2025
Multicenter performance comparison of the hepatitis C antibody serology assay on the new Atellica integrated chemistry and immunoassay analyzer
El-Khoury J, Bonito A, Fonstad R, Anostario M, Quintanilla M, Birmingham N, Mohammad A. Multicenter performance comparison of the hepatitis C antibody serology assay on the new Atellica integrated chemistry and immunoassay analyzer. Journal Of Clinical Virology Plus 2025, 5: 100215. DOI: 10.1016/j.jcvp.2025.100215.Peer-Reviewed Original ResearchHepatitis C virusHCV seroconversion panelsSeroconversion panelsRisk of transmitting HCVExposure to hepatitis C virusIMS analyzerHepatitis C virus serologic testsSerological testsAnti-HCV serological testAnti-HCV antibodiesSerological assaysCenters for Disease ControlIntegrative chemistryC virusSerum specimensIncreased riskNegative individualsAtellicaClinical performanceImmunoassay analyzerPositive individualsIdentification of individualsMethod comparison studyDisease controlPositive agreementElectronic health record-based registry for identification of individuals at risk for hereditary cancer syndromes
Singh V, Rafter T, Sharbatji M, Liu J, Brown Q, Brierley K, Healy C, Xicola R, Kashyap N, Llor X. Electronic health record-based registry for identification of individuals at risk for hereditary cancer syndromes. Journal Of Medical Genetics 2025, 62: 457-463. PMID: 40350248, DOI: 10.1136/jmg-2025-110718.Peer-Reviewed Original ResearchConceptsHereditary cancer syndromesElectronic health recordsGenetic testingElectronic health record-based registryCancer syndromesIdentification of individualsFamily history of cancerFamily historyFamily history criteriaAt-riskHistory of cancerAt-risk individualsHealth recordsPathogenic variantsProspective identification of individualsRegistryActive patientsSyndrome identificationFamily relationshipsIncreased diagnostic rateCancer-related survivalStreamlined processProspective identificationIndividualsTesting needsMultimodal MRI accurately identifies amyloid status in unbalanced cohorts in Alzheimer’s disease continuum
Dolci G, Ellis C, Cruciani F, Brusini L, Abrol A, Galazzo I, Menegaz G, Calhoun V, Initiative F. Multimodal MRI accurately identifies amyloid status in unbalanced cohorts in Alzheimer’s disease continuum. Network Neuroscience 2025, 9: 259-279. PMID: 40161995, PMCID: PMC11949592, DOI: 10.1162/netn_a_00423.Peer-Reviewed Original ResearchNeuropathological hallmarks of Alzheimer's diseaseHallmarks of Alzheimer's diseaseHyperphosphorylated tau proteinAmyloid-bTau proteinNeurofibrillary tanglesNeuropathological hallmarksAmyloid accumulationAlzheimer's diseaseAb accumulationDepositional signatureIdentification of individualsAmyloid statusAccumulationAmyloidShed lightTanglesAlzheimer's disease continuumProteinPractices and perspectives of genetic counselors about high‐risk pancreatic cancer screening: A cross‐sectional survey study
Wiegand A, Chhoda A, Namboodiri A, Grimshaw A, Dalela D, Farrell J. Practices and perspectives of genetic counselors about high‐risk pancreatic cancer screening: A cross‐sectional survey study. Journal Of Genetic Counseling 2025, 34: e2016. PMID: 39814542, DOI: 10.1002/jgc4.2016.Peer-Reviewed Original ResearchConceptsCancer screening programHigher risk of pancreatic cancerPancreatic cancer screeningPancreatic cancer screening programsHigh-risk individualsGenetic counselorsCancer screeningScreening programReferral of high-risk individualsPerspectives of genetic counselorsCancer genetic counselorsCross-sectional survey studyIncrease provider comfortGenetic counseling programsIdentification of high-risk individualsPancreatic cancerConsensus guidelinesProvider comfortPancreas ScreeningExpert consensus guidelinesIdeal providersIdentification of individualsSurveillance of individualsCounseling individualsReferral
2023
Using Multi-Modal Electronic Health Record Data for the Development and Validation of Risk Prediction Models for Long COVID Using the Super Learner Algorithm
Jin W, Hao W, Shi X, Fritsche L, Salvatore M, Admon A, Friese C, Mukherjee B. Using Multi-Modal Electronic Health Record Data for the Development and Validation of Risk Prediction Models for Long COVID Using the Super Learner Algorithm. Journal Of Clinical Medicine 2023, 12: 7313. PMID: 38068365, PMCID: PMC10707399, DOI: 10.3390/jcm12237313.Peer-Reviewed Original ResearchComposite risk scoreRisk scoreElectronic health recordsAnalyses identified several factorsValidation of risk prediction modelsModerate discriminatory abilityRisk prediction modelPost-acute sequelae of COVID-19Health recordsCombined risk scorePost-AcuteIdentification of individualsPrevention effortsSuper Learner algorithmMedical recordsHealthcare challengesPublic healthMedical phenotypesCOVID-19Increased riskPredictive factorsCOVID-19 infectionRecord dataPost-acute sequelaeHigh riskCGM Metrics Identify Dysglycemic States in Participants From the TrialNet Pathway to Prevention Study.
