2025
Hemispheric asymmetry of [11C](R)PK11195 binding to translocator protein 18 kDa (TSPO) in normal brain.
Alfaifi B, Tuisku J, Matilainen M, Anton-Rodriguez J, Lewis D, Jackson A, Coope D, Airas L, Deakin B, Herholz K, Gerhard A, Hinz R. Hemispheric asymmetry of [11C](R)PK11195 binding to translocator protein 18 kDa (TSPO) in normal brain. Cerebrovascular And Brain Metabolism Reviews 2025, 271678x251348790. PMID: 40536168, PMCID: PMC12179115, DOI: 10.1177/0271678x251348790.Peer-Reviewed Original ResearchTranslocator protein 18 kDaDistribution volume ratioPositron emission tomographyReference tissue input functionTranslocator protein 18 kDa bindingStructural MRI scansTissue input functionBinding to translocator proteinRight hemisphereOccipital cortexHemispheric asymmetryHuman brainHealthy brainRight regionBrainLinear mixed-effects modelsEmission tomographyBinding distributionMixed-effects modelsMRI scansIndependent of ageBrain atlasClinical studiesTranslocator proteinNormal brainRandomized Controlled Trial of Weight Management Versus Weight Management With Concurrent Cognitive‐Behavioral Therapy for Binge‐Eating Disorder in US Veterans With High Weight
Masheb R, Buta E, Snow J, Munro L, Lawless M, Abel E, McWain N, Marsh A, Cary A, Grilo C, Raffa S, Ruser C. Randomized Controlled Trial of Weight Management Versus Weight Management With Concurrent Cognitive‐Behavioral Therapy for Binge‐Eating Disorder in US Veterans With High Weight. International Journal Of Eating Disorders 2025 PMID: 40485646, DOI: 10.1002/eat.24476.Peer-Reviewed Original ResearchDSM-5 binge-eating disorderBinge-eating disorderDSM-5Cognitive-behavioral therapyEating-disorder treatmentRemission rateUS military veteransBinge-eating frequencyMilitary veteransCBTVeteran populationShape-relatedVeteransWeight managementPost-treatmentWeight management programUS veteransMixed-effects modelsDisordersRandomized Controlled TrialsClinical Trials Registry numberPsychopathologyBinge-eatingWeight lossClinical guidanceHow Should Parallel Cluster Randomized Trials With a Baseline Period be Analyzed?—A Survey of Estimands and Common Estimators
Lee K, Li F. How Should Parallel Cluster Randomized Trials With a Baseline Period be Analyzed?—A Survey of Estimands and Common Estimators. Biometrical Journal 2025, 67: e70052. PMID: 40302411, PMCID: PMC12041842, DOI: 10.1002/bimj.70052.Peer-Reviewed Original ResearchConceptsInformative cluster sizeIndependence estimating equationsCluster-period sizesParallel cluster randomized trialsTreatment effect estimatesCluster randomized trialInconsistent estimatesSimulation studyEstimandsEstimating EquationsCluster sizeContinuous outcomesEstimationTreatment effectsEffect estimatesImprove mental healthRandomized trialsConvergenceEquationsRural eastern IndiaMental healthMixed-effects modelsYouth teamsDo Children’s Mental Health Symptoms Impact Their Access to Unlocked Guns at Home?
