2018
Accurate estimation of cardiovascular risk in a non-diabetic adult: detecting and correcting the error in the reported Framingham Risk Score for the Systolic Blood Pressure Intervention Trial population
Warner F, Dhruva SS, Ross JS, Dey P, Murugiah K, Krumholz HM. Accurate estimation of cardiovascular risk in a non-diabetic adult: detecting and correcting the error in the reported Framingham Risk Score for the Systolic Blood Pressure Intervention Trial population. BMJ Open 2018, 8: e021685. PMID: 30037874, PMCID: PMC6059296, DOI: 10.1136/bmjopen-2018-021685.Peer-Reviewed Original ResearchMeSH KeywordsAntihypertensive AgentsBlood Pressure DeterminationCardiovascular DiseasesHumansHypertensionRandomized Controlled Trials as TopicSystoleConceptsSystolic Blood Pressure Intervention TrialFramingham risk scoreCardiovascular riskRisk scoreStudy populationStudy participantsNon-diabetic adultsTotal study populationHigh-risk populationClinical trial dataClinical trial sitesTrial populationIntervention trialsRisk populationsNew England JournalIndependent investigatorsTrial dataSecondary analysisSPRINT trialSPRINT dataTrialsRiskScoresParticipantsPopulation
2016
Availability of Clinical Trial Data From Industry‐Sponsored Cardiovascular Trials
Murugiah K, Ritchie JD, Desai NR, Ross JS, Krumholz HM. Availability of Clinical Trial Data From Industry‐Sponsored Cardiovascular Trials. Journal Of The American Heart Association 2016, 5: e003307. PMID: 27098969, PMCID: PMC4859296, DOI: 10.1161/jaha.116.003307.Peer-Reviewed Original ResearchMeSH KeywordsAccess to InformationCardiotonic AgentsCardiovascular DiseasesDrug IndustryHumansInformation DisseminationRandomized Controlled Trials as TopicConceptsIndividual participant-level dataLarge cardiovascular trialsCardiovascular trialsParticipant-level dataClinical trial dataPharmaceutical companiesMajor pharmaceutical companiesIndustry-sponsored clinical trialsInterventional trialsAvailable trialsClinical trialsTrial dataTrialsPatientsSpecific reasons
2015
Association Between Journal Citation Distribution and Impact Factor A Novel Application of the Gini Coefficient
Nuti SV, Ranasinghe I, Murugiah K, Shojaee A, Li SX, Krumholz HM. Association Between Journal Citation Distribution and Impact Factor A Novel Application of the Gini Coefficient. Journal Of The American College Of Cardiology 2015, 65: 1711-1712. PMID: 25908079, PMCID: PMC5459371, DOI: 10.1016/j.jacc.2014.12.071.Peer-Reviewed Original Research