2025
Examining the Factor Structure of the Acquired Capability for Suicide Scale (ACSS) in a Military Population: Initial Development and Validation of a Four-Factor Version of the ACSS
Thomas K, Hoyt W, Goldberg S, Abbas M, Schultz M, Hiserodt M, Wyman M. Examining the Factor Structure of the Acquired Capability for Suicide Scale (ACSS) in a Military Population: Initial Development and Validation of a Four-Factor Version of the ACSS. Psychological Services 2025, 22: 312-323. PMID: 39636588, PMCID: PMC12011536, DOI: 10.1037/ser0000917.Peer-Reviewed Original ResearchConceptsInterpersonal theory of suicideTheory of suicideFour-factor versionInterpersonal theorySuicide ScaleAcquired CapabilityFactor structureMilitary populationNational Guard service membersReturn from deploymentConfirmatory factor analysisMonths postdeploymentMilitary sampleSuicidal behaviorPreliminary supportPredictive validityPostdeployment dataAssessment pointsSuicideService membersTheory-relevantVeteran populationLife experiencesFour-factorAdequate validityDelineating Empirically Plausible Causal Pathways to Suicidality Among People at Clinical High Risk for Psychosis
Bronstein M, Kummerfeld E, Bearden C, Cornblatt B, Walker E, Woods S, Mathalon D, Perkins D, Cadenhead K, Addington J, Cannon T, Vinogradov S. Delineating Empirically Plausible Causal Pathways to Suicidality Among People at Clinical High Risk for Psychosis. Journal Of Psychopathology And Clinical Science 2025, 134: 239-250. PMID: 39913476, DOI: 10.1037/abn0000969.Peer-Reviewed Original ResearchConceptsClinical high riskNorth American Prodrome Longitudinal StudyClinical high-risk samplesAttenuated psychosis symptomsPathways to suicideSuicide risk reductionPsychosis symptomsCausal pathwaysDepressed moodPsychosisIntervention effortsSelf-deprecationSuicideLongitudinal studyMeasurement time pointsStudy timepointsHigh riskSymptomsInterventionHopelessnessMoodTime pointsDepressionIndividualsDirect causesGlobal, regional, and national burden of suicide, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
Collaborators G, Weaver N, Bertolacci G, Rosenblad E, Ghoba S, Cunningham M, Ikuta K, Moberg M, Mougin V, Han C, Wool E, Abate Y, Adewuyi H, Adnani Q, Adzigbli L, Afolabi A, Agampodi S, Ahinkorah B, Ahmad A, Ahmad D, Ahmad S, Ahmed A, Ahmed H, Al Hamad H, Al-Ajlouni Y, Al-amer R, Albashtawy M, Aldhaleei W, Ali S, Ali W, Alomari M, Alsabri M, Alvis-Guzman N, Al-Worafi Y, Amindarolzarbi A, Amiri S, Andrei T, Anvari S, Arabloo J, Areda D, Artamonov A, Ashraf T, Athari S, Atout M, Azzam A, Badiye A, Baghcheghi N, Bahramian S, Banach M, Barker-Collo S, Bärnighausen T, Barrow A, Bashiri A, Bashiru H, Bastan M, Batra K, Batra R, Bayati M, Benjet C, Benzian H, Bertuccio P, Bhagavathula A, Bhattacharjee P, Bills C, Boppana S, Borges G, Borhany H, Bustanji Y, dos Santos F, Castelpietra G, Caye A, Cenderadewi M, Chandika R, Chandrasekar E, Charalampous P, Chen Y, Chimoriya R, Chopra H, Choudhari S, Chu D, Chukwu I, Chutiyami M, Cowden R, Dachew B, Dadras O, Dai X, Dalal K, Dandona L, Dandona R, Darcho S, Soltani R, Dávila-Cervantes C, de la Torre-Luque A, Debopadhaya S, Degenhardt L, Delgado-Enciso I, Dervišević