2024
Uptake of Aspirin Chemoprevention in Patients With Lynch Syndrome
Singhal S, Riggs E, Ruth K, Chavez-Salas J, Chertock Y, Daly M, Hall M. Uptake of Aspirin Chemoprevention in Patients With Lynch Syndrome. JCO Precision Oncology 2024, 8: e2400562. PMID: 39546469, PMCID: PMC11573245, DOI: 10.1200/po-24-00562.Peer-Reviewed Original ResearchConceptsLynch syndromeLifetime risk of colorectal cancerColorectal cancerRisk of colorectal cancerCancer prevention optionsFactors associated with useNonsteroidal anti-inflammatory drugsDisease-related factorsChemoprevention uptakeScreening behaviorAspirin chemopreventionRelative risk reductionResearch invitationsPatients' perceptionsLifetime riskAdvocacy websitesASA/NSAID useElectronic surveyFox Chase Cancer CenterPrevention optionsCancer CenterRisk reductionMultivariate modelChemopreventive benefitsParticipantsLi-Fraumeni Syndrome: Imaging Features and Guidelines.
Gosangi B, Dixe de Oliveira Santo I, Keraliya A, Wang Y, Irugu D, Thomas R, Khandelwal A, Rubinowitz A, Bader A. Li-Fraumeni Syndrome: Imaging Features and Guidelines. RadioGraphics 2024, 44: e230202. PMID: 39024172, DOI: 10.1148/rg.230202.Peer-Reviewed Original ResearchConceptsLi-Fraumeni syndromeLifetime risk of cancerRare autosomal dominant familial cancer syndromeIncreased riskRisk of cancerTreated with total mastectomyAutosomal dominant familial cancer syndromeImaging features of tumorsFamilial cancer syndromeWhole-body MRIAnnual screeningFeatures of tumorsCancer syndromesLifetime riskP53 transcription factorLi-FraumeniAdrenocortical cancerTotal mastectomyPrimary cancerBreast malignancyImaging guidelinesBreast cancerGermline mutationsColon cancerManagement guidelinesSex Differences in the Blood Metabolome During Acute Response to Ischemic Stroke
Dylla L, Higgins H, Stephenson D, Reisz J, Vu T, Poisson S, Herson P, Monte A. Sex Differences in the Blood Metabolome During Acute Response to Ischemic Stroke. Journal Of Women's Health 2024, 33: 1378-1384. PMID: 38946610, PMCID: PMC11564668, DOI: 10.1089/jwh.2023.1133.Peer-Reviewed Original ResearchIschemic strokeLinear regression modelsMass spectrometry-based metabolomicsLifetime risk of strokeAssociated with neurological outcomeDifferentially expressed metabolitesRegression modelsAcute ischemic strokeRisk of strokeComprehensive stroke centerBlood metabolomeNeurological outcomeAcute treatmentMetabolomic profilesLifetime riskNeurological functionIndividual metabolitesTherapeutic potentialStroke centersAcute responseResults:</i></b>Study objectiveMetabolomicsStrokeNIHSSPrevalence and predictors of aspirin/NSAID use among patients with Lynch syndrome (LS).
Singhal S, Chertok Y, Osorio N, Chavez J, Riggs E, Daly M, Hall M. Prevalence and predictors of aspirin/NSAID use among patients with Lynch syndrome (LS). Journal Of Clinical Oncology 2024, 42: 19-19. DOI: 10.1200/jco.2024.42.3_suppl.19.Peer-Reviewed Original ResearchLynch syndromeAssociated with CPCP useLS patientsPatient advocacy websitesPatient-level factorsPersonal historyColonoscopy surveillanceCP benefitColorectal CAHereditary cancerPatients' perceptionsLifetime riskAdvocacy websitesMarital statusCP usersImpact uptakePrevention benefitsLS participantsPerceptions of CPE-surveyCancer CenterPrevention modalitiesNon-usersPerceived inconvenience
2023
High prevalence of low high‐density lipoprotein cholesterol and insulin resistance among children and adolescents living with HIV in Uganda: harbinger for metabolic syndrome?