Wilson D, Pietropaolo S, Acevedo-Calado M, Huang S, Anyaiwe D, Scheinker D, Steck A, Vasudevan M, McKay S, Sherr J, Herold K, Dunne J, Greenbaum C, Lord S, Haller M, Schatz D, Atkinson M, Nelson P, Pietropaolo M. CGM Metrics Identify Dysglycemic States in Participants From the TrialNet Pathway to Prevention Study. Diabetes Care 2023, 46: 526-534. PMID: 36730530, PMCID: PMC10020029, DOI: 10.2337/dc22-1297.Peer-Reviewed Original ResearchConceptsOral glucose tolerance testNormal oral glucose tolerance testType 1 diabetesDiabetes-related autoantibodiesGlucose levelsCGM metricsTrialNet PathwayPrevention StudyAbnormal oral glucose tolerance testGlucose valuesGlucose tolerance testContinuous glucose monitoring parametersStage 2 participantsRelatives of individualsCGMS assessmentDysglycemic statesTolerance testIdentification of individualsDiabetesNegative testAutoantibodiesProgressionBaseline dataIndividualsParticipants
2022
From the prodromal stage of multiple sclerosis to disease prevention
Marrie R, Allegretta M, Barcellos L, Bebo B, Calabresi P, Correale J, Davis B, De Jager P, Gasperi C, Greenbaum C, Helme A, Hemmer B, Kanellis P, Kostich W, Landsman D, Lebrun-Frenay C, Makhani N, Munger K, Okuda D, Ontaneda D, Postuma R, Quandt J, Roman S, Saidha S, Sormani M, Strum J, Valentine P, Walton C, Zackowski K, Zhao Y, Tremlett H. From the prodromal stage of multiple sclerosis to disease prevention. Nature Reviews Neurology 2022, 18: 559-572. PMID: 35840705, DOI: 10.1038/s41582-022-00686-x.Peer-Reviewed Original ResearchConceptsMultiple sclerosisTrials of interventionsType 1 diabetes mellitusImmune-mediated diseasesStandard criteriaDiagnosis of MSStages of MSDisease frameworkIdentification of individualsProdromal stageMS prodromeDisease preventionProdromal MSStop progressionRheumatoid arthritisProdromeDiseaseDisease markers
2021
NCCN Guidelines® Insights: Genetic/Familial High-Risk Assessment: Colorectal, Version 1.2021.