E, Diaz M, Dongarwar D, Doshi O, Dsouza H, Dumith S, Duraisamy S, Eboreime E, Efendi F, Ekholuenetale M, Arab R, Elhadi M, ELNahas G, Eltaha C, Haque S, Eskandarieh S, Fahim A, Faro A, Fatehizadeh A, Fazeli P, Feizkhah A, Fekadu G, Ferreira N, Fischer F, Franklin R, Fridayani N, Gajdács M, Gandhi A, Ganesan B, Gebregergis M, Gebrehiwot M, Gebremeskel T, Getie M, Ghadimi D, Ghailan K, Ghashghaee A, Gholamrezanezhad A, Goleij P, Grada A, Grivna M, Guan S, Gulati S, Gupta S, Gutiérrez R, Gutiérrez-Murillo R, Hamilton E, Hanifi N, Hasan I, Tabatabaei M, Hay S, Heidari M, Hemmati M, Hoan N, Hosseinzadeh M, Hostiuc S, Huang J, Huynh H, Ibitoye S, Ilesanmi O, Ilic I, Ilic M, Immurana M, Inok A, Iwu C, Jahrami H, Jaka S, Yengejeh R, Ji Z, Jin S, Joseph N, Joshua C, Jozwiak J, Kabir Z, Kadashetti V, Kanmodi K, Kantar R, Kapoor N, Karaye I, Karmakar S, Kaur H, Kerr J, Khajuria H, Khan A, Khatab K, Kheirallah K, Kim K, Kim M, Shivakumar S, Kolahi A, Koohestani H, Krishna V, Kugbey N, Kulimbet M, Kumar G, Kumar M, Kundu S, Kytö V, Landires I, Le N, Lee D, Lee W, Lee Y, Lim S, Lin J, Liu R, López-Gil J, Lucchetti G, Feei Z, Maled V, Malhotra K, Malik A, Marconi A, Martinez-Piedra R, Marzo R, Mathangasinghe Y, Maulik P, Meles H, Menezes R, Meretoja T, Mestrovic T, Michalek I, Miller T, Mirza M, Misganaw A, Mittal C, Mohamed A, Mohamed N, Mohammadian-Hafshejani A, Mokdad A, Molinaro S, Monasta L, Ghalibaf A, Morrison S, Motappa R, Mughal F, Mulita F, Munkhsaikhan Y, Murray C, Muthu S, Myung W, Nafei A, Naghavi P, Naik G, Naik G, Natto Z, Naveed M, Navid S, Nayak B, Nazri-Panjaki A, Netsere H, Neupane S, Nguyen H, Nguyen N, Nguyen P, Phuong The Nguyen, Nguyen V, Nikoobar A, Noguer I, Nomura S, Nri-Ezedi C, Nuñez-Samudio V, Nzoputam O, Oancea B, Oduro M, Oh I, Okeke S, Oluwafemi Y, Ong S, Ordak M, Orpana H, Ortiz-Prado E, Osuagwu U, Padron-Monedero A, Padubidri J, Palma-Alvarez R, Pandey A, Pandey A, Pantazopoulos I, Park S, Park S, Pashaei A, Patel J, Pawar S, Peprah, Peres M, Petcu I, Philip A, Phillips M, Piracha Z, Pradhan J, Prates E, Pribadi D, Puvvula J, Qattea I, Qian G, Radhakrishnan V, Raghav P, Rahimibarghani S, Rahimi-Movaghar A, Rahimi-Movaghar V, Rahman M, Rahman M, Rahman M, Rahmanian M, Rajpoot P, Ramadan M, Ramasamy S, Rani S, Rao M, Rao S, Rashidi M, Rastogi P, Rathish D, Rawaf D, Reifels L, Rezaeian M, Rhee T, Rickard J, Roever L, Rony M, Chandan S, Saddik B, Sadeghian F, Saeb M, Saeed U, Moghaddam S, Safari M, Sagoe D, Sharif-Askari N, Sahoo P, Sahoo S, Salamati P, Salihu D, Salimi S, Salum G, Sameen S, Samy A, Santric-Milicevic M, Sarkar C, Sarode G, Sarode S, Sathian B, Schumacher A, Šekerija M, Semreen M, Sepanlou S, Shafie M, Shahid S, Shaikh A, Shaikh M, Sharifan A, Rad J, Sharma A, Sharma V, Sheikhi R, Shetty M, Shetty P, Shetty P, Shivarov V, Shool S, Singh P, Singh P, Singh S, Socea B, Stein D, Stein M, Sun J, Swain C, Szarpak L, Y S, Tabatabaei S, Tabche C, Tareke M, Temsah M, Thum C, Tiruye T, Tovani-Palone M, Tran N, Tran T, Duc N, Tromans S, Truyen T, Tsegay G, Tumurkhuu M, Vahdati S, Vaithinathan A, Valdez P, Vasankari T, Veroux M, Verras G, Vinayak M, Vos T, Walde M, Wang Y, Ward J, Wickramasinghe N, Wojewodzic