Kisitu G, Shabanova V, Naiga F, Nakagwa M, Kekitiinwa A, Elyanu P, Paintsil E. High prevalence of low high‐density lipoprotein cholesterol and insulin resistance among children and adolescents living with HIV in Uganda: harbinger for metabolic syndrome? HIV Medicine 2023, 25: 262-275. PMID: 37879630, DOI: 10.1111/hiv.13570.Peer-Reviewed Original ResearchInternational Diabetes FederationLow high-density lipoprotein cholesterolHigh-density lipoprotein cholesterolPrevalence of MetSInsulin resistanceLipoprotein cholesterolMetabolic syndromeAdult Treatment Panel criteriaHomeostatic model assessment indexCross-sectional pilot studyFrequency of MetSModel assessment indexHOMA-IR indexOlder age groupsAge-dependent prevalenceAssociated health problemsATPIII criteriaCentral obesityBlood pressureDiabetes FederationPrimary outcomeClinical centersLifetime riskPanel criteriaHigh prevalenceA Genomic Risk Score Identifies Individuals at High Risk for Intracerebral Hemorrhage
Myserlis E, Georgakis M, Demel S, Sekar P, Chung J, Malik R, Hyacinth H, Comeau M, Falcone G, Langefeld C, Rosand J, Woo D, Anderson C. A Genomic Risk Score Identifies Individuals at High Risk for Intracerebral Hemorrhage. Stroke 2023, 54: 973-982. PMID: 36799223, PMCID: PMC10050100, DOI: 10.1161/strokeaha.122.041701.Peer-Reviewed Original ResearchConceptsClinical risk factorsIncident intracerebral hemorrhageIntracerebral hemorrhageHigh-risk populationRisk factorsGenomic risk scoresRisk scoreHigher oddsHigh riskRisk factor-adjusted modelsStandard clinical risk factorsVascular risk factorsLobar intracerebral hemorrhageLow-risk populationNonlobar intracerebral hemorrhageUse of anticoagulantsPopulation-based UK Biobank cohortUK Biobank cohortEuropean ancestryAntithrombotic treatmentClinical predictorsSD incrementMedication usersLifetime riskMetaGRS
2022
Sex differences in default mode network connectivity in healthy aging adults
Ficek-Tani B, Horien C, Ju S, Xu W, Li N, Lacadie C, Shen X, Scheinost D, Constable T, Fredericks C. Sex differences in default mode network connectivity in healthy aging adults. Cerebral Cortex 2022, 33: 6139-6151. PMID: 36563018, PMCID: PMC10183749, DOI: 10.1093/cercor/bhac491.Peer-Reviewed Original ResearchConceptsDefault mode networkPreclinical Alzheimer's diseaseAlzheimer's diseaseSex differencesBrain connectivity changesDefault mode network connectivityIntrinsic connectivity distributionSeed-based analysisMode network connectivityMedial prefrontal cortexPosterior DMN nodesHealthy aging adultsImpact of sexLifetime riskDMN connectivityWhole brainPosterior cingulateDMN nodesSignificant sex differencesPrefrontal cortexConnectivity changesAging AdultsHealthy participantsDMN functionMode networkWhy are women more likely to attempt suicide than men? Analysis of lifetime suicide attempts among US adults in a nationally representative sample
