Featured Publications
Cross-trial prediction of treatment outcome in depression: a machine learning approach
Chekroud AM, Zotti RJ, Shehzad Z, Gueorguieva R, Johnson MK, Trivedi MH, Cannon TD, Krystal JH, Corlett PR. Cross-trial prediction of treatment outcome in depression: a machine learning approach. The Lancet Psychiatry 2016, 3: 243-250. PMID: 26803397, DOI: 10.1016/s2215-0366(15)00471-x.Peer-Reviewed Original ResearchConceptsTreatment outcomesTreatment groupsEscitalopram treatment groupSpecific antidepressantsPatient-reported dataSequenced Treatment AlternativesClinical trial dataIndependent clinical trialsClinical remissionSymptomatic remissionClinical trialsTreatment efficacyPatientsProspective identificationTreatment alternativesTrial dataDepressionRemissionAntidepressantsOutcomesGroupLevel 1CitalopramCohortClinicians
2024
Overvaluation 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
2021
Examining depression scores as predictors and moderators of treatment outcomes in patients with binge‐eating disorder
Grilo CM, Gueorguieva R, Pittman B. Examining depression scores as predictors and moderators of treatment outcomes in patients with binge‐eating disorder. International Journal Of Eating Disorders 2021, 54: 1555-1559. PMID: 34137474, DOI: 10.1002/eat.23569.Peer-Reviewed Original ResearchConceptsCognitive behavioral therapyBinge-eating disorderEvidence-based psychological interventionsDepression scoresEating Disorder PsychopathologyBinge-eating frequencyPredictors/moderatorsModerators of responseElevated depression scoresPsychological interventionsBWL interventionModeratorTreatment outcomesBaseline depression scoresLong-term outcomesBWLModerate outcomeFindings reinforceDepressionScoresDisordersInterventionPsychopathologyEarly changesPatients
2018
Predicting Barriers to Treatment for Depression in a U.S. National Sample: A Cross-Sectional, Proof-of-Concept Study
Chekroud AM, Foster D, Zheutlin AB, Gerhard DM, Roy B, Koutsouleris N, Chandra A, Esposti MD, Subramanyan G, Gueorguieva R, Paulus M, Krystal JH. Predicting Barriers to Treatment for Depression in a U.S. National Sample: A Cross-Sectional, Proof-of-Concept Study. Psychiatric Services 2018, 69: 927-934. PMID: 29962307, PMCID: PMC7232987, DOI: 10.1176/appi.ps.201800094.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overCross-Sectional StudiesDepressive DisorderFemaleHealth Services AccessibilityHumansLogistic ModelsMaleMiddle AgedPatient Acceptance of Health CarePrimary Health CareProof of Concept StudyPsychotherapySampling StudiesSelf-AssessmentSurveys and QuestionnairesTreatment RefusalUnited StatesYoung AdultConceptsDiagnosis of depressionHealth care providersSelf-report survey itemsImplementation of interventionsDerivation cohortUntreated depressionCare providersEffective treatmentU.S. national sampleDrug useDepressionDiagnosisTreatmentU.S. National SurveyPatientsCohortNational surveyNational sampleConcept studySurvey itemsBalanced accuracyIndividualsRetention rateIndependent responsesPrevalence