Weiss JM, Gupta S, Burke CA, Axell L, Chen LM, Chung DC, Clayback KM, Dallas S, Felder S, Gbolahan O, Giardiello FM, Grady W, Hall MJ, Hampel H, Hodan R, Idos G, Kanth P, Katona B, Lamps L, Llor X, Lynch PM, Markowitz AJ, Pirzadeh-Miller S, Samadder NJ, Shibata D, Swanson BJ, Szymaniak BM, Wiesner GL, Wolf A, Yurgelun MB, Zakhour M, Darlow SD, Dwyer MA, Campbell M. NCCN Guidelines® Insights: Genetic/Familial High-Risk Assessment: Colorectal, Version 1.2021. Journal Of The National Comprehensive Cancer Network 2021, 19: 1122-1132. PMID: 34666312, DOI: 10.1164/jnccn.2021.0048.Peer-Reviewed Original ResearchConceptsGenetic/Familial High-Risk AssessmentFamilial adenomatous polyposisHigh-risk assessmentNCCN guidelinesHereditary cancer risk assessmentNCCN Guidelines InsightsManagement of patientsColorectal cancer syndromeFamilial adenomatous polyposis syndromeAdenomatous polyposis syndromeCancer risk assessmentPathogenic genetic variantsDuodenal neoplasiaCancer surveillancePolyposis syndromeHereditary syndromesIdentification of individualsCancer syndromesAdenomatous polyposisClinical expertiseSyndromeColorectalRisk reductionGenetic variantsNew scientific data
2017
Characterisation of asthma subgroups associated with circulating YKL-40 levels
Gomez JL, Yan X, Holm CT, Grant N, Liu Q, Cohn L, Nezgovorova V, Meyers DA, Bleecker ER, Crisafi GM, Jarjour NN, Rogers L, Reibman J, Chupp GL. Characterisation of asthma subgroups associated with circulating YKL-40 levels. European Respiratory Journal 2017, 50: 1700800. PMID: 29025889, PMCID: PMC5967238, DOI: 10.1183/13993003.00800-2017.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge of OnsetAirway ObstructionAsthmaChitinase-3-Like Protein 1Cluster AnalysisCross-Sectional StudiesDisease ProgressionFemaleGene Expression ProfilingHumansInflammationMaleMiddle AgedReproducibility of ResultsRespiratory SystemSeverity of Illness IndexSputumStatistics as TopicSymptom Flare UpConceptsSerum YKL-40 levelsYKL-40 levelsHigher serum YKL-40 levelsAirflow obstructionAsthma phenotypesElevated serum YKL-40 levelsSevere Asthma Research ProgramClinical asthma phenotypesExacerbation-prone asthmaIrreversible airway obstructionSevere airflow obstructionFrequent exacerbationsSevere exacerbationsAirway inflammationAirway obstructionAsthma exacerbationsAirway diseaseAsthma patientsAsthma severitySerum levelsInflammatory pathwaysAsthma subgroupsAdult onsetIdentification of individualsUnsupervised cluster analysisPopliteal Artery Entrapment Syndrome: Bilateral Lower Extremity Involvement.
Henry HT, Szolomayer LK, Sumpio BE, Sutton KM. Popliteal Artery Entrapment Syndrome: Bilateral Lower Extremity Involvement. Orthopedics 2017, 41: e295-e298. PMID: 28934539, DOI: 10.3928/01477447-20170918-10.Peer-Reviewed Original ResearchConceptsPopliteal artery entrapment syndromeArtery entrapment syndromeEntrapment syndromeBilateral popliteal artery entrapment syndromeExertional compartment syndromeLower extremity claudicationSuccessful surgical treatmentFemale collegiate athletesPopliteal neurovascular structuresCompartment syndromeExtremity involvementPersistent disabilitySurgical treatmentUnnecessary morbiditySurgical interventionPhysical examinationThorough historyAthlete's returnIdentification of individualsNeurovascular structuresSyndromeCollegiate athletesAnatomic structuresDiagnosisClaudication
2014
HIV in people reincarcerated in Connecticut prisons and jails: an observational cohort study
Meyer JP, Cepeda J, Springer SA, Wu J, Trestman RL, Altice FL. HIV in people reincarcerated in Connecticut prisons and jails: an observational cohort study. The Lancet HIV 2014, 1: e77-e84. PMID: 25473651, PMCID: PMC4249702, DOI: 10.1016/s2352-3018(14)70022-0.Peer-Reviewed Original ResearchViral suppressionHIV treatment outcomesInhibitor-based regimensObservational cohort studyHIV viral suppressionART regimenCohort studyRetrospective cohortPrimary outcomeViral loadPsychiatric comorbidityTreatment outcomesIdentification of individualsHIVJail detaineesLaboratory databaseTreatment potencyDrug abuseRNA copiesNational InstitutePrison releasePublic healthBlack menIncarceration periodsOutcomes
2006
Clinical Performance of Original and Revised Bethesda Guidelines for the Identification of MSH2/MLH1 Gene Carriers in Patients with Newly Diagnosed Colorectal Cancer: Proposal of a New and Simpler Set of Recommendations
