2019
Leading by Example: Web-Based Sexual Health Influencers Among Men Who Have Sex With Men Have Higher HIV and Syphilis Testing Rates in China
Wu D, Tang W, Lu H, Zhang T, Cao B, Ong J, Lee A, Liu C, Huang W, Fu R, Li K, Pan S, Zhang Y, Fu H, Wei C, Tucker J. Leading by Example: Web-Based Sexual Health Influencers Among Men Who Have Sex With Men Have Higher HIV and Syphilis Testing Rates in China. Journal Of Medical Internet Research 2019, 21: e10171. PMID: 30664490, PMCID: PMC6360381, DOI: 10.2196/10171.Peer-Reviewed Original ResearchConceptsSyphilis testingMale sex partnersHealth influencersSTI informationSex partnersSociodemographic characteristicsSyphilis testing ratesUnknown HIV statusSexual behaviorInternet-Using MenLogistic regression modelsHealthy HIVHigh HIVHIV testingHIV statusMSM populationHigher oddsCondomless sexHIVTesting ratesHealthy behaviorsLeast college educationWeb-based surveyMale partnersMost men
2018
Crowdsourcing to expand HIV testing among men who have sex with men in China: A closed cohort stepped wedge cluster randomized controlled trial
Tang W, Wei C, Cao B, Wu D, Li K, Lu H, Ma W, Kang D, Li H, Liao M, Mollan K, Hudgens M, Liu C, Huang W, Liu A, Zhang Y, Smith M, Mitchell K, Ong J, Fu H, Vickerman P, Yang L, Wang C, Zheng H, Yang B, Tucker J. Crowdsourcing to expand HIV testing among men who have sex with men in China: A closed cohort stepped wedge cluster randomized controlled trial. PLOS Medicine 2018, 15: e1002645. PMID: 30153265, PMCID: PMC6112627, DOI: 10.1371/journal.pmed.1002645.Peer-Reviewed Original ResearchConceptsHIV testing servicesFacility-based HIV testingHIV testingHIV testSecondary outcomesSyphilis testingIntervention periodClosed cohortWedge clusterCommunity-based HIV testing servicesCondom useSelf-reported HIV testingTesting servicesControl periodHIV testing campaignsHIV testing dataHIV testing ratesHIV testing strategiesHIV testing uptakeSubset of menHIV testing interventionsMiddle-income countriesPrimary outcomeTreat analysisCluster RCTDevelopment and validation of an algorithm to identify drug-induced anaphylaxis in the Beijing Pharmacovigilance Database
Zhao Y, Lu H, Thai S, Li X, Hui J, Tang H, Zhai S, Sun L, Wang T. Development and validation of an algorithm to identify drug-induced anaphylaxis in the Beijing Pharmacovigilance Database. International Journal Of Clinical Pharmacy 2018, 40: 862-869. PMID: 29464448, DOI: 10.1007/s11096-018-0594-z.Peer-Reviewed Original ResearchConceptsDrug-induced anaphylaxisBeijing Pharmacovigilance DatabasePositive predictive valueAdverse drug eventsPharmacovigilance databaseAnaphylactic shockSpecific diagnosisSerious adverse drug eventsPhysician adjudicatorsChart abstractionAnaphylactic reactionsClinical criteriaDrug eventsAnaphylactoid reactionsMAIN OUTCOMEPredictive valueAnaphylaxisDiagnosisGold standardConfidence intervalsPatientsCriteria componentsHospitalDatabaseGreater number