2024
Efficacy and safety of psychedelics for the treatment of mental disorders: A systematic review and meta-analysis
Yao Y, Guo D, Lu T, Liu F, Huang S, Diao M, Li S, Zhang X, Kosten T, Shi J, Bao Y, Lu L, Han Y. Efficacy and safety of psychedelics for the treatment of mental disorders: A systematic review and meta-analysis. Psychiatry Research 2024, 335: 115886. PMID: 38574699, DOI: 10.1016/j.psychres.2024.115886.Peer-Reviewed Original ResearchConceptsMental disordersTreatment of mental disordersBorderline personality disorderObsessive-compulsive disorderTreat mood disordersSubstance-use disordersBody dysmorphic disorderPersonality disorderMood disordersDysmorphic disorderNegative moodEating disordersLasting adverse effectsTobacco addictionPsychedelicsDisordersTreat symptomsPsilocybinSleep disordersAyahuascaTherapeutic effectMeta-analyzedLSDPTSDMDMADeepBiomarker2: Prediction of Alcohol and Substance Use Disorder Risk in Post-Traumatic Stress Disorder Patients Using Electronic Medical Records and Multiple Social Determinants of Health
Miranda O, Fan P, Qi X, Wang H, Brannock M, Kosten T, Ryan N, Kirisci L, Wang L. DeepBiomarker2: Prediction of Alcohol and Substance Use Disorder Risk in Post-Traumatic Stress Disorder Patients Using Electronic Medical Records and Multiple Social Determinants of Health. Journal Of Personalized Medicine 2024, 14: 94. PMID: 38248795, PMCID: PMC10817272, DOI: 10.3390/jpm14010094.Peer-Reviewed Original ResearchPost-traumatic stress disorderPost-traumatic stress disorder patientsSocial determinants of healthDeterminants of healthMultiple social determinants of healthSubstance use disorder riskSubstance use disordersMultiple social determinantsPredictive of alcoholMedical CenterElectronic medical recordsStress disorderDisorder patientsAverage C-statisticSDoH informationMental disordersSocial determinantsHigh-risk eventsDisorder riskASUDUniversity of Pittsburgh Medical CenterIndicator of increased riskEMR dataZip codesMedication usePrediction of adverse events risk in patients with comorbid post-traumatic stress disorder and alcohol use disorder using electronic medical records by deep learning models
Miranda O, Fan P, Qi X, Wang H, Brannock M, Kosten T, Ryan N, Kirisci L, Wang L. Prediction of adverse events risk in patients with comorbid post-traumatic stress disorder and alcohol use disorder using electronic medical records by deep learning models. Drug And Alcohol Dependence 2024, 255: 111066. PMID: 38217979, PMCID: PMC10853953, DOI: 10.1016/j.drugalcdep.2023.111066.Peer-Reviewed Original ResearchConceptsPost-traumatic stress disorderAlcohol use disorderComorbid post-traumatic stress disorderStress disorderUse disorderCognitive behavioral therapyElectronic medical recordsBehavioral therapyMental disordersNeighborhood-level social determinants of healthNeighborhood-level social determinantsSocial determinants of healthArea under the receiver operating curveDeterminants of healthVeteran dataMedical recordsDisordersPsychotherapyPrediction of adverse eventsVeteran statusPatient's increased riskHigh-risk populationAnalyzed electronic medical recordsUniversity of Pittsburgh Medical CenterAdverse events
2021
Mental and neurological disorders and risk of COVID-19 susceptibility, illness severity and mortality: A systematic review, meta-analysis and call for action
Liu L, Ni S, Yan W, Lu Q, Zhao Y, Xu Y, Mei H, Shi L, Yuan K, Han Y, Deng J, Sun Y, Meng S, Jiang Z, Zeng N, Que J, Zheng Y, Yang B, Gong Y, Ravindran A, Kosten T, Wing Y, Tang X, Yuan J, Wu P, Shi J, Bao Y, Lu L. Mental and neurological disorders and risk of COVID-19 susceptibility, illness severity and mortality: A systematic review, meta-analysis and call for action. EClinicalMedicine 2021, 40: 101111. PMID: 34514362, PMCID: PMC8424080, DOI: 10.1016/j.eclinm.2021.101111.Peer-Reviewed Original ResearchMental disordersIllness severityOdds ratioRisk of COVID-19 susceptibilitySystematic reviewPre-existing schizophreniaCalculate pooled odds ratiosPre-existing dementiaPre-existing mood disorderMeta-analysisAttention-deficit hyperactivity disorderSubgroup analysisCross-sectional studyPooled odds ratioNeurological disordersCOVID-19 susceptibilityMood disordersRandom-effects modelAssociated with pre-existingWeb of ScienceAssociated with high mortalityMiddle-income regionsSignificantly higher riskYoung COVID-19 patientsMeta-regression analysis