2025
Global Prevalence of Long COVID, Its Subtypes, and Risk Factors: An Updated Systematic Review and Meta-analysis
Hou Y, Gu T, Ni Z, Shi X, Ranney M, Mukherjee B. Global Prevalence of Long COVID, Its Subtypes, and Risk Factors: An Updated Systematic Review and Meta-analysis. Open Forum Infectious Diseases 2025, 12: ofaf533. PMID: 41018705, PMCID: PMC12461872, DOI: 10.1093/ofid/ofaf533.Peer-Reviewed Original ResearchPrevalence of long COVIDGlobal prevalenceRisk factorsLong COVIDWell-designed follow-up studiesRisk of bias analysisEffects of risk factorsYears of follow-upUpdate systematic reviewsWeb of ScienceHigh prevalence rateHeterogeneity of estimatesAcute respiratory syndrome coronavirus 2 infectionSevere acute respiratory syndrome coronavirus 2 infectionHealth challengesSystematic reviewPrevalence ratesDerSimonian-Laird estimatorCoronavirus 2 infectionFollow-up studyBias analysisFemale sexMeta-analysisGeneral fatiguePre-Omicron variants
2024
The Effect of Digital Health Interventions on Postpartum Depression or Anxiety: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Lewkowitz A, Whelan A, Ayala N, Hardi A, Stoll C, Battle C, Tuuli M, Ranney M, Miller E. The Effect of Digital Health Interventions on Postpartum Depression or Anxiety: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Obstetric Anesthesia Digest 2024, 44: 204-205. DOI: 10.1097/01.aoa.0001080184.03651.f7.Peer-Reviewed Original ResearchDigital health interventionsPostpartum depressionPostpartum anxietyHealth interventionsEffectiveness of digital health interventionsWomen experience postpartum depressionShortage of trained mental health professionalsTreat postpartum depressionMental health professionalsLack of childcareReproductive-aged individualsRandomized Controlled TrialsPostpartum careIntervention fidelityHealth professionalsMeta-analysis of randomized controlled trialsOvercome barriersUnreliable transportationOwn smartphonesIn-personSystematic reviewSmartphone appControlled TrialsMeta-analysisInterventionPredictive Models to Assess Risk of Persistent Opioid Use, Opioid Use Disorder, and Overdose
Song S, Dandapani H, Estrada R, Jones N, Samuels E, Ranney M. Predictive Models to Assess Risk of Persistent Opioid Use, Opioid Use Disorder, and Overdose. Journal Of Addiction Medicine 2024, 18: 218-239. PMID: 38591783, PMCID: PMC11150108, DOI: 10.1097/adm.0000000000001276.Peer-Reviewed Original ResearchPersistent opioid useOpioid use disorderPrediction model Risk Of Bias ASsessment ToolRisk of biasOpioid useRisk of persistent opioid useSystematic reviewRisk of bias assessment toolOpioid overdoseRisk of opioid use disorderUse disorderOpioid-related risksBias assessment toolFull-text reviewPreferred Reporting ItemsMeta-Analysis guidelinesSubstance use disorder historyPrediction model RiskReporting ItemsElectronic databasesDiagnosis historySTUDY SELECTIONAbstract reviewPrimary outcomeData extraction
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