Bommersbach TJ, Rosenheck RA, Petrakis IL, Rhee TG. Why are women more likely to attempt suicide than men? Analysis of lifetime suicide attempts among US adults in a nationally representative sample. Journal Of Affective Disorders 2022, 311: 157-164. PMID: 35598742, DOI: 10.1016/j.jad.2022.05.096.Peer-Reviewed Original ResearchConceptsLifetime suicide attemptsSuicide attemptsRisk factorsMultivariate analysisProtective factorsRelated Conditions Wave IIINational Epidemiologic SurveyUnadjusted analysesLifetime riskSimilar riskUS adultsGreater oddsEpidemiologic SurveyWave IIIGender differencesGreater riskWomenMenRiskDifferent risksRepresentative sampleGenderSignificant interactionDifferent associationsSuicidePediatric Preventive Care in Middle-High Resource Countries—The Padova Chart for Health in Children
Galderisi A, Perilongo G, Caprio S, Da Dalt L, Di Salvo G, Gatta M, Giaquinto C, Rizzuto R, Robb A, Sly PD, Simonelli A, Staiano A, Vettor R, Baraldi E. Pediatric Preventive Care in Middle-High Resource Countries—The Padova Chart for Health in Children. Frontiers In Pediatrics 2022, 10: 803323. PMID: 35498805, PMCID: PMC9047691, DOI: 10.3389/fped.2022.803323.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsNon-communicable diseasesHealthy lifestylePediatric preventive careHigh-resource countriesAssessment of necessityLifestyle interventionEntire age groupPreventive careCardiovascular healthLifetime riskRespiratory healthPreventive strategiesBrain plasticityHealthcare providersAge groupsResource countriesHealthcare promotionHealthy choicesPopulation basisUnprecedented pandemicInterventionSocial healthHealthChildrenChildhoodEmerging Concepts: Role of Vitamin D Deficiency in the Pathogenesis of PCOS
Simpson S, Pal L, Seifer D. Emerging Concepts: Role of Vitamin D Deficiency in the Pathogenesis of PCOS. 2022, 489-509. DOI: 10.1007/978-3-030-92589-5_24.Peer-Reviewed Original ResearchPolycystic ovary syndromeVitamin D deficiencyD deficiencyVitamin DDiabetes mellitusCardiovascular diseaseInsulin resistanceContext of PCOSPathogenesis of PCOSType 2 diabetes mellitusParacrine/autocrine roleSpectrum of morbidityMultiple clinical studiesPoor reproductive outcomesAbnormal reproductive functionFeatures of depressionNonhuman primate studiesFemale reproductive tractImpaired folliculogenesisOvary syndromeEndometrial cancerCommon endocrinopathySkeletal healthClinical associationsLifetime risk
2021
Lifetime risk and correlates of incarceration in a nationally representative sample of U.S. adults with non-substance-related mental illness
Nakic M, Stefanovics EA, Rhee TG, Rosenheck RA. Lifetime risk and correlates of incarceration in a nationally representative sample of U.S. adults with non-substance-related mental illness. Social Psychiatry And Psychiatric Epidemiology 2021, 57: 1839-1847. PMID: 34453553, DOI: 10.1007/s00127-021-02158-x.Peer-Reviewed Original ResearchConceptsBehavioral risk factorsSubstance use disordersDSM-5 disordersMental illnessRisk factorsPsychiatric disordersUse disordersLifetime historyCorrelates of incarcerationMethodsNationally representative dataLogistic regression analysisNational Epidemiologic SurveyRelated Conditions-IIIBorderline personality disorderAntisocial personality disorderProportion of respondentsResultsAmong adultsIndependent associationLifetime riskUS adultsDual diagnosisEpidemiologic SurveyDiagnostic groupsIllnessU.S. adultsPolygenic Breast Cancer Risk for Women Veterans in the Million Veteran Program