Tong G, Sivaraman J, Easter M, Duke N, Ranney M, Swanson J, Copeland W. Do Children’s Mental Health Symptoms Impact Their Access to Unlocked Guns at Home? Journal Of The American Academy Of Child & Adolescent Psychiatry 2025 PMID: 40280542, DOI: 10.1016/j.jaac.2025.04.011.Peer-Reviewed Original ResearchMental health symptomsHealth symptomsChild mental healthYouth mental health symptomsAdolescent mental health symptomsGun accessLongitudinal cohort studyMental healthLinear mixed-effects modelsSociodemographic variablesGeneralized linear mixed-effects modelsTest associationsCohort studyMixed-effects modelsAged 9Behavioral symptomsHomeChildrenSymptomsBaselineSoutheastern United StatesUnited StatesParentsAdolescentsAssociationEffects of Tirzepatide in Type 2 Diabetes Individual Variation and Relationship to Cardiometabolic Outcomes
Aminorroaya A, Oikonomou E, Biswas D, Jastreboff A, Khera R. Effects of Tirzepatide in Type 2 Diabetes Individual Variation and Relationship to Cardiometabolic Outcomes. Journal Of The American College Of Cardiology 2025, 85: 1858-1872. PMID: 40368575, PMCID: PMC12186526, DOI: 10.1016/j.jacc.2025.03.516.Peer-Reviewed Original ResearchConceptsElevated body mass indexCardiometabolic abnormalitiesBody mass indexOdds of elevated body mass indexType 2 diabetesIndividual Participant Data Meta-AnalysisMass indexParticipant data meta-analysisOdds of MetSCardiometabolic risk factorsComponents of metabolic syndromeData Meta-AnalysisHigh-density lipoprotein cholesterolCardiometabolic healthStudy design differencesMixed-effects modelsBaseline usePhase 3 randomized clinical trialSodium-glucose cotransporter 2 inhibitorsOddsStudy outcomesEffects of tirzepatideMeta-analysisRisk factorsClinical subpopulationsIncreasing Omission of Race and Ethnicity in a National Surgical Database.
Hu K, Ihnat J, Zhao K, Oh S, Goss J, Parikh N, Kammien A, Fereydooni S, Butler P, Alperovich M. Increasing Omission of Race and Ethnicity in a National Surgical Database. Journal Of The American College Of Surgeons 2025 PMID: 40035446, DOI: 10.1097/xcs.0000000000001372.Peer-Reviewed Original ResearchBM patientsNSQIP-PHospital lengths-of-stayNational surgical databaseLengths-of-stayNon-BM patientsEthnicity dataCochran-Armitage testOdds of readmissionSurgical databaseSurgical outcomesPatient demographicsSurgery typeNSQIP-P.Multivariate analysisIncreased omissionsPatientsSurgical disparitiesCochran-ArmitageMissing raceSurgical careLinear mixed-effects modelsAccurate data collectionComplicationsMixed-effects models[18F]MK-6240 Radioligand Delivery Indices as Surrogates of Cerebral Perfusion: Bias and Correlation Against [15O]Water.
Fu J, Juttukonda M, Garimella A, Salvatore A, Lois C, Ranasinghe A, Efthimiou N, Sari H, Aye W, Guehl N, El Fakhri G, Johnson K, Dickerson B, Izquierdo-Garcia D, Catana C, Price J. [18F]MK-6240 Radioligand Delivery Indices as Surrogates of Cerebral Perfusion: Bias and Correlation Against [15O]Water. Journal Of Nuclear Medicine 2025, 66: 410-417. PMID: 39947916, PMCID: PMC11876731, DOI: 10.2967/jnumed.124.268701.Peer-Reviewed Original ResearchQuantitative Pupillometry Predicts Neurologic Deterioration in Patients with Large Middle Cerebral Artery Stroke
