2024
Real-world evaluation of an algorithmic machine-learning-guided testing approach in stable chest pain: a multinational, multicohort study
Oikonomou E, Aminorroaya A, Dhingra L, Partridge C, Velazquez E, Desai N, Krumholz H, Miller E, Khera R. Real-world evaluation of an algorithmic machine-learning-guided testing approach in stable chest pain: a multinational, multicohort study. European Heart Journal - Digital Health 2024, 5: 303-313. PMID: 38774380, PMCID: PMC11104476, DOI: 10.1093/ehjdh/ztae023.Peer-Reviewed Original ResearchRisk of acute myocardial infarctionAssociated with lower oddsHospital health systemCoronary artery diseaseCardiac testingRisk of adverse outcomesUK BiobankHealth systemProvider-drivenLower oddsAssociated with better outcomesAcute myocardial infarctionBlack raceStable chest painFemale sexReal world evaluationDiabetes historyMulticohort studyFunction testsSuspected coronary artery diseaseYounger ageRisk profileAdverse outcomesMultinational cohortPost hoc analysis
2018
Effects of Weight-Loss Medications on Cardiometabolic Risk Profiles: A Systematic Review and Network Meta-analysis
Khera R, Pandey A, Chandar AK, Murad MH, Prokop LJ, Neeland IJ, Berry JD, Camilleri M, Singh S. Effects of Weight-Loss Medications on Cardiometabolic Risk Profiles: A Systematic Review and Network Meta-analysis. Gastroenterology 2018, 154: 1309-1319.e7. PMID: 29305933, PMCID: PMC5880739, DOI: 10.1053/j.gastro.2017.12.024.Peer-Reviewed Original ResearchConceptsWeight loss medicationsCardiometabolic risk profileHigh-density lipoprotein cholesterolWaist circumferenceDrug AdministrationSystematic reviewRisk profileLipoprotein cholesterolHemoglobin A1cObese adultsCholesterol profileSystolic/diastolic BPCardiometabolic risk factorsNetwork Meta-AnalysisRandomized clinical trialsQuality of evidenceLow-density lipoproteinModest decreaseOutcomes of interestEffect of foodLong-term useMinimal effectLiraglutide useOrlistat useBlood pressure