Minnier J, Rajeevan N, Gao L, Park B, Pyarajan S, Spellman P, Haskell SG, Brandt CA, Luoh SW. Polygenic Breast Cancer Risk for Women Veterans in the Million Veteran Program. JCO Precision Oncology 2021, 5: 1178-1191. PMID: 34381935, PMCID: PMC8345920, DOI: 10.1200/po.20.00541.Peer-Reviewed Original ResearchConceptsBreast Cancer Risk Assessment ToolCancer Risk Assessment ToolIncident breast cancerAbsolute lifetime riskAA womenRisk assessment toolIncident casesLifetime riskBreast cancerMillion Veteran ProgramAccurate breast cancer risk assessmentProstate Cancer Cohort ConsortiumBreast cancer risk assessmentPrior BC diagnosisBreast cancer riskClinical risk modelVeteran ProgramRisk prediction modelCancer risk assessmentAssessment toolIncident BCAfrican ancestryHazard ratioProspective cohortMultiracial cohortAnticonvulsant Primary and Secondary Prophylaxis for Acute Ischemic Stroke Patients
Jones F, Sanches P, Smith J, Zafar S, Hernandez-Diaz S, Blacker D, Hsu J, Schwamm L, Westover M, Moura L. Anticonvulsant Primary and Secondary Prophylaxis for Acute Ischemic Stroke Patients. Stroke 2021, 52: 2782-2791. PMID: 34126758, PMCID: PMC8384723, DOI: 10.1161/strokeaha.120.033299.Peer-Reviewed Original ResearchConceptsQuality-adjusted life expectancySecondary prophylaxisAdverse drug reactionsADR riskLate seizuresPrimary prophylaxisMale patientsFemale patientsLifetime riskLS riskAcute ischemic stroke hospitalizationsLong-term secondary prophylaxisAcute ischemic stroke patientsHigher ADR risksAcute ischemic strokeIschemic stroke patientsIschemic stroke hospitalizationsCommon clinical scenariosShort-term therapyAnticonvulsant prophylaxisLifetime prophylaxisPersistent seizuresSeizure prophylaxisEarly seizuresIschemic strokeGenetic/Familial High-Risk Assessment: Breast, Ovarian, and Pancreatic, Version 2.2021, NCCN Clinical Practice Guidelines in Oncology.
Daly M, Pal T, Berry M, Buys S, Dickson P, Domchek S, Elkhanany A, Friedman S, Goggins M, Hutton M, Karlan B, Khan S, Klein C, Kohlmann W, Kurian A, Laronga C, Litton J, Mak J, Menendez C, Merajver S, Norquist B, Offit K, Pederson H, Reiser G, Senter-Jamieson L, Shannon K, Shatsky R, Visvanathan K, Weitzel J, Wick M, Wisinski K, Yurgelun M, Darlow S, Dwyer M. Genetic/Familial High-Risk Assessment: Breast, Ovarian, and Pancreatic, Version 2.2021, NCCN Clinical Practice Guidelines in Oncology. Journal Of The National Comprehensive Cancer Network 2021, 19: 77-102. PMID: 33406487, DOI: 10.6004/jnccn.2021.0001.Peer-Reviewed Original ResearchConceptsLikely pathogenic variantsLi-Fraumeni syndromePathogenic variantsPancreatic cancerGenetic/Familial High-Risk AssessmentCancer syndromesNCCN Clinical Practice GuidelinesBreast/ovarian cancer syndromePremenopausal breast cancerClinical practice guidelinesSoft tissue sarcomasHigh lifetime riskOvarian cancer syndromeGenetic testing/counselingRisk of breastPenetrant cancer syndromeNCCN guidelinesTissue sarcomasAdrenocortical carcinomaLifetime riskOvarian cancerProstate cancerBreast cancerGastric cancerHigh-risk assessment50 Appendicitis