Du Y, Pohlmann J, Chatzidakis S, Brush B, Malinger L, Stafford R, Cervantes‐Arslanian A, Benjamin E, Gilmore E, Dupuis J, Greer D, Smirnakis S, Mohammed S, Ong C. Quantitative Pupillometry Predicts Neurologic Deterioration in Patients with Large Middle Cerebral Artery Stroke. Annals Of Neurology 2025, 97: 930-941. PMID: 39825740, PMCID: PMC12011534, DOI: 10.1002/ana.27178.Peer-Reviewed Original ResearchNeurological Pupil indexMiddle cerebral arteryQuantitative pupillometryNeurological deteriorationMiddle cerebral artery strokeDilation velocitySingle-center observational cohort studyAlberta Stroke Program Early CT ScoreCox proportional hazards modelsObservational cohort studyIntensive care unitProportional hazards modelCT scoreCohort studyYouden indexCerebral arteryCare unitHazards modelTukey testLinear mixed-effects modelsPatientsArtery strokeDilatationOptimal thresholdMixed-effects modelsAir Pollution and Cognitive Impairment Among the Chinese Elderly Population: An Analysis of the Chinese Longitudinal Healthy Longevity Survey (CLHLS)
Zhu Q, Lyu Y, Huang K, Zhou J, Wang W, Steenland K, Chang H, Ebelt S, Shi X, Liu Y. Air Pollution and Cognitive Impairment Among the Chinese Elderly Population: An Analysis of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). GeoHealth 2025, 9: e2024gh001023. PMID: 39776607, PMCID: PMC11705411, DOI: 10.1029/2024gh001023.Peer-Reviewed Original ResearchChinese Longitudinal Health Longevity SurveyWarm-season O<sub>3</sub>Chinese elderly populationAssociated with cognitive impairmentLongevity SurveyCognitive impairmentLinear mixed-effects modelsChinese Longitudinal Healthy Longevity SurveyAir pollutionAssociation of air pollutionMixed-effects modelsAverage NO<sub>2</sub>Average PM<sub>2.5</sub>Elderly populationSingle-pollutant modelsMulti-pollutant modelsLogistic regression modelsCMMSE scoresControl Action PlanAir pollution preventionStudy participantsGaseous air pollutantsFollow-up visitRandom interceptPositive association
2024
Robust, fully-automated assessment of cerebral perivascular spaces and white matter lesions: a multicentre MRI longitudinal study of their evolution and association with risk of dementia and accelerated brain atrophy
Barisano G, Iv M, Choupan J, Hayden-Gephart M, Weiner M, Aisen P, Petersen R, Jack C, Jagust W, Trojanowki J, Toga A, Beckett L, Green R, Saykin A, Morris J, Shaw L, Liu E, Montine T, Thomas R, Donohue M, Walter S, Gessert D, Sather T, Jiminez G, Harvey D, Donohue M, Bernstein M, Fox N, Thompson P, Schuff N, DeCarli C, Borowski B, Gunter J, Senjem M, Vemuri P, Jones D, Kantarci K, Ward C, Koeppe R, Foster N, Reiman E, Chen K, Mathis C, Landau S, Cairns N, Householder E, Reinwald L, Lee V, Korecka M, Figurski M, Crawford K, Neu S, Foroud T, Potkin S, Shen L, Kelley F, Kim S, Nho K, Kachaturian Z, Frank R, Snyder P, Molchan S, Kaye J, Quinn J, Lind B, Carter R, Dolen S, Schneider L, Pawluczyk S, Beccera M, Teodoro L, Spann B, Brewer J, Vanderswag H, Fleisher A, Heidebrink J, Lord J, Petersen R, Mason S, Albers C, Knopman D, Johnson K, Doody R, Meyer J, Chowdhury M, Rountree S, Dang M, Stern Y, Honig L, Bell K, Ances B, Morris J, Carroll M, Leon S, Householder E, Mintun M, Schneider S, Oliver A, Marson D, Griffith R, Clark D, Geld-macher D, Brockington J, Roberson E, Grossman H, Mitsis E, deToledo-Morrell L, Shah R, Duara R, Varon D, Greig M, Roberts P, Albert M, Onyike C, D’Agostino D, Kielb S, Galvin J, Pogorelec D, Cerbone B, Michel C, Rusinek H, de Leon M, Glodzik L, De Santi S, Doraiswamy P, Petrella J, Wong T, Arnold S, Karlawish J, Wolk D, Smith C, Jicha G, Hardy P, Sinha P, Oates E, Conrad G, Lopez O, Oakley M, Simpson D, Porsteinsson A, Goldstein B, Martin K, Makino K, Ismail M, Brand C, Mulnard R, Thai G, Mc Adams Ortiz C, Womack K, Mathews D, Quiceno M, Arrastia R, King R, Weiner M, Cook K, DeVous M, Levey A, Lah J, Cellar J, Burns J, Anderson H, Swerdlow R, Apostolova L, Tingus K, Woo E, Silverman D, Lu P, Bartzokis G, Radford N, Parfitt F, Kendall T, Johnson H, Farlow M, Hake A, Matthews B, Herring S, Hunt C, van Dyck C, Carson R, MacAvoy M, Chertkow H, Bergman H, Hosein C, Black S, Stefanovic B, Caldwell C, Hsiung G, Feldman H, Mudge B, Assaly M, Kertesz A, Rogers J, Trost D, Bernick C, Munic D, Kerwin D, Mesulam M, Lipowski K, Wu C, Johnson N, Sadowsky C, Martinez W, Villena T, Turner R, Johnson K, Reynolds B, Sperling R, Johnson K, Marshall G, Frey M, Yesavage J, Taylor J, Lane B, Rosen A, Tinklenberg J, Sabbagh M, Belden C, Jacobson S, Sirrel S, Kowall N, Killiany R, Budson A, Norbash A, Johnson P, Obisesan T, Wolday S, Allard J, Lerner A, Ogrocki P, Hudson L, Fletcher E, Carmichael O, Olichney J, DeCarli C, Kittur S, Borrie M, Lee T, Bartha R, Johnson S, Asthana S, Carlsson C, Potkin S, Preda A, Nguyen D, Tariot P, Fleisher A, Reeder S, Bates V, Capote H, Rainka M, Scharre D, Kataki M, Adeli A, Zimmerman E, Celmins D, Brown A, Pearlson G, Blank K, Anderson K, Santulli R, Kitzmiller T, Schwartz E, Sink K, Williamson J, Garg P, Watkins F, Ott B, Querfurth H, Tremont G, Salloway S, Malloy P, Correia S, Rosen H, Miller B, Mintzer J, Spicer K, Bachman D, Finger E, Pasternak S, Rachinsky I, Rogers J, Kertesz A, Drost D, Pomara N, Hernando R, Sarrael A, Schultz S, Ponto L, Shim H, Smith K, Relkin N, Chaing G, Raudin L, Smith A, Fargher K, Raj B. Robust, fully-automated assessment of cerebral perivascular spaces and white matter lesions: a multicentre MRI longitudinal study of their evolution and association with risk of dementia and accelerated brain atrophy. EBioMedicine 2024, 111: 105523. PMID: 39721217, PMCID: PMC11732520, DOI: 10.1016/j.ebiom.2024.105523.Peer-Reviewed Original ResearchConceptsRisk of dementiaDementia riskAccelerated brain atrophyLower risk of dementiaMeasures of cognitive functionLongitudinal studyUS National Institutes of HealthNational Institutes of HealthCombat dementiaInstitutes of HealthPerivascular spaces countAlzheimer's disease biomarkersUS National InstitutesClinical measures of cognitive functioningDementiaBrain healthMixed-effects modelsScreening toolClinical measuresConfounding factorsObservational studyCognitive declineLongitudinal trajectoriesParticipantsBrain atrophyDecrease in provider stigma is associated with improved quality health indicators among individuals receiving methadone in primary care centers in Ukraine
Machavariani E, Bromberg D, Dumchev K, Esserman D, Earnshaw V, Pykalo I, Filippovich M, Ivasiy R, Ahmad B, Long J, Haddad M, Madden L, Oliveros D, Dvoriak S, Altice F. Decrease in provider stigma is associated with improved quality health indicators among individuals receiving methadone in primary care centers in Ukraine. International Journal Of Drug Policy 2024, 136: 104682. PMID: 39705875, PMCID: PMC11821433, DOI: 10.1016/j.drugpo.2024.104682.Peer-Reviewed Original ResearchConceptsPrimary care centersQuality health indicatorsProvider stigmaEvidence-based practiceGuideline-concordantPatient outcomesHealth indicatorsReduce provider stigmaCare centerInfluence healthcare utilizationSpecialty health servicesPatient-level outcomesTele-educationImprove patient outcomesProvider fearsImplementation trialHealthcare utilizationPreventive careHealth servicesPoor healthLinear mixed-effects modelsImprove attitudesStigmaIncrease accessMixed-effects modelsTolvaptan and Autosomal Dominant Polycystic Kidney Disease Progression in Individuals Aged 18-35 Years: A Pooled Database Analysis