M, Yesodharan R, Yiğit A, Yin D, Yip P, Yon D, Yonemoto N, Yu C, Zare I, Zeariya M, Zhang H, Zhong C, Zhu B, Zhumagaliuly A, Naghavi M. Global, regional, and national burden of suicide, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet Public Health 2025, 10: e189-e202. PMID: 39986290, PMCID: PMC11876099, DOI: 10.1016/s2468-2667(25)00006-4.Peer-Reviewed Original ResearchConceptsAge-standardised mortality ratesBurden of suicideRates of suicideIncidence of suicide attemptsGlobal burdenHighest age-standardised rateGlobal Burden of Disease StudyBurden of Disease StudyGlobal Burden of DiseaseSouthern sub-Saharan AfricaMortality rateAge-standardised ratesSub-Saharan AfricaPublic health frameworkRisk Factors StudyReduce suicide mortalityBurden of diseasePopulation mortality ratesMortality surveillanceCentral sub-Saharan AfricaVerbal autopsySuicide attemptsSuicide burdenVital registrationHealth frameworkChronotherapeutic intervention targeting emotion regulation brain circuitry, symptoms, and suicide risk in adolescents and young adults with bipolar disorder: a pilot randomised trial
Kim J, Sankar A, Marks R, Carrubba E, Lecza B, Quatrano S, Spencer L, Constable R, Pittman B, Lebowitz E, Silverman W, Swartz H, Blumberg H. Chronotherapeutic intervention targeting emotion regulation brain circuitry, symptoms, and suicide risk in adolescents and young adults with bipolar disorder: a pilot randomised trial. BMJ Mental Health 2025, 28: e301338. PMID: 39971594, PMCID: PMC11840897, DOI: 10.1136/bmjment-2024-301338.Peer-Reviewed Original ResearchConceptsBipolar disorderEmotion regulationSuicide riskBrain circuitryChronotherapeutic interventionsEmotional face stimuliLeft amygdala responseRisk of bipolar disorderTargeting emotion regulationReduce suicide riskHigher suicide riskYoung adultsFunctional MRI dataPost-treatment improvementAmygdala responsePotential intervention targetsEmotion dysregulationMania symptomsMood episodesFace stimuliCircuitry dysfunctionRegulation therapyDaily rhythmsWeekly sessionsSelf-monitoringGambling in Connecticut adolescents: Prevalence, socio-demographic characteristics, trauma exposure, suicidality, and other risk behaviors
Stefanovics E, Zhai Z, Potenza M. Gambling in Connecticut adolescents: Prevalence, socio-demographic characteristics, trauma exposure, suicidality, and other risk behaviors. PLOS ONE 2025, 20: e0290589. PMID: 39908256, PMCID: PMC11798454, DOI: 10.1371/journal.pone.0290589.Peer-Reviewed Original ResearchConceptsSocial supportRisk behaviorsCorrelates of gamblingTraumatic experiencesPoor health outcomesAssociated with traumatic experiencesImplement tailored interventionsReceipt of social supportHealth risk behaviorsConnecticut high school studentsSocio-demographic characteristicsFamily social supportAcademic performanceAssociated with suicideInfluence gambling behaviorPublic health concernTailored interventionsHealth outcomesPast-year gamblingYouth Risk Behavior SurveyPoor academic performanceTrauma exposureRisk Behavior SurveyCurrent prevalenceHigh school studentsResilience and Vulnerability: Suicide-Specific Cognitions in a Nationally Representative Sample of US Military Veterans.
