2018
Genome-wide association analysis identifies a meningioma risk locus at 11p15.5
Claus EB, Cornish AJ, Broderick P, Schildkraut JM, Dobbins SE, Holroyd A, Calvocoressi L, Lu L, Hansen HM, Smirnov I, Walsh KM, Schramm J, Hoffmann P, Nöthen MM, Jöckel KH, Swerdlow A, Larsen SB, Johansen C, Simon M, Bondy M, Wrensch M, Houlston RS, Wiemels JL. Genome-wide association analysis identifies a meningioma risk locus at 11p15.5. Neuro-Oncology 2018, 20: 1485-1493. PMID: 29762745, PMCID: PMC6176799, DOI: 10.1093/neuonc/noy077.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBiomarkers, TumorCase-Control StudiesChromosomes, Human, Pair 11FemaleFollow-Up StudiesGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansLinkage DisequilibriumMaleMeningeal NeoplasmsMeningiomaMiddle AgedPolymorphism, Single NucleotidePrognosisRisk FactorsYoung AdultConceptsGenome-wide association studiesRisk lociGenome-wide association analysisSusceptibility lociNeural crest-derived structuresSignificant heritable basisNumber of genesIndependent sample seriesNew susceptibility lociHeritable basisGenetic basisGenome ProjectAssociation studiesAssociation analysisLinkage disequilibriumLociMeningioma developmentReference panelPolygenic modelCentral roleUK10K dataAdult brain tumorsRIC8AMeningeal coveringsGenes
2016
Psychometric Properties of the Family Accommodation Scale for Obsessive–Compulsive Disorder–Patient Version
Wu MS, Pinto A, Horng B, Phares V, McGuire JF, Dedrick RF, Van Noppen B, Calvocoressi L, Storch EA. Psychometric Properties of the Family Accommodation Scale for Obsessive–Compulsive Disorder–Patient Version. Psychological Assessment 2016, 28: 251-262. PMID: 26075408, DOI: 10.1037/pas0000165.Peer-Reviewed Original ResearchConceptsObsessive-compulsive disorderFamily accommodationFamily Accommodation ScaleOCD symptom severityFamily functioningAccommodation ScalePsychometric propertiesSymptom severitySelf-report measuresInternal consistencyObsessive-compulsive symptom severityClinician-rated measuresSelf-report questionnairesSound psychometric propertiesGood internal consistencyOCD participantsTotal scoreTest-retest reliabilityBehavioral difficultiesPatient-reported versionDivergent validityFunctional impairmentConvergent validityFunctioningDepressive symptoms
2014
Endogenous and exogenous hormone exposure and the risk of meningioma in men.
Schildkraut JM, Calvocoressi L, Wang F, Wrensch M, Bondy ML, Wiemels JL, Claus EB. Endogenous and exogenous hormone exposure and the risk of meningioma in men. Journal Of Neurosurgery 2014, 120: 820-6. PMID: 24484233, PMCID: PMC4386752, DOI: 10.3171/2013.12.jns131170.Peer-Reviewed Original ResearchConceptsBody mass indexMeningioma riskOdds ratioHigher body mass indexExogenous hormone exposureMultivariate logistic regressionRelated risk factorsConfidence intervalsRisk of meningiomaPrevalence of exposureConsiderable morbidityMale patientsMass indexRisk factorsEndogenous estrogensReduced riskHormonal factorsHormone exposureIntracranial meningiomasExogenous exposureMeningiomasLogistic regressionUse of soyMenRisk
2012
Exogenous hormone use, reproductive factors, and risk of intracranial meningioma in females.
