh false positive rateScreenerSymptomsSequential testing
2015
False-Positive Rate of AKI Using Consensus Creatinine–Based Criteria
Lin J, Fernandez H, Shashaty MG, Negoianu D, Testani JM, Berns JS, Parikh CR, Wilson FP. False-Positive Rate of AKI Using Consensus Creatinine–Based Criteria. Clinical Journal Of The American Society Of Nephrology 2015, 10: 1723-1731. PMID: 26336912, PMCID: PMC4594067, DOI: 10.2215/cjn.02430315.Peer-Reviewed Original ResearchConceptsSerum creatinine valuesGlobal Outcomes creatinine criteriaSerum creatinineCreatinine valuesCreatinine criteriaClinical cohortBiologic variabilityProportion of patientsSerum creatinine changesHigher baseline valuesFalse positive rateAKI diagnosisAKI studiesAdult patientsCreatinine changesBlood drawReference cohortOverall false-positive rateBaseline valuesCreatinine measurementsPatientsCreatinineHypothetical patientsDiagnosis rateSimulation cohortPrognostication of post-cardiac arrest coma: early clinical and electroencephalographic predictors of outcome
Sivaraju A, Gilmore EJ, Wira CR, Stevens A, Rampal N, Moeller JJ, Greer DM, Hirsch LJ, Gaspard N. Prognostication of post-cardiac arrest coma: early clinical and electroencephalographic predictors of outcome. Intensive Care Medicine 2015, 41: 1264-1272. PMID: 25940963, DOI: 10.1007/s00134-015-3834-x.Peer-Reviewed Original ResearchConceptsBetter outcomesPoor outcomeEpileptiform dischargesPost-cardiac arrest comatose patientsCritical care EEG terminologyPost-cardiac arrest comaMethodsProspective cohort studyContinuous EEG monitoringLow-voltage EEGPositive predictive valueAbsence of reactivityEEG terminologyCohort studySpontaneous circulationBrainstem reflexesClinical outcomesComatose patientsFalse positive ratePoor prognosisPrognostic significanceSuppression burstsClinical variablesClinical correlatesElectroencephalographic patternsElectroencephalographic predictors
2013
Isolated Abdominal Circumference < 5% or Estimated Fetal Weight 10 to 19% as Predictors of Small for Gestational Age Infants
Turitz A, Quant H, Schwartz N, Elovitz M, Bastek J. Isolated Abdominal Circumference < 5% or Estimated Fetal Weight 10 to 19% as Predictors of Small for Gestational Age Infants. American Journal Of Perinatology 2013, 31: 469-476. PMID: 23966127, DOI: 10.1055/s-0033-1353438.Peer-Reviewed Original ResearchConceptsSGA neonatesGrowth restrictionAbdominal circumferenceNeonatal growth restrictionRetrospective cohort studyGestational age infantsFetal abdominal circumferenceGrowth ultrasoundSonographic definitionCohort studySingleton pregnanciesGestational ageMultivariable analysisAge infantsPositive rateNeonatal diagnosisSonographic diagnosisNeonatesFalse positive rateTest characteristicsSGAPregnancyDiagnosisCircumferenceWeight 10
2002
The comprehensive midtrimester test: High-sensitivity down syndrome test
Bahado-Singh R, Shahabi S, Karaca M, Mahoney MJ, Cole L, Oz UA. The comprehensive midtrimester test: High-sensitivity down syndrome test. American Journal Of Obstetrics And Gynecology 2002, 186: 803-808. PMID: 11967511, DOI: 10.1067/mob.2002.121651.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlgorithmsalpha-FetoproteinsAmniocentesisChorionic GonadotropinChorionic Gonadotropin, beta Subunit, HumanDown SyndromeEstriolFalse Positive ReactionsFemaleGestational AgeHumansNeckPregnancyPregnancy Trimester, SecondPrenatal DiagnosisSensitivity and SpecificityUltrasonography, PrenatalConceptsDown syndrome casesDown syndrome detectionMaternal ageSyndrome casesSyndrome detectionStepwise logistic regression analysisReceiver-operating characteristic curveBeta-core fragmentAdvanced maternal ageLogistic regression analysisDown syndrome riskLow-risk screeningFalse positive rateDifferent age groupsGestational ageLarge trialsSignificant markersSyndrome riskStudy groupNuchal thicknessClinical valueUltrasound biometryGenetic amniocentesisSmall studySonographic anomaliesTranscervical Tubal Cannulation
Graczykowski J, Seifer D. Transcervical Tubal Cannulation. 2002, 137-140. DOI: 10.1007/978-3-642-87690-5_12.Peer-Reviewed Original ResearchProximal tubal obstructionUnilateral proximal tubal obstructionTranscervical tubal cannulationMajor abdominal surgeryTubal cannulationInfertility workupLaparoscopic assessmentLaparoscopic evaluationAbdominal surgeryMicrosurgical resectionRadiologic findingsTubal obstructionFallopian tubeTubal segmentsCommon findingFimbriated endSerious pathologyPatent lumenHysterosalpingogramFalse positive rateObliterated segmentOviductSuch casesFindingsResection
2000
Combined ultrasound biometry, serum markers and age for Down syndrome risk estimation
Bahado‐Singh R, Oz A, Gomez K, Hunter D, Copel J, Baumgarten A, Mahoney M. Combined ultrasound biometry, serum markers and age for Down syndrome risk estimation. Ultrasound In Obstetrics And Gynecology 2000, 15: 199-204. PMID: 10846774, DOI: 10.1046/j.1469-0705.2000.00071.x.Peer-Reviewed Original ResearchConceptsMaternal ageAlpha-fetoproteinTriple screenSerum markersUltrasound biometryDown syndromeNuchal thickness measurementMedian maternal ageSerum alpha-fetoproteinNormal singleton pregnanciesHumerus lengthGestational age rangeDown's syndrome screening efficiencySingleton pregnanciesReferral populationFalse positive rateSecond trimesterIndividual Down syndrome oddsFetal biometryUnconjugated estriolStudy groupNuchal thicknessDown syndrome risk estimationHCGAge range
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply