2025
Amino acid patterns predict white matter integrity measures in the brain in patients across the Alzheimer’s disease continuum
Goharmanesh F, Masmoie M, Nasiri H, Sadat-Madani S, Namin S, Damizadeh M, Shakeri S, Sodeifian F, Rajabpour-Sanati A, Bahrainian B, Mohammadi Y, Shushtari A, Mayeli M. Amino acid patterns predict white matter integrity measures in the brain in patients across the Alzheimer’s disease continuum. Metabolic Brain Disease 2025, 40: 227. PMID: 40531346, DOI: 10.1007/s11011-025-01647-1.Peer-Reviewed Original ResearchAcute Ischemic Stroke Risk Following Cardiac Interventions in the United States From 2016 to 2021
Koo A, Zhou L, Hameed I, Rivier C, Clocchiatti-Tuozzo S, Kamel H, Falcone G, Ney J, Sharma R, Matouk C, Yaghi S, Sheth K, de Havenon A. Acute Ischemic Stroke Risk Following Cardiac Interventions in the United States From 2016 to 2021. Neurology 2025, 105: e213766. PMID: 40493873, PMCID: PMC12165311, DOI: 10.1212/wnl.0000000000213766.Peer-Reviewed Original ResearchConceptsIntervention hospitalsSurvey weightsNon-Hispanic black ethnicityNIH Stroke ScaleStroke riskIschemic strokeFactors associated with ischemic strokeAssociated with female sexCardiac interventionsIschemic stroke riskIncidence of ischemic strokeVariables associated with riskRate of ischemic strokeNational Inpatient SampleHigh-risk populationDiagnosis-related groupsIntervention patientsCross-sectional cohortUnited StatesAcute ischemic stroke riskIn-hospital deathRisk of strokeSecondary analysisBlack ethnicityInpatient mortalityHousehold practices and infrastructure associated with high Plasmodium falciparum infection rates among children under five years old in Northern Uganda
Echodu R, Ajolorwot S, Aryemo F, Nyeko C, Okot J, Iwiru T, Nakiwu V, Bei A, DeBlasio M, Turyasingura N, Zhang E, Parikh S. Household practices and infrastructure associated with high Plasmodium falciparum infection rates among children under five years old in Northern Uganda. Malaria Journal 2025, 24: 181. PMID: 40484941, PMCID: PMC12145591, DOI: 10.1186/s12936-025-05288-8.Peer-Reviewed Original ResearchConceptsIndoor residual sprayingArtemisinin-based combination therapyMalaria prevalenceCoverage of indoor residual sprayingPlasmodium falciparum infection rateIndoor residual spraying coverageEffective malaria preventionHighest malaria prevalenceInsecticide-treated netsConclusionA high prevalenceReduce malaria prevalenceHealth-seeking behaviorYears of ageMalaria preventionCombination therapyInsecticidal netsPlasmodium falciparumGovernment health centersBed netsMethodsA cross-sectional surveyPositive prevalenceResidual sprayingUntreated netsPre-tested questionnaireMosquito netsGender Differences in Medicare Practice and Payment of Neuroradiologists.
Malhotra A, Lee C, Khunte M, Futela D, Moily R, Payabvash S, Gandhi D, Wintermark M. Gender Differences in Medicare Practice and Payment of Neuroradiologists. American Journal Of Neuroradiology 2025, 46: 1093-1099. PMID: 40461255, PMCID: PMC12152790, DOI: 10.3174/ajnr.a8633.Peer-Reviewed Original ResearchMeSH KeywordsCross-Sectional StudiesFemaleHumansMaleMedicarePhysicians, WomenPractice Patterns, Physicians'RadiologistsRetrospective StudiesSex FactorsUnited StatesTrends and Key Factors Associated With Racial and Ethnic Differences in Life’s Essential 8 Scores
Yang H, Huang C, Sawano M, Herrin J, Faridi K, Li Z, Spatz E, Krumholz H, Lu Y. Trends and Key Factors Associated With Racial and Ethnic Differences in Life’s Essential 8 Scores. JAMA Network Open 2025, 8: e2516663. PMID: 40531529, PMCID: PMC12177675, DOI: 10.1001/jamanetworkopen.2025.16663.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedCross-Sectional StudiesEthnicityFemaleHealth Status DisparitiesHumansMaleMiddle AgedNutrition SurveysRacial GroupsUnited StatesYoung AdultConceptsLife's Essential 8 scoreLife's Essential 8Cross-sectional studyWhite differencesEthnic differencesNational Health and Nutrition Examination SurveyHealth and Nutrition Examination SurveySleep health scoreNutrition Examination SurveyGroup-specific interventionsPrimary positive factorPhysical activityExamination SurveyHealth scoresBlack adultsWhite adultsMain OutcomesAsian adultsOverall scoreEvaluate trendsNicotine exposureEssential 8Blood lipidsAdultsEthnic groupsEpidemiology of Neuroendocrine Neoplasms in the US
Dasari A, Wallace K, Halperin D, Maxwell J, Kunz P, Singh S, Chasen B, Yao J. Epidemiology of Neuroendocrine Neoplasms in the US. JAMA Network Open 2025, 8: e2515798. PMID: 40553474, PMCID: PMC12188367, DOI: 10.1001/jamanetworkopen.2025.15798.Peer-Reviewed Original ResearchConceptsDuration prevalenceIncidence rateNational Cancer Institute's SurveillanceNeuroendocrine neoplasmsOverall survivalNeuroendocrine tumorsAge-adjusted incidenceSurvival trends of patientsAnnual age-adjusted incidenceNeuroendocrine neoplasm casesCross-sectional studyHighest incidence ratePrimary siteTrends of patientsInstitute's SurveillanceMain OutcomesPrevalence of neuroendocrine neoplasmsSmall bowelPrimary site of originFactors associated with survivalDiagnosis of early stage diseasePractice patternsPancreatic neuroendocrine tumorsGastrointestinal neuroendocrine tumorsEarly stage diseaseNational Trends in Suicidal Thoughts and Suicide Attempts Among High School Students in the United States
Bommersbach T, Olfson M, Rhee T. National Trends in Suicidal Thoughts and Suicide Attempts Among High School Students in the United States. American Journal Of Psychiatry 2025, 182: 639-659. PMID: 40432341, DOI: 10.1176/appi.ajp.20240706.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentCross-Sectional StudiesFemaleHumansMaleStudentsSuicidal IdeationSuicide, AttemptedUnited StatesConceptsPast-year suicidal thoughtsSuicidal thoughtsHigh school studentsHealth risk behaviorsSuicidal symptomsSuicide attemptsNon-Hispanic whitesSchool studentsBehavioral risksBlack studentsNational trendsHigh school seniorsU.S. high school studentsDepressive symptomsAttempted suicideRisk categoriesEstimate national trendsBiennial cross-sectional surveysMultivariate logistic regressionSuicideYouth Risk Behavior SurveySchool seniorsElevated ratesHealth risk categoriesRisk Behavior SurveyInvestigating the familiality of trichotillomania and excoriation disorder
Chen D, Farhat L, Lebowitz E, Silverman W, Bloch M, Fernandez T, Olfson E. Investigating the familiality of trichotillomania and excoriation disorder. Psychiatry Research 2025, 350: 116560. PMID: 40449230, PMCID: PMC12179820, DOI: 10.1016/j.psychres.2025.116560.Peer-Reviewed Original ResearchConceptsFamily history of mental health disordersFirst-degreeHistory of mental health disordersSelf-reported family historyExcoriation disorderFamily history of individualsMental health historyMental health disordersFamily history of anxietyHistory of anxietyCross-sectional survey responsesFirst-degree relativesHealth historyHealth disordersFamily historySurvey responsesAged 4Etiological underpinningsTrichotillomaniaAnxietyDepressionIndividualsHistory of individualsDisordersEnvironmental factorsVariations in management strategies for stable coronary artery disease in the Asia-Pacific region: Insights from a multinational survey.
