2019
Emulating a trial of joint dynamic strategies: An application to monitoring and treatment of HIV‐positive individuals
Caniglia EC, Robins JM, Cain LE, Sabin C, Logan R, Abgrall S, Mugavero MJ, Hernández‐Díaz S, Meyer L, Seng R, Drozd DR, Seage G, Bonnet F, Le Marec F, Moore RD, Reiss P, Sighem A, Mathews WC, Jarrín I, Alejos B, Deeks SG, Muga R, Boswell SL, Ferrer E, Eron JJ, Gill J, Pacheco A, Grinsztejn B, Napravnik S, Jose S, Phillips A, Justice A, Tate J, Bucher HC, Egger M, Furrer H, Miro JM, Casabona J, Porter K, Touloumi G, Crane H, Costagliola D, Saag M, Hernán MA. Emulating a trial of joint dynamic strategies: An application to monitoring and treatment of HIV‐positive individuals. Statistics In Medicine 2019, 38: 2428-2446. PMID: 30883859, PMCID: PMC6499640, DOI: 10.1002/sim.8120.Peer-Reviewed Original ResearchConceptsHIV-positive individualsCopies/First-line treatment regimenAIDS Research NetworkAIDS-free survivalCells/Integrated Clinical SystemsHIV-CAUSAL CollaborationOutcomes of interestRisk difference estimatesDirect effectAntiretroviral therapyHIV RNACD4 thresholdTreatment regimenNew regimenTreatment strategiesHIV researchTarget trialsRegimenTherapyResearch NetworkTrialsSurvivalClinical systems
2017
Comparison of dynamic monitoring strategies based on CD4 cell counts in virally suppressed, HIV-positive individuals on combination antiretroviral therapy in high-income countries: a prospective, observational study
Caniglia EC, Cain LE, Sabin CA, Robins JM, Logan R, Abgrall S, Mugavero MJ, Hernández-Díaz S, Meyer L, Seng R, Drozd DR, Seage GR, Bonnet F, Dabis F, Moore RD, Reiss P, van Sighem A, Mathews WC, del Amo J, Moreno S, Deeks SG, Muga R, Boswell SL, Ferrer E, Eron JJ, Napravnik S, Jose S, Phillips A, Justice AC, Tate JP, Gill J, Pacheco A, Veloso VG, Bucher HC, Egger M, Furrer H, Porter K, Touloumi G, Crane H, Miro JM, Sterne JA, Costagliola D, Saag M, Hernán MA, Collaboration H, Systems C. Comparison of dynamic monitoring strategies based on CD4 cell counts in virally suppressed, HIV-positive individuals on combination antiretroviral therapy in high-income countries: a prospective, observational study. The Lancet HIV 2017, 4: e251-e259. PMID: 28411091, PMCID: PMC5492888, DOI: 10.1016/s2352-3018(17)30043-7.Peer-Reviewed Original ResearchConceptsCD4 cell countHIV-positive individualsVirological failureHazard ratioCell countViral loadRisk ratioObservational studyTime-varying CD4 cell countHIV RNA viral loadAntiretroviral therapy regimenCombination antiretroviral therapyRNA viral loadAIDS Research NetworkMortality hazard ratioIntegrated Clinical SystemsHIV-CAUSAL CollaborationLong-term safetyCell count differencesAntiretroviral therapyCD4 countTherapy regimenProspective studyImmunological outcomesClinical guidelines
2016
When to Monitor CD4 Cell Count and HIV RNA to Reduce Mortality and AIDS-Defining Illness in Virologically Suppressed HIV-Positive Persons on Antiretroviral Therapy in High-Income Countries
Caniglia EC, Sabin C, Robins JM, Logan R, Cain LE, Abgrall S, Mugavero MJ, Hernandez-Diaz S, Meyer L, Seng R, Drozd DR, Seage GR, Bonnet F, Dabis F, Moore RR, Reiss P, van Sighem A, Mathews WC, del Amo J, Moreno S, Deeks SG, Muga R, Boswell SL, Ferrer E, Eron JJ, Napravnik S, Jose S, Phillips A, Olson A, Justice AC, Tate JP, Bucher HC, Egger M, Touloumi G, Sterne JA, Costagliola D, Saag M, Hernán MA. When to Monitor CD4 Cell Count and HIV RNA to Reduce Mortality and AIDS-Defining Illness in Virologically Suppressed HIV-Positive Persons on Antiretroviral Therapy in High-Income Countries. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2016, 72: 214-221. PMID: 26895294, PMCID: PMC4866894, DOI: 10.1097/qai.0000000000000956.Peer-Reviewed Original ResearchConceptsCD4 cell countHIV-positive individualsAntiretroviral therapyCell countAIDS-defining illnessAntiretroviral-naive individualsAIDS Research NetworkMortality hazard ratioHIV-positive personsIntegrated Clinical SystemsHIV-CAUSAL CollaborationVirologic outcomesHIV RNAVirologic failureHazard ratioClinical outcomesProspective studyRisk ratioHigh-income countriesEligible individualsMonths strategyMonthsIllnessDeathTherapy
2015
Using observational data to emulate a randomized trial of dynamic treatment-switching strategies: an application to antiretroviral therapy
Cain LE, Saag MS, Petersen M, May MT, Ingle SM, Logan R, Robins JM, Abgrall S, Shepherd BE, Deeks SG, Gill M, Touloumi G, Vourli G, Dabis F, Vandenhende MA, Reiss P, van Sighem A, Samji H, Hogg RS, Rybniker J, Sabin CA, Jose S, del Amo J, Moreno S, Rodríguez B, Cozzi-Lepri A, Boswell SL, Stephan C, Pérez-Hoyos S, Jarrin I, Guest JL, Monforte A, Antinori A, Moore R, Campbell CN, Casabona J, Meyer L, Seng R, Phillips AN, Bucher HC, Egger M, Mugavero MJ, Haubrich R, Geng EH, Olson A, Eron JJ, Napravnik S, Kitahata MM, Van Rompaey SE, Teira R, Justice AC, Tate JP, Costagliola D, Sterne JA, Hernán MA, Systems A. Using observational data to emulate a randomized trial of dynamic treatment-switching strategies: an application to antiretroviral therapy. International Journal Of Epidemiology 2015, 45: 2038-2049. PMID: 26721599, PMCID: PMC5841611, DOI: 10.1093/ije/dyv295.Peer-Reviewed Original ResearchConceptsAntiretroviral therapyCopies/Antiretroviral Therapy Cohort CollaborationTime-varying covariatesTight control groupAdjusted hazard ratioAntiretroviral therapy regimenAIDS Research NetworkIntegrated Clinical SystemsHIV-CAUSAL CollaborationDeath eventsCohort CollaborationHazard ratioTherapy regimenRandomized trialsInverse probability weightingInclusion criteriaMortality analysisClinical treatmentAIDSTherapyDeath analysisDeathTrialsComparative effects