2019
Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data
Nartowt BJ, Hart GR, Roffman DA, Llor X, Ali I, Muhammad W, Liang Y, Deng J. Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data. PLOS ONE 2019, 14: e0221421. PMID: 31437221, PMCID: PMC6705772, DOI: 10.1371/journal.pone.0221421.Peer-Reviewed Original ResearchConceptsNational Health Interview SurveyUnited States Preventative Services Task ForceColorectal cancerPredictive valueDiagnosis of CRCColorectal cancer riskHealth Interview SurveyHigh-risk categoryNegative predictive valuePositive predictive valueMultivariable prediction modelHealth dataUSPSTF guidelinesRisk score methodCRC riskFamily historyCancer riskHigh riskAge 50Individual prognosisLower riskPersonal health dataClinical applicabilityInterview SurveyCancer
2008
Comparison of predictive models, clinical criteria and molecular tumour screening for the identification of patients with Lynch syndrome in a population-based cohort of colorectal cancer patients
Balmaña J, Balaguer F, Castellví-Bel S, Steyerberg EW, Andreu M, Llor X, Jover R, Castells A, Syngal S, Association F. Comparison of predictive models, clinical criteria and molecular tumour screening for the identification of patients with Lynch syndrome in a population-based cohort of colorectal cancer patients. Journal Of Medical Genetics 2008, 45: 557. PMID: 18603628, DOI: 10.1136/jmg.2008.059311.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAdultAgedAged, 80 and overCohort StudiesColorectal NeoplasmsColorectal Neoplasms, Hereditary NonpolyposisDNA Mutational AnalysisFemaleGenetic Carrier ScreeningGenetic TestingHeterozygoteHumansMaleMiddle AgedModels, GeneticMutL Protein Homolog 1MutS Homolog 2 ProteinNuclear ProteinsConceptsMLH1/MSH2 mutation carriersPositive predictive valueMSH2 mutation carriersMutation carriersMMR deficiencyClinical criteriaMismatch repair gene mutationsAmsterdam II criteriaColorectal cancer patientsIdentification of patientsPopulation-based cohortOverall discriminative abilityColorectal cancer cohortRepair gene mutationsGermline testingCRC patientsBethesda guidelinesCancer patientsLynch syndromeCancer cohortPredictive scorePredictive valueSimilar AUCMicrosatellite instabilityObserved prevalence
2007
Validation and Extension of the PREMM1,2 Model in a Population-Based Cohort of Colorectal Cancer Patients
Balaguer F, Balmaña J, Castellví–Bel S, Steyerberg EW, Andreu M, Llor X, Jover R, Syngal S, Castells A, Association G. Validation and Extension of the PREMM1,2 Model in a Population-Based Cohort of Colorectal Cancer Patients. Gastroenterology 2007, 134: 39-46. PMID: 18061181, PMCID: PMC2542581, DOI: 10.1053/j.gastro.2007.10.042.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAgedAged, 80 and overCohort StudiesColorectal NeoplasmsDNA Mismatch RepairFemaleGenetic Carrier ScreeningGerm-Line MutationHumansLogistic ModelsMaleMiddle AgedMutL Protein Homolog 1MutL ProteinsNeoplasm ProteinsNuclear ProteinsPredictive Value of TestsReproducibility of ResultsSpainConceptsPositive predictive valueColorectal cancer patientsMMR testingGermline testingCancer patientsMLH1/MSH2 mutation carriersUnselected colorectal cancer patientsMSH2 mutation carriersColorectal cancer populationPopulation-based cohortColorectal cancer casesRecognition of patientsBRAF V600E mutationBRAF V600E mutation analysisMicrosatellite instability analysisCancer populationMismatch repairLynch syndromeCancer casesMutation carriersPredictive valueV600E mutationMMR deficiencyPatientsAbstractText
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