Chebib F, Dahl N, Zhou X, Garbinsky D, Wang J, Nunna S, Oberdhan D, Fernandes A. Tolvaptan and Autosomal Dominant Polycystic Kidney Disease Progression in Individuals Aged 18-35 Years: A Pooled Database Analysis. Kidney Medicine 2024, 7: 100935. PMID: 39810815, PMCID: PMC11731472, DOI: 10.1016/j.xkme.2024.100935.Peer-Reviewed Original ResearchAutosomal dominant polycystic kidney diseaseMedian Follow-UpEGFR decline rateFollow-upEGFR declineIncreased risk of rapid progressionAutosomal dominant polycystic kidney disease patientsKidney failureRisk of rapid progressionStandard of care treatmentBenefits of tolvaptanTolvaptan-treated patientsChronic kidney disease stageEfficacy of tolvaptanPolycystic kidney disease progressionEffect of tolvaptanAutosomal dominant polycystic kidney disease progressionKidney disease stageDominant polycystic kidney diseaseLong-term efficacyFollow-up periodKidney disease progressionMayo imaging classificationPolycystic kidney diseaseMixed-effects modelsDehydration and Suboptimal Sleep Aggravate Early Renal Impairment in Children: Longitudinal Findings from the PROC Study
Li M, Xiao H, Amaerjiang N, Thapa B, Shu W, Asihaer Y, Guan M, Vermund S, Zou Z, Huang D, Hu Y. Dehydration and Suboptimal Sleep Aggravate Early Renal Impairment in Children: Longitudinal Findings from the PROC Study. Nutrients 2024, 16: 3472. PMID: 39458467, PMCID: PMC11510355, DOI: 10.3390/nu16203472.Peer-Reviewed Original ResearchConceptsTransient renal impairmentRenal impairmentSystolic blood pressure z-scoreBody mass index z-scoreLong sleepBlood pressure z-scoreZ-scoreEarly renal impairmentOptimal sleepAssessment of sleep durationHealthy primary school childrenShort sleepMediterranean diet adherenceHydration statusAssociation of sleep durationSleep durationKidney healthMixed-effects modelsLinear mixed-effects modelsAssess longitudinal associationsMicroalbumin excretionGlomerular impairmentCohort studyDiet adherenceScreen timeF18. ROLE OF PSYCHIATRIC-ASSOCIATED SNVS IN THE EARLY ADULTHOOD: INSIGHTS FROM LONGITUDINAL NEUROIMAGING
Ito L, Ota V, Fernandes D, Martins A, Carvalho C, Zugman A, Sato J, Bressan R, Miguel E, Pan P, Salum G, Belangero S, Santoro M. F18. ROLE OF PSYCHIATRIC-ASSOCIATED SNVS IN THE EARLY ADULTHOOD: INSIGHTS FROM LONGITUDINAL NEUROIMAGING. European Neuropsychopharmacology 2024, 87: 214-215. DOI: 10.1016/j.euroneuro.2024.08.429.Peer-Reviewed Original ResearchPost-traumatic stress disorderAttention deficit/hyperactivity disorderBrain regionsBipolar disorderMental conditionBrain structuresBrazilian High-Risk Cohort StudyPrefrontal cortex regionsFrontal pole regionsHigh Risk Cohort StudyLateral orbitofrontal regionGenome-wide association studiesSignificant main effectDepressive disorderMixed-effects modelsStress disorderDeficit/hyperactivity disorderFrontal cortexOrbitofrontal regionsBiological underpinningsGenetic influencesCortex regionsLongitudinal relationshipIntracranial volumeEarly adulthoodMediation analysis in longitudinal study with high-dimensional methylation mediators
Cui Y, Lin Q, Yuan X, Jiang F, Ma S, Yu Z. Mediation analysis in longitudinal study with high-dimensional methylation mediators. Briefings In Bioinformatics 2024, 25: bbae496. PMID: 39406521, PMCID: PMC11479716, DOI: 10.1093/bib/bbae496.Peer-Reviewed Original ResearchConceptsBody mass indexMediation analysisPaternal body mass indexGeneralized Estimating EquationsLinear mixed-effects modelsCohort dataMass indexMixed-effects modelsDNA methylation sitesHigh-dimensional mediation analysisLongitudinal studyBonferroni correctionAccurate parameter estimatesSobel testVariable selectionLongitudinal dataSimulation studyIndependence screeningMethylation sitesCpG sitesIndirect effectsParameter estimationLinearization methodHypothesis testingAssociation of Race and Ethnicity with Prescriptions for Continuous Glucose Monitoring Systems Among a National Sample of Veterans with Diabetes on Insulin Therapy
Lipska K, Oladele C, Zawack K, Gulanski B, Mutalik P, Reaven P, Lynch J, Lee K, Shih M, Lee J, Aslan M. Association of Race and Ethnicity with Prescriptions for Continuous Glucose Monitoring Systems Among a National Sample of Veterans with Diabetes on Insulin Therapy. Diabetes Technology & Therapeutics 2024, 26: 908-917. PMID: 39177775, DOI: 10.1089/dia.2024.0152.Peer-Reviewed Original ResearchVeterans with diabetesAssociation of raceCross-sectional analysis of dataU.S. Veterans Health AdministrationNational sample of veteransNational sampleInsulin therapyVeterans Health AdministrationSystem-level factorsSample of veteransNon-Hispanic patientsSelf-reported raceContinuous glucose monitoringCross-sectional analysisContinuous glucose monitoring useRate of prescriptionMultivariate mixed-effects modelAfrican American patientsLatino patientsHealth AdministrationAlaska NativesType 2 diabetesPercentage of patientsSignificant disparitiesMixed-effects modelsCross-continental environmental and genome-wide association study on children and adolescent anxiety and depression
Thapaliya B, Ray B, Farahdel B, Suresh P, Sapkota R, Holla B, Mahadevan J, Chen J, Vaidya N, Perrone-Bizzozero N, Benegal V, Schumann G, Calhoun V, Liu J. Cross-continental environmental and genome-wide association study on children and adolescent anxiety and depression. Frontiers In Psychiatry 2024, 15: 1384298. PMID: 38827440, PMCID: PMC11141390, DOI: 10.3389/fpsyt.2024.1384298.Peer-Reviewed Original ResearchEarly life stressAdolescent anxietyLife stressMega-AnalysisCognitive Development StudyHypothalamic-pituitary-adrenal axisSupport IndexAssociated with anxietyRisk of anxietyExternalizing disordersAdolescent brainGenome-wide association studiesGenetic vulnerabilityAnxietyGenome-wide association analysisPublic health concernDepressionMental healthLinear mixed-effects modelsEnvironmental factorsMixed-effects modelsAssociation studiesTissue enrichment analysisGenetic associationGenomic significanceThe impact of social media use on psychiatric symptoms and well-being of children and adolescents in the Post-COVID-19 era: a four-year longitudinal study
Shoshani A, Kor A, Bar S. The impact of social media use on psychiatric symptoms and well-being of children and adolescents in the Post-COVID-19 era: a four-year longitudinal study. European Child & Adolescent Psychiatry 2024, 33: 4013-4027. PMID: 38698136, DOI: 10.1007/s00787-024-02454-2.Peer-Reviewed Original ResearchPsychiatric symptomsSubjective well-beingSocial media useMental healthSocial supportWell-beingPositive emotionsMedia useMental health of childrenMental health outcomesLongitudinal studyAdolescents aged 8Social media usageHealth of childrenWell-being of childrenCOVID-19 pandemicMedia usageHealth outcomesExcessive social media useNegative emotionsTargeted interventionsLife satisfactionIsraeli childrenMixed-effects modelsAged 8Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021
