2023
Comparative Effectiveness Analysis of Lumpectomy and Mastectomy for Elderly Female Breast Cancer Patients: A Deep Learning-based Big Data Analysis
Wang J, Zhang S, Yi H, Ma S. Comparative Effectiveness Analysis of Lumpectomy and Mastectomy for Elderly Female Breast Cancer Patients: A Deep Learning-based Big Data Analysis. The Yale Journal Of Biology And Medicine 2023, 96: 327-346. PMID: 37781001, PMCID: PMC10524818, DOI: 10.59249/iaju7580.Peer-Reviewed Original ResearchConceptsFemale breast cancer patientsBreast cancer patientsCancer patientsOverall survivalClinical trialsComparative effectivenessElectronic medical record dataRandomized clinical trialsMedical record dataComparative effectiveness analysisMastectomy armSurgical proceduresMedicare dataLumpectomySurgery proceduresMastectomyPatientsStudy designRecord dataTrialsGold standardEMR dataComparable effectsRegression analysisConvincing evidence
2021
An emulated target trial analysis based on Medicare data suggested non-inferiority of Dabigatran versus Rivaroxaban
Mei H, Wang J, Ma S. An emulated target trial analysis based on Medicare data suggested non-inferiority of Dabigatran versus Rivaroxaban. Journal Of Clinical Epidemiology 2021, 139: 28-37. PMID: 34271110, DOI: 10.1016/j.jclinepi.2021.07.001.Peer-Reviewed Original ResearchConceptsNon-valvular atrial fibrillation patientsSafety of rivaroxabanAtrial fibrillation patientsMultiple chronic conditionsInclusion/exclusion criteriaTrial analysisMajor bleedingOral anticoagulantsThromboembolic eventsFibrillation patientsTreatment regimensChronic conditionsClinical trialsMedicare patientsDabigatranExclusion criteriaMedicare dataRivaroxabanStudy designRelative efficacyIndividual trialsTrialsPatientsStrokePrimary eventEating disorders treatment experiences and social support: Perspectives from service seekers in mainland China
Ma R, Zhang M, Oakman J, Wang J, Zhu S, Zhao C, Hu Z, Buchanan N. Eating disorders treatment experiences and social support: Perspectives from service seekers in mainland China. International Journal Of Eating Disorders 2021, 54: 1537-1548. PMID: 34101214, DOI: 10.1002/eat.23565.Peer-Reviewed Original ResearchConceptsSocial supportSocial support experiencesData-driven thematic analysisSemi-structured interviewsInductive data-driven thematic analysisMainland ChinaResponsive servicesOnline social media platformsSocial media platformsQualitative dataSupport experiencesService seekersThematic analysisDeductive codingInterviewsUnaffordable careMedia platformsPerspectiveSurvey responsesExperienceSpecific manifestationsFinancial constraintsChinaSupportSeekers