Fischer I, Nichter B, Trachik B, Bryan C, Pietrzak R. Resilience and Vulnerability: Suicide-Specific Cognitions in a Nationally Representative Sample of US Military Veterans. The Primary Care Companion For CNS Disorders 2025, 27 PMID: 39823445, DOI: 10.4088/pcc.24m03821.Peer-Reviewed Original ResearchConceptsSuicide-specific cognitionsNationally representative sampleUS military veteransSuicide riskMilitary veteransActivities of daily livingNational Health and ResilienceSample of US military veteransSuicide Cognitions ScalePrevalence of veteransPositive psychological traitsReduce suicide riskAdverse childhood experiencesDaily livingPsychosocial characteristicsSocial supportVeterans StudyUS veteransSuicidal behaviorSuicidal ideationCognitive scalesRepresentative samplePsychological traitsElevated riskSocial connectednessInsight and suicidality in first-episode psychosis: The mediating role of depression
Tayfur S, Song Z, Li F, Hazan H, Gibbs-Dean T, Purushothaman D, Karmani S, Terashima J, Tek C, Srihari V. Insight and suicidality in first-episode psychosis: The mediating role of depression. Schizophrenia Research 2025, 275: 189-195. PMID: 39754935, DOI: 10.1016/j.schres.2024.12.013.Peer-Reviewed Original ResearchConceptsFirst-episode psychosisPredictors of suicideCoordinated specialty careTreatment of depressionPersistence of depressionEffects of depressionSuicide attemptsMediation analysisPrevent suicideDepressionSuicideImpact suicidePsychosisTargeted interventionsLongitudinal cohort studyEarly treatment stageParticipantsSignificant predictorsImproving clinical outcomesRegression analysisSpecialty careClinical outcomesCohort studyRelationshipMonths
2024
Suicide Risk Among Veterans Who Receive Evidence-Based Therapy for Posttraumatic Stress Disorder
Saulnier K, Brabbs S, Szymanski B, Harpaz-Rotem I, McCarthy J, Sripada R. Suicide Risk Among Veterans Who Receive Evidence-Based Therapy for Posttraumatic Stress Disorder. JAMA Network Open 2024, 7: e2452144. PMID: 39724372, PMCID: PMC11672158, DOI: 10.1001/jamanetworkopen.2024.52144.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationPosttraumatic stress disorder diagnosisVeterans Health Administration carePosttraumatic stress disorderSuicide riskStress disorderAdequate courseDeath certificate dataAssociated with lower suicide riskCohort study of veteransMortality Data RepositoryPopulation-based sampleStudy of veteransLower suicide riskReceipt of evidence-based treatmentsEvidence-based psychotherapiesMultivariable proportional hazards regressionProportional hazards regressionEvidence-based treatmentsAssociated with suicideEvidence-based therapiesCertificate dataSuicide mortalityHealth AdministrationMain OutcomesAssociation of holidays and the day of the week with suicide risk: multicountry, two stage, time series study
Lee W, Kang C, Park C, Bell M, Armstrong B, Roye D, Hashizume M, Gasparrini A, Tobias A, Sera F, Honda Y, Urban A, Kyselý J, Íñiguez C, Ryti N, Guo Y, Tong S, de Sousa Zanotti Stagliorio Coelho M, Lavigne E, de'Donato F, Guo Y, Schwartz J, Schneider A, Breitner S, Chung Y, Kim S, Ha E, Kim H, Kim Y, Network M, Jaakkola J, Matus P, Ortega N, Orru H, Indermitte E, Michelozzi P, Vicedo-Cabrera A, Ragettli M, Pan S, Kan H, Seposo X, Masselot P, Li S, Huang W, Diaz M, De la Cruz Valenci C, Holobaca I, Scovronick N, Acquaotta F, Zanobetti A, Dang T, Saldiva P. Association of holidays and the day of the week with suicide risk: multicountry, two stage, time series study. The BMJ 2024, 387: e077262. PMID: 39442941, PMCID: PMC11497772, DOI: 10.1136/bmj-2024-077262.Peer-Reviewed Original ResearchEpisodic future thinking and psychopathology: A focus on depression and suicide risk