Claus EB, Calvocoressi L, Bondy ML, Wrensch M, Wiemels JL, Schildkraut JM. Exogenous hormone use, reproductive factors, and risk of intracranial meningioma in females. Journal Of Neurosurgery 2012, 118: 649-56. PMID: 23101448, PMCID: PMC3756881, DOI: 10.3171/2012.9.jns12811.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge of OnsetAgedBody Mass IndexBreast FeedingConnecticutContraceptives, OralEstrogen Replacement TherapyFemaleHumansMassachusettsMenarcheMeningeal NeoplasmsMeningiomaMenopauseMiddle AgedMultivariate AnalysisNorth CarolinaOdds RatioParityRegistriesReproductive HistoryRisk AssessmentRisk FactorsSan FranciscoSmokingTexasConceptsBody mass indexMeningioma riskMass indexIntracranial meningiomasExogenous hormone useHormone replacement therapyRisk of meningiomaYears of ageCurrent useResidents of ConnecticutHormone medicationWomen 29Postmenopausal womenPremenopausal womenCurrent smokingFertility medicationsOral contraceptivesHormone useMenstrual factorsSignificant positive associationCigarette smokingReplacement therapyRisk factorsReproductive factorsSignificant elevationCigarette Smoking and Risk of Meningioma: The Effect of Gender
Claus EB, Walsh KM, Calvocoressi L, Bondy ML, Schildkraut JM, Wrensch M, Wiemels JL. Cigarette Smoking and Risk of Meningioma: The Effect of Gender. Cancer Epidemiology Biomarkers & Prevention 2012, 21: 943-950. PMID: 22473761, PMCID: PMC3613227, DOI: 10.1158/1055-9965.epi-11-1059.Peer-Reviewed Original ResearchConceptsCigarette smokingIntracranial meningiomasCase-control studyRisk of meningiomaDuration of useEffect of genderPast smokersMenopausal statusHormonal etiologyFemale casesMale casesMeningioma riskReduced riskElevated riskMeningioma casesSmokingCase statusGreater riskSimilar findingsMeningiomasRiskAdditional investigationNumber of studiesInconsistent findingsWomenDental x‐rays and risk of meningioma
Claus EB, Calvocoressi L, Bondy ML, Schildkraut JM, Wiemels JL, Wrensch M. Dental x‐rays and risk of meningioma. Cancer 2012, 118: 4530-4537. PMID: 22492363, PMCID: PMC3396782, DOI: 10.1002/cncr.26625.Peer-Reviewed Original ResearchConceptsRisk of meningiomaDental X-raysModifiable risk factorsIntracranial meningiomasRisk factorsAge 20Population-based case-control studyMain outcome measuresPrimary brain tumorsCase-control studyGreater frequencyPanorex filmsTumor locationBitewing examinationOutcome measuresElevated riskBrain tumorsControl groupMeningiomasYounger ageRadiation exposureAge 10AgePatientsRiskPostmenopausal hormone therapy and ductal carcinoma in situ: A population-based case–control study
Calvocoressi L, Stowe MH, Carter D, Claus EB. Postmenopausal hormone therapy and ductal carcinoma in situ: A population-based case–control study. Cancer Epidemiology 2012, 36: 161-168. PMID: 22317899, PMCID: PMC3613248, DOI: 10.1016/j.canep.2012.01.001.Peer-Reviewed Original ResearchConceptsPopulation-based case-control studyCase-control studyHormone therapySitu breast cancerBreast cancerDuctal carcinomaRisk of DCISPostmenopausal hormone therapyFrequency-matched controlsInvasive breast cancerPost-menopausal womenDuration of usePostmenopausal womenIncident casesBreast carcinomaDCISLarger studyCarcinomaCancerImportant covariatesEstrogenTherapyAge intervalsWomenCurrent use
2011
Family and personal medical history and risk of meningioma.
