2022
Agreement of treatment effects from observational studies and randomized controlled trials evaluating hydroxychloroquine, lopinavir-ritonavir, or dexamethasone for covid-19: meta-epidemiological study
Moneer O, Daly G, Skydel JJ, Nyhan K, Lurie P, Ross JS, Wallach JD. Agreement of treatment effects from observational studies and randomized controlled trials evaluating hydroxychloroquine, lopinavir-ritonavir, or dexamethasone for covid-19: meta-epidemiological study. The BMJ 2022, 377: e069400. PMID: 35537738, PMCID: PMC9086409, DOI: 10.1136/bmj-2021-069400.Peer-Reviewed Original ResearchConceptsCOVID-19 treatmentObservational studyMeta-epidemiological studyEfficacy outcomesLopinavir-ritonavirLiving reviewTreatment effectsCOVID-19 treatment guidelinesSame interventionCOVID-19Continuous outcomesMeta-analyze evidenceTrial sequential analysisSummary treatment effectsDistribution of sexTreatment guidelinesIndividual RCTsSelection of studiesEvidence DatabasePlacebo comparatorClinical dataStudy demographicsRCTsDichotomous outcomesTherapeutic interventions
2021
Registration, publication, and outcome reporting among pivotal clinical trials that supported FDA approval of high-risk cardiovascular devices before and after FDAAA
Swanson MJ, Johnston JL, Ross JS. Registration, publication, and outcome reporting among pivotal clinical trials that supported FDA approval of high-risk cardiovascular devices before and after FDAAA. Trials 2021, 22: 817. PMID: 34789308, PMCID: PMC8597303, DOI: 10.1186/s13063-021-05790-9.Peer-Reviewed Original ResearchConceptsHigh-risk cardiovascular devicesPrimary efficacy outcomeFDA Amendments ActPivotal clinical trialsClinical trialsEfficacy outcomesFDA approvalTrial interpretationPivotal clinical studiesPrimary clinical evidenceFDA summariesPivotal trialsClinical evidenceResultsBetween 2005Clinical studiesHigh-risk medical devicesOutcome reportingUS FoodDrug AdministrationTrialsReporting of findingsInterpretation of findingsPeer-reviewed literatureOutcomesCardiovascular devices
2019
Submissions from the SPRINT Data Analysis Challenge on clinical risk prediction: a cross-sectional evaluation
Jackevicius CA, An J, Ko DT, Ross JS, Angraal S, Wallach JD, Koh M, Song J, Krumholz HM. Submissions from the SPRINT Data Analysis Challenge on clinical risk prediction: a cross-sectional evaluation. BMJ Open 2019, 9: e025936. PMID: 30904868, PMCID: PMC6475140, DOI: 10.1136/bmjopen-2018-025936.Peer-Reviewed Original ResearchConceptsRisk prediction toolsCross-sectional evaluationClinical risk predictionClinical performanceCardiovascular disease historyClinical risk scoreHigh-risk patientsLow-risk patientsClinical prediction toolRisk predictionEfficacy outcomesC-statisticDisease historyInclusion criteriaIndependent reviewersRisk scoreExternal validationPatientsPrediction toolsEfficacyOutcomesSame outcome