Cuenza L, Honda S, Fong K, Sawano M, Cader F, Surunchupakorn P, Widodo W, Dalakoti M, Kang J, Chimura M, Al-Omary M, Lee Z, Sari N, Suesat T, Ahmad T, Magno J, Tan C, Tiksnadi B, Hewarathna U, Habib F, Lee D, Yap J. Variations in management strategies for stable coronary artery disease in the Asia-Pacific region: Insights from a multinational survey. Annals, Academy Of Medicine, Singapore 2025, 54: 283-295. PMID: 40471110, DOI: 10.47102/annals-acadmedsg.2024340.Peer-Reviewed Original ResearchConceptsStable coronary artery diseaseCoronary artery diseaseRandomised controlled trialsPractice scoresGuideline recommendationsCross-sectional electronic surveyArtery diseaseManagement of stable coronary artery diseaseTreatment of stable coronary artery diseaseOptimal medical therapyKnowledge scoresLow attitude scoresAttitude scoresElectronic surveyMedical therapyBaseline knowledgeCase scenariosSociety guidelinesPractising physiciansContemporary guidelinesInvasive strategyControlled trialsCardiovascular physiciansGuideline interpretationCardiovascular practitionersSocio‐ecological domains and adolescent mental health: An application of the dual‐factor model
Rose T, Lambert S, Liu C, Raghunathan R, Musci R, Sullivan A, Lyall K, Elliott A, McEvoy C, Frazier J, Shipp G, Koinis‐Mitchell D, Ganiban J, Smith P, Newby L, Adair L, Jacobson L, Catellier D, McGrath M, Douglas C, Duggal P, Knapp E, Kress A, Blackwell C, Mansolf M, Lai J, Ho E, Cella D, Gershon R, Macy M, Das S, Freedman J, Mallal S, McLean J, Shah R, Shilts M, Alshawabkeh A, Cordero J, Meeker J, Trasande L, Camargo C, Hasegawa K, Zhu Z, Sullivan A, Dabelea D, Perng W, Bekelman T, Wilkening G, Magzamen S, Moore B, Starling A, Rinehart D, Mitchell D, D’Sa V, Deoni S, Mueller H, Duarte C, Monk C, Canino G, Posner J, Murray T, Lugo‐Candelas C, Dunlop A, Brennan P, Hockett C, Elliott A, Ferrara A, Croen L, Hedderson M, Ainsworth J, Bacharier L, Bendixsen C, Gern J, Gold D, Hartert T, Jackson D, Johnson C, Joseph C, Kattan M, Hershey G, Lemanske R, Lynch S, Miller R, O’Connor G, Ober C, Ownby D, Rivera‐Spoljaric K, Ryan P, Seroogy C, Singh A, Wood R, Zoratti E, Habre R, Farzan S, Gilliland F, Hertz‐Picciotto I, Bennett D, Schweitzer J, Schmidt R, LaSalle J, Hipwell A, Karr C, Bush N, LeWinn K, Sathyanarayana S, Zhao Q, Tylavsky F, Carroll K, Loftus C, Leve L, Ganiban J, Neiderhiser J, Weiss S, Litonjua A, McEvoy C, Spindel E, Tepper R, Newschaffer C, Lyall K, Volk H, Landa R, Ozonoff S, Piven J, Hazlett H, Pandey J, Schultz R, Dager S, Botteron K, Messinger D, Stone W, Ames J, O’Connor T, Miller R, Oken E, Hacker M, James‐Todd T, O’Shea T, Fry R, Frazier J, Singh R, Rollins C, Montgomery A, Vaidya R, Joseph R, Washburn L, Gogcu S, Bear K, Rollins J, Hooper S, Taylor G, Jackson W, Thompson A, Daniels J, Hernandez M, Lu K, Msall M, Lenski M, Obeid R, Pastyrnak S, Jensen E, Sakai C, Santos H, Kerver J, Paneth N, Barone C, Elliott M, Ruden D, Fussman C, Herbstman J, Margolis A, Schantz S, Geiger S, Aguiar A, Tabb K, Strakovsky R, Woodruff T, Morello‐Frosch R, Padula A, Stanford J, Porucznik C, Giardino A, Wright R, Wright R, Collett B, Baumann‐Blackmore N, Gangnon R, Jackson D, McKennan C, Wilson J, Altman M, Aschner J, Stroustrup A, Merhar S, Moore P, Pryhuber G, Hudak M, Lyndaker A, Lampland A, Rochelson B, Jan S, Blitz M, Katzow M, Brown Z, Chiuzan C, Rafael T, Lewis D, Meirowitz N, Poindexter B, Gebretsadik T, Osmundson S, Straughen J, Eapen A, Cassidy‐Bushrow A, Wegienka G, Sitarik A, Woodcroft K, Urquhart A, Levin A, Johnson‐Hooper T, Davidson B, Ma T, Barrett E, Blaser M, Dominguez‐Bello M, Horton D, Jimenez M, Rosen T, Palomares K, Avalos L, Zhu Y, Hunt K, Newman R, Bloom M, Alkis M, Roberts J, Mumford S, Burris H, DeMauro S, Yee L, Hamvas A, Olidipo A, Haddad A, Eiland L, Spillane N, Suri K, Fisher S, Goldstein J, Mithal L, DeRegnier R, Maitre N, Nguyen