Claus EB, Calvocoressi L, Bondy ML, Schildkraut JM, Wiemels JL, Wrensch M. Family and personal medical history and risk of meningioma. Journal Of Neurosurgery 2011, 115: 1072-7. PMID: 21780859, PMCID: PMC3241000, DOI: 10.3171/2011.6.jns11129.Peer-Reviewed Original ResearchConceptsFirst-degree family historyPersonal medical historyMedical historyFamily historyMeningioma riskEpidemiology of meningiomaPrimary brain tumorsCase-control studyRisk of meningiomaUterine fibroid tumorsImmune conditionsThyroid cancerYoungest caseBreast cancerRole of hormonesBrain tumorsFibroid tumorsImmune systemControl individualsPatientsMeningiomasInfluence of geneticsStrong associationFurther studiesTumors
2007
Mammography screening of women in their 40s
Calvocoressi L, Sun A, Kasl SV, Claus EB, Jones BA. Mammography screening of women in their 40s. Cancer 2007, 112: 473-480. PMID: 18072258, PMCID: PMC3086941, DOI: 10.1002/cncr.23210.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge FactorsAgedAmerican Cancer SocietyAttitude to HealthBlack or African AmericanBreast NeoplasmsFemaleFollow-Up StudiesHealth Planning GuidelinesHumansInterviews as TopicMammographyMass ScreeningMiddle AgedNational Cancer Institute (U.S.)Practice Guidelines as TopicProspective StudiesUnited StatesWhite PeopleConceptsAmerican Cancer SocietyAnnual screeningNational Cancer InstituteMammography screeningWomen age 50 yearsMammography screening intervalWomen's beliefsAge 50 yearsNew screening guidelinesScreening intervalProspective studyScreening guidelinesScreening examACS recommendationsCancer SocietyRoutine screeningCancer InstitutePsychosocial factorsHealth historyScreening mammogramsMedical careAge groupsTelephone interviewsSame time periodWhite womenNeighborhood-Level Socioeconomic Predictors of Nonadherence to Mammography Screening Guidelines
Dailey AB, Kasl SV, Holford TR, Calvocoressi L, Jones BA. Neighborhood-Level Socioeconomic Predictors of Nonadherence to Mammography Screening Guidelines. Cancer Epidemiology Biomarkers & Prevention 2007, 16: 2293-2303. PMID: 18006918, DOI: 10.1158/1055-9965.epi-06-1076.Peer-Reviewed Original ResearchConceptsMammography screening guidelinesNeighborhood-level socioeconomic statusMammography screening behaviorScreening guidelinesAfrican American womenSocioeconomic statusScreening behaviorIndividual-level socioeconomic statusMammography screening useLogistic regression analysisNeighborhood-level educationProspective studyScreening useCensus tract informationUrban hospitalHealth behaviorsNonadherenceSEP indexHealth outcomesTelephone interviewsWhite womenStudy outcomesWomenSocioeconomic predictorsSES distributionAdequacy of Communicating Results From Screening Mammograms to African American and White Women
Jones BA, Reams K, Calvocoressi L, Dailey A, Kasl SV, Liston NM. Adequacy of Communicating Results From Screening Mammograms to African American and White Women. American Journal Of Public Health 2007, 97: 531-538. PMID: 17267723, PMCID: PMC1805005, DOI: 10.2105/ajph.2005.076349.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBlack or African AmericanBreast NeoplasmsCommunicationConnecticutFemaleHealth Care SurveysHealth Knowledge, Attitudes, PracticeHumansLogistic ModelsMammographyMiddle AgedOutcome and Process Assessment, Health CarePatient Education as TopicProspective StudiesRadiology Department, HospitalWhite PeopleConceptsAfrican American womenWhite womenMammography resultsMammogram resultsAmerican womenScreening mammogramsInadequate communicationAbnormal mammogram resultProspective cohort studyMultivariate logistic regressionHospital-based facilitiesCohort studyIndependent predictorsRadiology recordsRecent mammogramAbnormal resultsMammography screeningPsychosocial factorsAdequacy of communicationLogistic regressionTelephone interviewsWomenRadiology reportsSelf-reported resultsAfrican Americans
2005
Applying Recursive Partitioning to a Prospective Study of Factors Associated with Adherence to Mammography Screening Guidelines