Caty M, Grisotti G. 50 Appendicitis. 2021, 541-547.e2. DOI: 10.1016/b978-0-323-67293-1.00050-5.Peer-Reviewed Original ResearchYears of ageCommon surgical conditionsLifetime riskSurgical conditionsHealth care providersAcute appendicitisPatients 10Appendiceal perforationPossible appendicitisPediatric populationPerforation rateCare providersHigh incidenceAppendicitisPatientsAgeChildrenAdultsRiskMalesFemalesYearsAppendectomyComplicationsIncidence
2020
Time Since Infection and Risks of Future Disease for Individuals with Mycobacterium tuberculosis Infection in the United States
Menzies NA, Swartwood N, Testa C, Malyuta Y, Hill AN, Marks SM, Cohen T, Salomon JA. Time Since Infection and Risks of Future Disease for Individuals with Mycobacterium tuberculosis Infection in the United States. Epidemiology 2020, 32: 70-78. PMID: 33009253, PMCID: PMC7707158, DOI: 10.1097/ede.0000000000001271.Peer-Reviewed Original ResearchConceptsLatent TB infectionMycobacterium tuberculosis infectionTB infectionTuberculosis infectionTB natural historyRisk of tuberculosisMost TB casesRate of progressionYounger age groupsLower future riskTransmission dynamic modelTB casesTB riskPrevalent infectionProgression riskLifetime riskRisk factorsIncidence trendsClinical diseaseCumulative riskGeneral populationAverage ageNew infectionsUS populationAge groups
2018
Global, Regional, and Country-Specific Lifetime Risks of Stroke, 1990 and 2016
Feigin V, Nguyen G, Cercy K, Johnson C, Alam T, Parmar P, Abajobir A, Abate K, Abd-Allah F, Abejie A, Abyu G, Ademi Z, Agarwal G, Ahmed M, Akinyemi R, Al-Raddadi R, Aminde L, Amlie-Lefond C, Ansari H, Asayesh H, Asgedom S, Atey T, Ayele H, Banach M, Banerjee A, Barac A, Barker-Collo S, Bärnighausen T, Barregard L, Basu S, Bedi N, Behzadifar M, Béjot Y, Bennett D, Bensenor I, Berhe D, Boneya D, Brainin M, Campos-Nonato I, Caso V, Castañeda-Orjuela C, Rivas J, Catalá-López F, Christensen H, Criqui M, Damasceno A, Dandona L, Dandona R, Davletov K, de Courten B, deVeber G, Dokova K, Edessa D, Endres M, Faraon E, Farvid M, Fischer F, Foreman K, Forouzanfar M, Gall S, Gebrehiwot T, Geleijnse J, Gillum R, Giroud M, Goulart A, Gupta R, Gupta R, Hachinski V, Hamadeh R, Hankey G, Hareri H, Havmoeller R, Hay S, Hegazy M, Hibstu D, James S, Jeemon P, John D, Jonas J, Jóźwiak J, Kalani R, Kandel A, Kasaeian A, Kengne A, Khader Y, Khan A, Khang Y, Khubchandani J, Kim D, Kim Y, Kivimaki M, Kokubo Y, Kolte D, Kopec J, Kosen S, Kravchenko M, Krishnamurthi R, Kumar G, Lafranconi A, Lavados P, Legesse Y, Li Y, Liang X, Lo W, Lorkowski S, Lotufo P, Loy C, Mackay M, Abd El Razek H, Mahdavi M, Majeed A, Malekzadeh R, Malta D, Mamun A, Mantovani L, Martins S, Mate K, Mazidi M, Mehata S, Meier T, Melaku Y, Mendoza W, Mensah G, Meretoja A, Mezgebe H, Miazgowski T, Miller T, Ibrahim N, Mohammed S, Mokdad A, Moosazadeh M, Moran A, Musa K, Negoi R, Nguyen M, Nguyen Q, Nguyen T, Tran T, Nguyen T, Anggraini Ningrum D, Norrving B, Noubiap J, O’Donnell M, Olagunju A, Onuma O, Owolabi M, Parsaeian M, Patton G, Piradov M, Pletcher M, Pourmalek F, Prakash V, Qorbani M, Rahman M, Rahman M, Rai R, Ranta A, Rawaf D, Rawaf S, Renzaho A, Robinson S, Sahathevan R, Sahebkar A, Salomon J, Santalucia P, Santos I, Sartorius B, Schutte A, Sepanlou S, Shafieesabet A, Shaikh M, Shamsizadeh M, Sheth K, Sisay M, Shin M, Shiue I, Silva D, Sobngwi E, Soljak