R, JaKa M, Sidebottom A, Paidas M, Potter J, Ruby N, Duthely L, Jayakumar A, Young K, Maldonado I, Miller M, Slaughter J, Keim S, Lynch C, Venkatesh K, Whitworth K, Symanski E, Northrup T, Mendez‐Figueroa H, Mosquera R, Karagas M, Madan J, MacKenzie D, Lewis J, Rennie B, Leventhal B, Kim Y, Bishop S, Nozadi S, Luo L, Lester B, Marsit C, Everson T, Loncar C, McGowan E, Sheinkopf S, Carter B, Check J, Helderman J, Neal C, Smith L. Socio‐ecological domains and adolescent mental health: An application of the dual‐factor model. Journal Of Research On Adolescence 2025, 35: e70029. PMID: 40400085, PMCID: PMC12095899, DOI: 10.1111/jora.70029.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdolescent HealthChildCross-Sectional StudiesFemaleHumansMaleMental DisordersMental HealthPeer GroupSocial EnvironmentConceptsMental health groupDual-factor modelMental healthHealth groupsDual-factor model of mental healthComprehensive assessment of mental healthAssessment of mental healthModel of mental healthChild health outcomesNon-Hispanic whitesPositive mental healthLatent profile analysisLatent regression analysesNo significant moderatorsMental health profilesAdolescent mental healthSocio-ecological domainsCross-sectional dataSocioecological domainsHealth outcomesHealth profileSignificant moderatorEnvironmental influencesHealthDual factorsPrivate Equity Among US Psychiatric Hospitals
Shields M, Yang Y, Busch S. Private Equity Among US Psychiatric Hospitals. JAMA Psychiatry 2025, 82: 701-708. PMID: 40397464, PMCID: PMC12096323, DOI: 10.1001/jamapsychiatry.2025.0689.Peer-Reviewed Original ResearchMeSH KeywordsCross-Sectional StudiesHospitals, PsychiatricHumansMedicareOwnershipPersonnel Staffing and SchedulingQuality of Health CareRestraint, PhysicalUnited StatesConceptsPsychiatric hospitalHospital staffingMeasures of case mixHealth care qualityNational quality measuresCross-sectional associationsInpatient psychiatric hospitalizationFreestanding psychiatric hospitalCross-sectional studyAverage length of stayRegistered nursesCare qualityStaffing ratiosHealth careLength of stayMain OutcomesPE ownershipPatient vulnerabilityCase-mixPatient daysAdjusted modelsLow staffPrivate equityStaffingHospitalAcoustic-based machine learning approaches for depression detection in Chinese university students
Wei Y, Qin S, Liu F, Liu R, Zhou Y, Chen Y, Xiong X, Zheng W, Ji G, Meng Y, Wang F, Zhang R. Acoustic-based machine learning approaches for depression detection in Chinese university students. Frontiers In Public Health 2025, 13: 1561332. PMID: 40443925, PMCID: PMC12119278, DOI: 10.3389/fpubh.2025.1561332.Peer-Reviewed Original ResearchMeSH KeywordsAcousticsAdultChinaCross-Sectional StudiesDepressionFemaleHumansMachine LearningMaleStudentsUniversitiesYoung AdultConceptsPatient Health Questionnaire-9Mel-frequency cepstral coefficientsLinear discriminant analysisMachine learning algorithmsAcoustic featuresLearning algorithmsIdentification of depressionMonitoring of depressionCross-sectional studyGlobal public health problemSHapley Additive exPlanationsDepression screeningSelf-report methodsPublic health problemIdentifying depressionLinear discriminant analysis modelDepression assessmentSupport vector classificationAutomated identificationMachine learning approachArea under the curveHealth problemsOpenSMILE toolkitLogistic regressionCepstral coefficientsIncreased sedentary behavior is associated with neurodegeneration and worse cognition in older adults over a 7‐year period despite high levels of physical activity
Gogniat M, Khan O, Li J, Park C, Robb W, Zhang P, Sun Y, Moore E, Houston M, Pechman K, Shashikumar N, Davis L, Liu D, Landman B, Cole K, Bolton C, Gifford K, Hohman T, Full K, Jefferson A. Increased sedentary behavior is associated with neurodegeneration and worse cognition in older adults over a 7‐year period despite high levels of physical activity. Alzheimer's & Dementia 2025, 21: e70157. PMID: 40357887, PMCID: PMC12070248, DOI: 10.1002/alz.70157.Peer-Reviewed Original ResearchConceptsSedentary behaviorSedentary timeOlder adultsLevels of physical activityAPOE-e4 carrier statusReduce sedentary timeBrain structuresIncreased sedentary behaviorAPOE-e4 statusRisk factorsModifiable risk factorsLongitudinal linear regressionAlzheimer's diseaseHippocampal volume reductionPhysical activityEffect modificationAPOE-e4E4 statusEpisodic memoryNeuropsychological assessmentApolipoprotein EWorse cognitionAging adultsGenetic riskCognitive changesCounty Incarceration Rate and Stroke Death: A Cross‐Sectional Study of the Influence of Physical Environment, Health Care Access, and Community Mental Distress
Sonderlund A, Wang E, Williams N, Horowitz C, Schoenthaler A, Holaday L. County Incarceration Rate and Stroke Death: A Cross‐Sectional Study of the Influence of Physical Environment, Health Care Access, and Community Mental Distress. Journal Of The American Heart Association 2025, 14: e039065. PMID: 40357666, PMCID: PMC12184567, DOI: 10.1161/jaha.124.039065.Peer-Reviewed Original ResearchConceptsPrimary care physiciansStroke deathsMental distressFood environmentImprisonment ratesRacial disparitiesPrimary care physician accessIncarceration ratesWhite populationHealth care accessMental health providersBlack populationCross-sectional designCross-sectional studyCare accessHealth providersCare physiciansPhysician accessAdjusted modelsTesting pathwayInfluence of physical environmentResults complement evidenceTest mediationDistressViolent crime[The mediating effect of electrocardiographic indicators in the association between exposure to fine particulate matter and its element constituents and blood pressure].
Wang Y, Zhang W, Liu Q, Ling H, Xiang C, Qiu Y, Chen C, Wang J, Fang J, Shi X. [The mediating effect of electrocardiographic indicators in the association between exposure to fine particulate matter and its element constituents and blood pressure]. Chinese Preventive Medicine 2025, 59: 621-627. PMID: 40374351, DOI: 10.3760/cma.j.cn112150-20241028-00852.Peer-Reviewed Original ResearchMeSH KeywordsAgedAir PollutantsBlood PressureChinaCross-Sectional StudiesElectrocardiographyEnvironmental ExposureFemaleHumansMaleMiddle AgedParticulate MatterConceptsExposure to PM<sub>2.5</sub>Short-term exposure to PM<sub>2.5</sub>Effects of short-term exposure to PM<sub>2.5</sub> anConcentrations of PM<sub>2.5</sub>Short-term exposure to fine particulate matterExposure to fine particulate matterFine particulate matterBeijing-Tianjin-Hebei regionElemental constituentsExposure to PbExposure to KParticulate matterDiastolic blood pressureZnMultivariate linear regressionSystolic blood pressureSeLinear regressionBlood pressureCross-sectional surveyExposurePbCOCuStudy periodGender-Affirming Surgery for Transgender and Gender Diverse Medicare Beneficiaries
Balkan E, Babbs G, Meyers D, Kelly P, Yee K, Pletta D, Shireman T, Alpert A, Baker K, Hughto J. Gender-Affirming Surgery for Transgender and Gender Diverse Medicare Beneficiaries. JAMA Network Open 2025, 8: e258072. PMID: 40310645, PMCID: PMC12046427, DOI: 10.1001/jamanetworkopen.2025.8072.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedCross-Sectional StudiesFemaleHumansMaleMedicareMiddle AgedTransgender PersonsUnited StatesConceptsGender-affirming surgeryTransgender individualsRates of chronic conditionsTransgenderBeneficiaries' useProportion of residentsRegional differencesDual statusBeneficiariesChronic conditionsDiverse beneficiariesBeneficiary characteristicsMedicare beneficiariesGenderCross-sectional studyMedicare entitlementGender-affirming surgical proceduresPropensity score matchingNational Medicare dataMedicare programMedicaidProportion of Medicare beneficiariesSouthSurgical proceduresDescriptive analysisMedicaid Costs and Outcomes for Patients Treated in an Outpatient Telepsychiatry Clinic
Havlik J, Ghomi R, An N, Budhiraja P, Arzubi E. Medicaid Costs and Outcomes for Patients Treated in an Outpatient Telepsychiatry Clinic. JAMA Network Open 2025, 8: e258558. PMID: 40323598, PMCID: PMC12053525, DOI: 10.1001/jamanetworkopen.2025.8558.Peer-Reviewed Original ResearchMeSH KeywordsAdultAmbulatory CareCross-Sectional StudiesFemaleHealth Care CostsHospitalizationHumansMaleMedicaidMental DisordersMiddle AgedTelemedicineUnited StatesConceptsTelepsychiatry clinicRate of admissionCross-sectional studyMedicaid costsEmergency departmentClinical servicesMedicaid patientsHospitalization ratesTelepsychiatry patientsEvidence of cost savingsReduce hospital admissionsInpatient hospitalization ratesClinic patientsAnnual hospitalization rateOutcomes associated with useTelepsychiatry carePropensity-matched controlsTimely carePsychiatric careMain OutcomesCare costsPMPM costsHospital readmissionInpatient hospitalizationTelepsychiatryMedical School Support of Students’ Professional and Personal Development by Sociodemographic Characteristics
Nguyen M, Mason H, Fancher T, Chaudhry S, Tran-Reina M, Havemann C, Venkataraman S, Webber A, Boatright D. Medical School Support of Students’ Professional and Personal Development by Sociodemographic Characteristics. JAMA Network Open 2025, 8: e2511063. PMID: 40377935, PMCID: PMC12084840, DOI: 10.1001/jamanetworkopen.2025.11063.Peer-Reviewed Original ResearchConceptsMedical school supportCross-sectional studyFamily incomeMedical graduatesNeighborhood statusMedical schoolsAssociation of family incomeSchool supportAge of respondentsMultivariate logistic regression modelLogistic regression modelsRetrospective cross-sectional studyPersonal developmentLow-income familiesSociodemographic characteristicsMain OutcomesProfessional identity formationLow-incomeProfessional developmentStudents' professional identity formationBlack studentsHousehold incomeStudy cohortRegression modelsAccreditation bodiesCauses of Death Among US Medical Residents
Yaghmour N, Bynum W, Hafferty F, Könings K, Richter T, Brigham T, Nasca T. Causes of Death Among US Medical Residents. JAMA Network Open 2025, 8: e259238. PMID: 40366660, PMCID: PMC12079293, DOI: 10.1001/jamanetworkopen.2025.9238.Peer-Reviewed Original ResearchMeSH KeywordsAdultCause of DeathCross-Sectional StudiesFemaleHumansInternship and ResidencyMaleSuicideUnited StatesConceptsResident deathsIncidence rate ratiosRate of deathCross-sectional studyGender-matched peersHighest death rateDeath rateTraining programCalculate incidence rate ratiosNational Death IndexTrainee well-beingFactors of distressPoisson regression modelsFellowship training programsAccidental poisoningACGME-accredited residenciesDeath IndexMain OutcomesMedical residentsRate ratiosCause of deathUS residentsGeneral populationSecondary outcomesNeoplastic diseaseSalary Differences by Gender, Race, and Ethnicity Among Assistant Professors at US Medical Schools
Owda D, Mensah M, Yang D, Canavan M, Gross C, Chaudhry S. Salary Differences by Gender, Race, and Ethnicity Among Assistant Professors at US Medical Schools. JAMA Network Open 2025, 8: e259583. PMID: 40366659, PMCID: PMC12079292, DOI: 10.1001/jamanetworkopen.2025.9583.Peer-Reviewed Original ResearchMeSH KeywordsAdultCross-Sectional StudiesEthnicityFaculty, MedicalFemaleHumansMaleRacial GroupsSalaries and Fringe BenefitsSchools, MedicalSex FactorsUnited StatesConceptsUS medical schoolsCross-sectional studyClinical specialtiesMedical schoolsWhite menMedian annual salaryWhite physiciansEthnic disparitiesMain OutcomesSalary ratioURiMSpecialtySalary inequitiesEthnicityWomenPhysiciansDisparitiesSalary disparitiesMenRaceGenderAnnual salarySalary dataSalary differencesAggregate data
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