Nam R, Lowry N, Lawrence O, Novotny L, Cha C. Episodic future thinking and psychopathology: A focus on depression and suicide risk. Current Opinion In Psychology 2024, 59: 101853. PMID: 39128387, DOI: 10.1016/j.copsyc.2024.101853.Peer-Reviewed Original ResearchConceptsEpisodic future thinkingFuture thinkingAssociated with depressive symptomsSignificant cognitive processesAutobiographical eventsEmotional valenceSuicide riskDepressive symptomsSuicidal thoughtsCognitive processesPsychopathologyDepressionSuicideTemporal associationAnhedoniaSadnessThinkingSymptomsThoughtsYouthPredicting the Population Risk of Suicide Using Routinely Collected Health Administrative Data in Quebec, Canada: Model-Based Synthetic Estimation Study
Wang J, Kharrat F, Gariépy G, Gagné C, Pelletier J, Massamba V, Lévesque P, Mohammed M, Lesage A. Predicting the Population Risk of Suicide Using Routinely Collected Health Administrative Data in Quebec, Canada: Model-Based Synthetic Estimation Study. JMIR Public Health And Surveillance 2024, 10: e52773. PMID: 38941610, PMCID: PMC11245657, DOI: 10.2196/52773.Peer-Reviewed Original ResearchConceptsHealth administrative dataCommunity-level predictorsRisk prediction modelHealth care systemPopulation riskAdministrative dataHigh-risk regionsHealth systemCare systemIndividual's risk of suicideApplication of risk prediction modelsPopulation health planningHealth administrative databasesSignificant public health issueCase-control study designCommunity-level variablesRisk prediction toolsPublic health issueRisk of suicideSex-specific modelsProportion of suicidesIndividual-level predictorsAdministrative databasesHealth plansSuicide preventionDepression - Understanding, Identifying, and Diagnosing.
Anderson E, Crawford C, Fava M, Ingelfinger J, Nikayin S, Sanacora G, Scott-Vernaglia S, Teel J. Depression - Understanding, Identifying, and Diagnosing. New England Journal Of Medicine 2024, 390: e41. PMID: 38692291, DOI: 10.1056/nejmp2310179.Peer-Reviewed Original ResearchExplainable artificial intelligence models for predicting risk of suicide using health administrative data in Quebec
Kharrat F, Gagne C, Lesage A, Gariépy G, Pelletier J, Brousseau-Paradis C, Rochette L, Pelletier E, Lévesque P, Mohammed M, Wang J. Explainable artificial intelligence models for predicting risk of suicide using health administrative data in Quebec. PLOS ONE 2024, 19: e0301117. PMID: 38568987, PMCID: PMC10990247, DOI: 10.1371/journal.pone.0301117.Peer-Reviewed Original ResearchConceptsQuebec Integrated Chronic Disease Surveillance SystemLogistic regressionChronic Disease Surveillance SystemPredicting risk of suicideMental health service planningPrimary care programsHealth administrative dataHealth service planningCommunity level variablesCase-control study designPositive predictive valueManaged care systemRisk of suicideDisease surveillance systemsCare programProvince of QuebecSubstance use disordersCare systemMental healthSuicide preventionCommunity factorsService planningAdministrative dataPopulation riskExperience of suicidal behaviorsUsing Shame as a Signal to Talk about Suicide
Siegel J, Ko C. Using Shame as a Signal to Talk about Suicide. Clinical Chemistry 2024, 70: 786-788. PMID: 38441566, DOI: 10.1093/clinchem/hvae017.Peer-Reviewed Original ResearchSuicide Risk Screening Tools for Pediatric Patients: A Systematic Review of Test Accuracy.