M, Sorensen R, Sposato L, Stranges S, Suliankatchi R, Tabarés-Seisdedos R, Tanne D, Nguyen C, Thakur J, Thrift A, Tirschwell D, Topor-Madry R, Tran B, Nguyen L, Truelsen T, Tsilimparis N, Tyrovolas S, Ukwaja K, Uthman O, Varakin Y, Vasankari T, Venketasubramanian N, Vlassov V, Wang W, Werdecker A, Wolfe C, Xu G, Yano Y, Yonemoto N, Yu C, Zaidi Z, El Sayed Zaki M, Zhou M, Ziaeian B, Zipkin B, Vos T, Naghavi M, Murray C, Roth G. Global, Regional, and Country-Specific Lifetime Risks of Stroke, 1990 and 2016. New England Journal Of Medicine 2018, 379: 2429-2437. PMID: 30575491, PMCID: PMC6247346, DOI: 10.1056/nejmoa1804492.Peer-Reviewed Original ResearchPolygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes
Mavaddat N, Michailidou K, Dennis J, Lush M, Fachal L, Lee A, Tyrer J, Chen T, Wang Q, Bolla M, Yang X, Adank M, Ahearn T, Aittomäki K, Allen J, Andrulis I, Anton-Culver H, Antonenkova N, Arndt V, Aronson K, Auer P, Auvinen P, Barrdahl M, Freeman L, Beckmann M, Behrens S, Benitez J, Bermisheva M, Bernstein L, Blomqvist C, Bogdanova N, Bojesen S, Bonanni B, Børresen-Dale A, Brauch H, Bremer M, Brenner H, Brentnall A, Brock I, Brooks-Wilson A, Brucker S, Brüning T, Burwinkel B, Campa D, Carter B, Castelao J, Chanock S, Chlebowski R, Christiansen H, Clarke C, Collée J, Cordina-Duverger E, Cornelissen S, Couch F, Cox A, Cross S, Czene K, Daly M, Devilee P, Dörk T, dos-Santos-Silva I, Dumont M, Durcan L, Dwek M, Eccles D, Ekici A, Eliassen A, Ellberg C, Engel C, Eriksson M, Evans D, Fasching P, Figueroa J, Fletcher O, Flyger H, Försti A, Fritschi L, Gabrielson M, Gago-Dominguez M, Gapstur S, García-Sáenz J, Gaudet M, Georgoulias V, Giles G, Gilyazova I, Glendon G, Goldberg M, Goldgar D, González-Neira A, Alnæs G, Grip M, Gronwald J, Grundy A, Guénel P, Haeberle L, Hahnen E, Haiman C, Håkansson N, Hamann U, Hankinson S, Harkness E, Hart S, He W, Hein A, Heyworth J, Hillemanns P, Hollestelle A, Hooning M, Hoover R, Hopper J, Howell A, Huang G, Humphreys K, Hunter D, Jakimovska M, Jakubowska A, Janni W, John E, Johnson N, Jones M, Jukkola-Vuorinen A, Jung A, Kaaks R, Kaczmarek K, Kataja V, Keeman R, Kerin M, Khusnutdinova E, Kiiski J, Knight J, Ko Y, Kosma V, Koutros S, Kristensen V, Krüger U, Kühl T, Lambrechts D, Le Marchand L, Lee E, Lejbkowicz F, Lilyquist J, Lindblom A, Lindström S, Lissowska J, Lo W, Loibl S, Long J, Lubiński J, Lux M, MacInnis R, Maishman T, Makalic E, Kostovska I, Mannermaa A, Manoukian S, Margolin S, Martens J, Martinez M, Mavroudis D, McLean C, Meindl A, Menon U, Middha P, Miller N, Moreno F, Mulligan A, Mulot C, Muñoz-Garzon V, Neuhausen S, Nevanlinna H, Neven P, Newman W, Nielsen S, Nordestgaard B, Norman A, Offit K, Olson J, Olsson H, Orr N, Pankratz V, Park-Simon T, Perez J, Pérez-Barrios C, Peterlongo P, Peto J, Pinchev M, Plaseska-Karanfilska D, Polley E, Prentice R, Presneau N, Prokofyeva D, Purrington K, Pylkäs K, Rack B, Radice P, Rau-Murthy R, Rennert G, Rennert H, Rhenius V, Robson M, Romero A, Ruddy K, Ruebner M, Saloustros E, Sandler D, Sawyer E, Schmidt D, Schmutzler R, Schneeweiss A, Schoemaker M, Schumacher F, Schürmann P, Schwentner L, Scott C, Scott R, Seynaeve C, Shah M, Sherman M, Shrubsole M, Shu