2024
Pulsed nicotine infusions as a model for smoking: validating a tool to explore nicotine thresholds in humans
Parida S, MacLean R, Gueorguieva R, Sofuoglu M. Pulsed nicotine infusions as a model for smoking: validating a tool to explore nicotine thresholds in humans. Psychopharmacology 2024, 241: 1915-1922. PMID: 38970644, DOI: 10.1007/s00213-024-06609-6.Peer-Reviewed Original ResearchDiscriminative stimulus effectsAddiction thresholdNicotine doseDiscriminative stimulus effects of nicotineStimulus effects of nicotineNicotine deliveryEffects of nicotineOvernight abstinenceStimulus effectsNicotine infusionSubjective effectsTest sessionsNicotineMethodsEleven participantsInfusion procedureLow dosesParticipantsThreshold doseConclusionsTheseAbstinenceDoseHeart rateInfusionSmokingObjectivesToOvervaluation of shape/weight at posttreatment predicts relapse at 12‐month follow‐up after successful behaviorally‐based treatment of binge‐eating disorder
Grilo C, Ivezaj V, Gueorguieva R. Overvaluation of shape/weight at posttreatment predicts relapse at 12‐month follow‐up after successful behaviorally‐based treatment of binge‐eating disorder. International Journal Of Eating Disorders 2024, 57: 1268-1273. PMID: 38321617, PMCID: PMC11093697, DOI: 10.1002/eat.24141.Peer-Reviewed Original ResearchOvervaluation of shape/weightEating-disorder psychopathologyBinge-eating disorderEating Disorder Examination interviewBeck Depression InventoryWeight loss treatmentClinical overvaluationBinge-eating frequencyDiagnostic specifierBinge eatingNon-abstinenceExamination interviewDepression InventoryShape/weightDepression scoresFollow-upPsychopathologyAbstinenceBingeDepressionClinical implicationsDepression 1PosttreatmentDisordersOvervaluation
2017
Bayesian Joint Modelling of Longitudinal Data on Abstinence, Frequency and Intensity of Drinking in Alcoholism Trials
Buta E, O’Malley S, Gueorguieva R. Bayesian Joint Modelling of Longitudinal Data on Abstinence, Frequency and Intensity of Drinking in Alcoholism Trials. Journal Of The Royal Statistical Society Series A (Statistics In Society) 2017, 181: 869-888. PMID: 31123390, PMCID: PMC6527419, DOI: 10.1111/rssa.12334.Peer-Reviewed Original ResearchBayesian joint modellingParameter estimate biasStandard frequentist approachRandom effectsLog-normal modelJoint modelFrequentist approachBayesian approachMean squared errorJoint modellingEstimate biasIntensity of drinkingSimulation studyFrequency of drinkingSeparate modellingModellingLongitudinal outcomesClinical trialsSame subjectsSustained abstinenceModelLogistic partAbstinence
2015
An analysis of moderators in the COMBINE study: Identifying subgroups of patients who benefit from acamprosate
Gueorguieva R, Wu R, Tsai WM, O’Connor P, Fucito L, Zhang H, O’Malley S. An analysis of moderators in the COMBINE study: Identifying subgroups of patients who benefit from acamprosate. European Neuropsychopharmacology 2015, 25: 1586-1599. PMID: 26141511, PMCID: PMC4600651, DOI: 10.1016/j.euroneuro.2015.06.006.Peer-Reviewed Original ResearchConceptsAcamprosate effectHeavy drinkingShort abstinenceEnhanced treatment responseMonths of treatmentSubgroup of patientsBody mass indexDrug plasma levelsIdentification of subgroupsBetter prognosisLower BMIMass indexPlasma levelsGlutamatergic hyperactivityTreatment responseAcamprosateCOMBINE StudyPrior treatmentLarger studyConsecutive daysAbstinencePretreatment abstinenceTreatment effectsCognitive inefficiencySubgroups