2023
An international research agenda for clozapine-resistant schizophrenia
Luykx J, Gonzalez-Diaz J, Guu T, van der Horst M, van Dellen E, Boks M, Guloksuz S, DeLisi L, Sommer I, Cummins R, Shiers D, Lee J, Every-Palmer S, Mhalla A, Chadly Z, Chan S, Cotes R, Takahashi S, Benros M, Wagner E, Correll C, Hasan A, Siskind D, Endres D, MacCabe J, Tiihonen J. An international research agenda for clozapine-resistant schizophrenia. The Lancet Psychiatry 2023, 10: 644-652. PMID: 37329895, DOI: 10.1016/s2215-0366(23)00109-8.Peer-Reviewed Original ResearchConceptsClozapine-resistant schizophreniaQuality of lifeTreatment optionsTreatment-resistant symptomsThird of patientsNew treatment optionsHealth care providersMiddle-income countriesFunctional outcomeInterventional studyUnmet needEpidemiological researchTranslational approachDiagnostic testsPatientsSchizophreniaHealth policyEarly detectionOptionsSymptomsDiagnosisTrials
2021
Context v. algorithm: evidence that a transdiagnostic framework of contextual clinical characterization is of more clinical value than categorical diagnosis
van Os J, Pries L, Have M, de Graaf R, van Dorsselaer S, Bak M, Kenis G, Lin B, Gunther N, Luykx J, Rutten B, Guloksuz S. Context v. algorithm: evidence that a transdiagnostic framework of contextual clinical characterization is of more clinical value than categorical diagnosis. Psychological Medicine 2021, 53: 1825-1833. PMID: 37310330, PMCID: PMC10106290, DOI: 10.1017/s0033291721003445.Peer-Reviewed Original ResearchConceptsClinical characterizationPolygenic risk scoresClinical valueProspective general population cohortGeneral population cohortUse of medicationsPopulation attributable fractionPrediction of needDSM-IV diagnosisHealth care outcomesSymptom dimensionsTransdiagnostic frameworkClinical factorsAttributable fractionEtiological factorsRisk scoreCare outcomesCategorical algorithmService usePopulation cohortSociodemographic factorsTransdiagnostic symptom dimensionsPhysical healthDiagnosisDSM diagnosesRisk profiles for mental disorders
Gülöksüz S. Risk profiles for mental disorders. European Psychiatry 2021, 64: s71-s71. PMCID: PMC9471330, DOI: 10.1192/j.eurpsy.2021.220.Peer-Reviewed Original ResearchPsychiatric diagnosisSame psychiatric diagnosisDifferent psychiatric diagnosesSame treatment protocolClinical staging modelRisk profilingDiagnosis-specific treatmentsSame treatment planTreatment protocolTreatment responseMedical conditionsClinical practiceDiagnostic classification systemsTreatment planMental disordersStaging modelRisk profileDiscrete diagnostic categoriesPatientsDiagnostic categoriesClinical predictionDiagnosisEarly psychopathologyTraditional diagnostic boundariesPrognosticationAntipsychotics result in more weight gain in antipsychotic naive patients than in patients after antipsychotic switch and weight gain is irrespective of psychiatric diagnosis: A meta-analysis
Bak M, Drukker M, Cortenraad S, Vandenberk E, Guloksuz S. Antipsychotics result in more weight gain in antipsychotic naive patients than in patients after antipsychotic switch and weight gain is irrespective of psychiatric diagnosis: A meta-analysis. PLOS ONE 2021, 16: e0244944. PMID: 33596211, PMCID: PMC7888647, DOI: 10.1371/journal.pone.0244944.Peer-Reviewed Original ResearchConceptsAntipsychotic-naive patientsBody weight changesBody weight gainWeight gainPsychiatric diagnosisNaive patientsWeight changeAntipsychotic useBodyweight gainAntipsychotic-naive groupMore weight gainDiagnosis of schizophreniaAntipsychotic switchMost antipsychoticsShort followSwitch studyMetabolic disturbancesClinical trialsOutcome measuresAntipsychoticsPatientsBody weightNaive groupSwitch groupDiagnosis