X, Slager S, Smeets A, Sohn C, Soucy P, Southey M, Spinelli J, Stegmaier C, Stone J, Swerdlow A, Tamimi R, Tapper W, Taylor J, Terry M, Thöne K, Tollenaar R, Tomlinson I, Truong T, Tzardi M, Ulmer H, Untch M, Vachon C, van Veen E, Vijai J, Weinberg C, Wendt C, Whittemore A, Wildiers H, Willett W, Winqvist R, Wolk A, Yang X, Yannoukakos D, Zhang Y, Zheng W, Ziogas A, Investigators A, Investigators K, Collaborators N, Dunning A, Thompson D, Chenevix-Trench G, Chang-Claude J, Schmidt M, Hall P, Milne R, Pharoah P, Antoniou A, Chatterjee N, Kraft P, García-Closas M, Simard J, Easton D. Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes. American Journal Of Human Genetics 2018, 104: 21-34. PMID: 30554720, PMCID: PMC6323553, DOI: 10.1016/j.ajhg.2018.11.002.Peer-Reviewed Original ResearchConceptsPolygenic risk scoresSingle-nucleotide polymorphismsBreast cancer prevention programsPredictor of breast cancer riskCase subjectsRisk of breast cancerOverall breast cancerRisk scoreBreast cancerBreast cancer riskControl subjects of European ancestryCancer prevention programsSubjects of European ancestryArea under receiver-operating curveProspective studyGenome-wide association datasetER-negative diseaseUK BiobankCancer riskStratification of womenGenome-wide arrayMiddle quintileLifetime riskImprove screeningLasso penalized regressionRisk of Radiation-Induced Cancer From Computed Tomography Angiography Use in Imaging Surveillance for Unruptured Cerebral Aneurysms
Malhotra A, Wu X, Chugh A, Mustafa A, Matouk CC, Gandhi D, Sanelli P. Risk of Radiation-Induced Cancer From Computed Tomography Angiography Use in Imaging Surveillance for Unruptured Cerebral Aneurysms. Stroke 2018, 50: 76-82. PMID: 30580703, DOI: 10.1161/strokeaha.118.022454.Peer-Reviewed Original ResearchSurveillance imagingExcess lifetime riskCancer riskAneurysmal ruptureLifetime riskCancer incidenceRadiation Risk Assessment ToolIntracranial aneurysmsLonger surveillance periodsRadiation-induced cancer riskBrain cancer incidenceHigh-risk groupUnruptured cerebral aneurysmsCost-effectiveness/utility analysesBEIR VII reportRisk of radiationNoninvasive imaging modalityRisk assessment toolExcess cancer riskAngiography useImaging surveillanceTomography angiographySurveillance periodRisk groupsCerebral aneurysmsSuicidal ideation and behavior in US veterans with schizophrenia or bipolar disorder
Harvey PD, Posner K, Rajeevan N, Yershova KV, Aslan M, Concato J. Suicidal ideation and behavior in US veterans with schizophrenia or bipolar disorder. Journal Of Psychiatric Research 2018, 102: 216-222. PMID: 29698922, DOI: 10.1016/j.jpsychires.2018.04.014.Peer-Reviewed Original ResearchConceptsSevere mental illnessSuicidal ideationPsychiatric comorbidityUS veteransHigh riskVeteran populationGreater clinical focusPopulation of patientsVeterans Affairs studyMultiple psychiatric comorbiditiesStudy of veteransLifetime suicidal ideationHigh suicide riskDemographic factorsBetter risk predictionMajority of veteransClinical factorsFunctional statusLifetime riskRisk factorsMajor depressionMultinomial logistic regressionLower riskSCZ patientsClinical attributes
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