Calvocoressi L, Stolar M, Kasl SV, Claus EB, Jones BA. Applying Recursive Partitioning to a Prospective Study of Factors Associated with Adherence to Mammography Screening Guidelines. American Journal Of Epidemiology 2005, 162: 1215-1224. PMID: 16221800, DOI: 10.1093/aje/kwi337.Peer-Reviewed Original ResearchConceptsMammography screening guidelinesScreening guidelinesProspective studyHealth care provider recommendationSubgroup of womenHistory of adherenceBreast cancer susceptibilityNovel intervention strategiesRecursive partitioningAdherent subgroupAnnual family incomeProvider recommendationScreening behaviorWhite womenCancer susceptibilityAdherenceWomenCandidate predictorsIntervention strategiesSubgroupsPredictorsInitial screeningFamily incomeMost adherentGuidelinesInadequate Follow-up of Abnormal Screening Mammograms: Findings From the Race Differences in Screening Mammography Process Study (United States)
Jones BA, Dailey A, Calvocoressi L, Reams K, Kasl SV, Lee C, Hsu H. Inadequate Follow-up of Abnormal Screening Mammograms: Findings From the Race Differences in Screening Mammography Process Study (United States). Cancer Causes & Control 2005, 16: 809-821. PMID: 16132791, DOI: 10.1007/s10552-005-2905-7.Peer-Reviewed Original ResearchConceptsRace/ethnicityIndependent predictorsObserved race differencesHigh mammography screening ratesAfrican American race/ethnicityProspective cohort studyMammography screening ratesMultivariate logistic regressionSignificant independent predictorsBreast cancer stageAbnormal screening mammogramAfrican American womenRace differencesHospital-based facilitiesCohort studyScreening ratesUsual providerAbnormal resultsCancer stageFollow-upAbnormal examsMammography screeningAbnormal mammogramsScreening mammogramsLogistic regression
2004
A Prospective Study of Perceived Susceptibility to Breast Cancer and Nonadherence to Mammography Screening Guidelines in African American and White Women Ages 40 to 79 Years
Calvocoressi L, Kasl SV, Lee CH, Stolar M, Claus EB, Jones BA. A Prospective Study of Perceived Susceptibility to Breast Cancer and Nonadherence to Mammography Screening Guidelines in African American and White Women Ages 40 to 79 Years. Cancer Epidemiology Biomarkers & Prevention 2004, 13: 2096-2105. PMID: 15598767, DOI: 10.1158/1055-9965.2096.13.12.Peer-Reviewed Original ResearchConceptsMammography screening guidelinesScreening guidelinesBreast cancerProspective studyFamily breast cancer historyWomen age 40Breast cancer historyScreening examinationCancer historyMammography screeningStudy populationAge 40Older womenUrban hospitalIndex examSubsequent adherenceTelephone interviewsPerceived susceptibilityWhite womenCancerMultiple covariatesWomenIndex screeningNonadherenceMonths
1999
Family Accommodation of Obsessive-Compulsive Symptoms
CALVOCORESSI L, MAZURE C, KASL S, SKOLNICK J, FISK D, VEGSO S, VAN NOPPEN B, PRICE L. Family Accommodation of Obsessive-Compulsive Symptoms. The Journal Of Nervous And Mental Disease 1999, 187: 636-642. PMID: 10535658, DOI: 10.1097/00005053-199910000-00008.Peer-Reviewed Original ResearchConceptsObsessive-compulsive symptomsClinical statusPatient's clinical statusPatients' symptom severityFamily accommodationExcellent interrater reliabilityPatient measuresPatient's symptomsPatient outcomesGood internal consistencyMost relativesObsessive-compulsive patientsSymptom severitySymptomsPrimary caregiversAdaptive coping strategiesCompulsive disorderInterrater reliabilityFamily Accommodation ScaleCliniciansInternal consistencyFASStudy purposeDiscriminant validityReliable measure
1993
Inpatient Treatment of Patients With Severe Obsessive-Compulsive Disorder
Calvocoressi L, McDougle C, Wasylink S, Goodman W, Trufan S, Price L. Inpatient Treatment of Patients With Severe Obsessive-Compulsive Disorder. Psychiatric Services 1993, 44: 1150-1154. PMID: 8132187, DOI: 10.1176/ps.44.12.1150.Peer-Reviewed Original ResearchConceptsObsessive-compulsive disorderDependency needsObsessive-compulsive behaviorBehavioral management strategiesSevere obsessive-compulsive disorderPsychiatric research unitGeneral psychiatric unitsSuch patientsTreatment guidelinesInpatient treatmentStaff attentionPsychiatric unitPatient controlsFellow patientsPatientsDisordersSeven-year periodCharacteristic wayStaff trainingGeneral unitsTreatmentStandard practice