Lowry N, Goger P, Hands Ruz M, Ye F, Cha C. Suicide Risk Screening Tools for Pediatric Patients: A Systematic Review of Test Accuracy. Pediatrics 2024, 153 PMID: 38356410, DOI: 10.1542/peds.2023-064172.Peer-Reviewed Original ResearchConceptsSuicide risk screening toolRisk screening toolAsk Suicide-Screening QuestionsNonpsychiatric medical settingsScreening toolMedical settingsSystematic reviews of test accuracySystematic reviewAccuracy of screening toolsTool's psychometric propertiesHealth care settingsStudy risk of biasSuicidal youthRisk of biasRobust evidence baseAdaptive screeningPeer-reviewed articlesCare settingsPediatric careMethodological qualityStratified resultsEvidence basePsychometric propertiesStudy heterogeneityMeta-analytic approachFirearm storage practices among military veterans in the United States: Findings from a nationally representative survey
Nichter B, Hill M, Fischer I, Panza K, Kline A, Na P, Norman S, Rowcliffe M, Pietrzak R. Firearm storage practices among military veterans in the United States: Findings from a nationally representative survey. Journal Of Affective Disorders 2024, 351: 82-89. PMID: 38280567, DOI: 10.1016/j.jad.2024.01.179.Peer-Reviewed Original ResearchConceptsFirearm storage practicesContemporary population-based dataNational Health and ResiliencePromote safe firearm storageTrauma exposureAssociated with increased risk of suicidePopulation-based dataCross-sectional designStorage of firearmsAssociated with increased riskRisk of suicideNationally representative surveyDrug use disordersHealthcare professionalsSociodemographic characteristicsVeterans StudyFirearm storageTraumatic brain injuryU.S. veteransService membersMilitary veteransStorage practicesTraining initiativesVeteransRisk statusAccounting for diversity in the treatment of suicide and self‐injury: A systematic review of the past 50 years of randomized controlled trials
Guzmán E, LeDuc M, B. C, Goger P, Ng M, Huang X, Ribeiro J, Fox K. Accounting for diversity in the treatment of suicide and self‐injury: A systematic review of the past 50 years of randomized controlled trials. Suicide And Life-Threatening Behavior 2024, 54: 250-262. PMID: 38193589, DOI: 10.1111/sltb.13037.Peer-Reviewed Original ResearchConceptsSelf-injurious thoughtsTreatment of suicidalityRandomized controlled trialsSelf-injuryTreatment literatureTreatment researchSITBsControlled trialsSystematic reviewSample characteristicsNon-LGBTQ+Sample representativeSocioeconomic statusNon-HispanicReporting practicesHigher incomeDiverse backgroundsDiverse populations
2023
Prognosis and risk of suicide after cancer diagnosis
Kinslow C, Kumar P, Olfson M, Wall M, Petridis P, Horowitz D, Wang T, Kachnic L, Cheng S, Prigerson H, Yu J, Neugut A. Prognosis and risk of suicide after cancer diagnosis. Cancer 2023, 130: 588-596. PMID: 38018695, DOI: 10.1002/cncr.35118.Peer-Reviewed Original ResearchConceptsRisk of suicideCancer diagnosisSuicide riskCancer sitesMonths of diagnosisRelative risk of suicideSuicide deathsBaseline suicide riskSuicide ratesNewly diagnosed cancerYears of follow-upImpact of prognosisExistential distressAssociated with suicide riskMortality ratioWeighted linear regression modelImpending deathLinear regression modelsUS populationRelative riskGeneral populationBaseline riskAssociated with overall prognosisEnd Results databaseOverall survival rateAnti-suicidal effects of IV ketamine in a real-world setting
O'Brien B, Lee J, Kim S, Nandra G, Pannu P, Tamman A, Amarneh D, Swann A, Murphy N, Averill L, Jha M, Mathew S. Anti-suicidal effects of IV ketamine in a real-world setting. Psychiatry Research 2023, 331: 115604. PMID: 38064911, DOI: 10.1016/j.psychres.2023.115604.Peer-Reviewed Original ResearchConceptsKetamine treatmentIntravenous ketamine treatmentProportion of patientsAnti-suicidal effectsGroup of patientsTwo-week courseKetamine effectsSymptoms of suicidalityPatientsReal-world settingClinical samplesRapid improvementTrajectory groupsBaselinePossible effectivenessTreatmentScoresKetamineSymptomsGradual improvementSuicidalityDemographic variablesPresent studyHigher scoresCurrent studyThe Zero Suicide Model in Addiction Treatment Settings: Recognizing the Need for Feasibility and Implementation Data
Arakelian M, Barnett B, Weleff J. The Zero Suicide Model in Addiction Treatment Settings: Recognizing the Need for Feasibility and Implementation Data. Psychiatric Services 2023, 75: 378-380. PMID: 37933133, DOI: 10.1176/appi.ps.20230175.Peer-Reviewed Original ResearchConceptsAddiction treatment settingsTreatment settingsZero SuicideSubstance use disordersZero Suicide modelAddiction outcomesUse disorderSuicide modelsAddiction treatmentHealth care settingsAddictionHealth care systemSuicide preventionSuicideImplement best practicesCare settingsCare systemOpen ForumIncreased riskBest practicesHealthDisordersSetsResearchClinicians
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