Collaborators G, Vollset S, Ababneh H, Abate Y, Abbafati C, Abbasgholizadeh R, Abbasian M, Abbastabar H, Al Magied A, ElHafeez S, Abdelkader A, Abdelmasseh M, Abd-Elsalam S, Abdi P, Abdollahi M, Abdoun M, Abdullahi A, Abebe M, Abiodun O, Aboagye R, Abolhassani H, Abouzid M, Aboye G, Abreu L, Absalan A, Abualruz H, Abubakar B, Abukhadijah H, Addolorato G, Adekanmbi V, Adetunji C, Adetunji J, Adeyeoluwa T, Adha R, Adhikary R, Adnani Q, Adzigbli L, Afrashteh F, Afzal M, Afzal S, Agbozo F, Agodi A, Agrawal A, Agyemang-Duah W, Ahinkorah B, Ahlstrom A, Ahmad A, Ahmad F, Ahmad M, Ahmad S, Ahmad S, Ahmed A, Ahmed A, Ahmed H, Ahmed S, Ahmed S, Akinosoglou K, Akkaif M, Akrami A, Akter E, Al Awaidy S, Al Hasan S, Al Mosa A, Al Ta'ani O, Al Zaabi O, Alahdab F, Alajlani M, Al-Ajlouni Y, Alalalmeh S, Al-Aly Z, Alam K, Alam N, Alam T, Alam Z, Al-amer R, Alanezi F, Alanzi T, Albakri A, Aldhaleei W, Aldridge R, Alemohammad S, Alemu Y, Al-Gheethi A, Al-Hanawi M, Ali A, Ali A, Ali I, Ali M, Ali R, Ali S, Ali V, Ali W, Al-Ibraheem A, Alicandro G, Alif M, Aljunid S, Alla F, Almazan J, Al-Mekhlafi H, Alqutaibi A, Alrawashdeh A, Alrousan S, Al-Sabah S, Alsabri M, Altaany Z, Al-Tammemi A, Al-Tawfiq J, Altirkawi K, Aluh D, Alvis-Guzman N, Al-Wardat M, Al-Worafi Y, Aly H, Alyahya M, Alzoubi K, Al-Zyoud W, Amani R, Ameyaw E, Amin T, Amindarolzarbi A, Amiri S, Amirzade-Iranaq M, Amu H, Amugsi D, Ancuceanu R, Anderlini D, Anderson D, Andrade P, Andrei C, Andrei T, Andrews E, Anil A, Anil S, Anoushiravani A, Antony C, Antriyandarti E, Anuoluwa B, Anvari S, Anyasodor A, Appiah F, Aquilano M, Arab J, Arabloo J, Arafa E, Arafat M, Aravkin A, Ardekani A, Areda D, Aregawi B, Aremu A, Ariffin H, Arkew M, Armani K, Artamonov A, Arumugam A, Asghari-Jafarabadi M, Ashbaugh C, Astell-Burt T, Athari S, Atorkey, Atout M, Aujayeb A, Ausloos M, Awad H, Awotidebe A, Ayatollahi H, Ayuso-Mateos J, Azadnajafabad S, Azeez F, Azevedo R, Badar M, Baghdadi S, Bagheri M, Bagheri N, Bai R, Baker J, Bako A, Balakrishnan S, Balcha W, Baltatu O, Barchitta M, Bardideh E, Barker-Collo S, Bärnighausen T, Barqawi H, Barteit S, Basiru A, Basso J, Bastan M, Basu S, Bauckneht M, Baune B, Bayati M, Bayileyegn N, Behnoush A, Behzadi P, Beiranvand M, Bello O, Belo L, Beloukas A, Bemanalizadeh M, Bensenor I, Benzian H, Beran A, Berezvai Z, Bernstein R, Bettencourt P, Beyene K, Beyene M, Bhagat D, Bhagavathula A, Bhala N, Bhandari D, Bharadwaj R, Bhardwaj N, Bhardwaj P, Bhargava A, Bhaskar S, Bhat V, Bhattacharjee N, Bhatti G, Bhatti J, Bhatti M, Bhuiyan M, Bisignano C, Biswas B, Bjørge T, Bodolica V, Bodunrin A, Hashemi M, Basara B, Borhany H, Bosoka S, Carvajal A, Bouaoud S, Boufous S, Boxe C, Boyko E, Brady O, Braithwaite D, Brauer M, Brazo-Sayavera J, Brenner H, Brown C, Browne A, Brugha T, Bryazka D, Bulamu N, Buonsenso D, Burkart K, Burns R, Busse R, Bustanji Y, Butt Z, dos Santos F, Barsbay M, Calina D, Campos L, Cao S, Capodici A, Cárdenas R, Carreras G, Carugno A, Carvalho M, Castaldelli-Maia J, 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