Rodríguez-Moranta F, Castells A, Andreu M, Piñol V, Castellví-Bel S, Alenda C, Llor X, Xicola RM, Jover R, Payá A, Bessa X, Balaguer F, Cubiella J, Argüello L, Morillas JD, Bujanda L. Clinical Performance of Original and Revised Bethesda Guidelines for the Identification of MSH2/MLH1 Gene Carriers in Patients with Newly Diagnosed Colorectal Cancer: Proposal of a New and Simpler Set of Recommendations. The American Journal Of Gastroenterology 2006, 101: ajg2006204. PMID: 16696788, DOI: 10.1111/j.1572-0241.2006.00522.x.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAgedCarrier ProteinsColorectal NeoplasmsEpidemiologic StudiesHeterozygoteHumansMiddle AgedMutationMutL Protein Homolog 1MutS Homolog 2 ProteinNuclear ProteinsPractice Guidelines as TopicPredictive Value of TestsProspective StudiesSensitivity and SpecificitySpainConceptsBethesda guidelinesColorectal cancerNegative predictive valuePredictive valueClinical performanceMLH1 germline mutationsGene mutation carriersLogistic regression analysisNational Cancer InstitutePositive predictive valueCancer genetic testingMutation carriersIdentification of individualsEpidemiology SurveysCancer InstitutePatientsGenetic testingGermline mutationsEPICOLON studyCancerOriginal guidelinesGene carriersRegression analysisGuidelinesTerms of sensitivity
2005
Chromosomal abnormalities in bronchial epithelium from smokers, nonsmokers, and lung cancer patients
Slebos RJ, Livanos E, Yim HW, Randell SH, Parsons AM, Detterbeck FC, Rivera MP, Taylor JA. Chromosomal abnormalities in bronchial epithelium from smokers, nonsmokers, and lung cancer patients. Cancer Genetics 2005, 159: 137-142. PMID: 15899385, DOI: 10.1016/j.cancergencyto.2004.10.008.Peer-Reviewed Original ResearchConceptsLung cancer patientsCancer patientsNon-lung cancer patientsAbnormal metaphasesChromosomal abnormalitiesHistory of smokingTobacco smoke exposureBronchial epithelial cell culturesHBE cell culturesCell culturesHuman bronchial epithelial cell culturesTobacco smokingSmoke exposureLung cancerEarly treatmentBronchial epitheliumCancer riskIdentification of individualsEpithelial cell culturesPatientsNonsmokersUseful markerGreater riskSmokersObserved abnormalitiesAccuracy of Revised Bethesda Guidelines, Microsatellite Instability, and Immunohistochemistry for the Identification of Patients With Hereditary Nonpolyposis Colorectal Cancer
Piñol V, Castells A, Andreu M, Castellví-Bel S, Alenda C, Llor X, Xicola RM, Rodríguez-Moranta F, Payá A, Jover R, Bessa X, Association F. Accuracy of Revised Bethesda Guidelines, Microsatellite Instability, and Immunohistochemistry for the Identification of Patients With Hereditary Nonpolyposis Colorectal Cancer. JAMA 2005, 293: 1986-1994. PMID: 15855432, DOI: 10.1001/jama.293.16.1986.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAgedCarrier ProteinsChromosomal InstabilityColorectal Neoplasms, Hereditary NonpolyposisCost-Benefit AnalysisDNA Mutational AnalysisDNA-Binding ProteinsFemaleGenetic Carrier ScreeningGenetic TestingGerm-Line MutationGuidelines as TopicHeterozygoteHumansImmunohistochemistryMaleMicrosatellite RepeatsMiddle AgedMutL Protein Homolog 1MutS Homolog 2 ProteinNeoplasm ProteinsNuclear ProteinsPredictive Value of TestsProspective StudiesProto-Oncogene ProteinsSensitivity and SpecificitySpainConceptsMicrosatellite instability testingBethesda guidelinesMLH1 germline mutationsInstability testingMicrosatellite instabilityGermline testingColorectal cancerGermline mutationsHereditary nonpolyposis colorectal cancerRevised Bethesda GuidelinesProtein expressionIdentification of patientsLogistic regression analysisNonpolyposis colorectal cancerMismatch repair deficiencyNational Cancer InstituteCancer genetic testingTumor characteristicsClinical parametersFamily historyNationwide studyIdentification of individualsCancer InstitutePatientsGenetic testing
2000
The Yale Interpersonal Stressor (YIPS): Affective, physiological, and behavioral responses to a novel interpersonal rejection paradigm1, 2, 3, 4
Stroud L, Tanofsky-Kraff M, Wilfley D, Salovey P. The Yale Interpersonal Stressor (YIPS): Affective, physiological, and behavioral responses to a novel interpersonal rejection paradigm1, 2, 3, 4. Annals Of Behavioral Medicine 2000, 22: 204-213. PMID: 11126465, DOI: 10.1007/bf02895115.Peer-Reviewed Original Research
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply