2025
Consensus Guideline for the Management of Peritoneal Mesothelioma
Brown L, Wilkins S, Bansal V, Su D, Gomez-Mayorga J, Turaga K, Gunderson C, Lee B, Nash G, Hays J, Raghav K, Husain A, Kluger M, Zauderer M, Kindler H, Alexander H. Consensus Guideline for the Management of Peritoneal Mesothelioma. Annals Of Surgical Oncology 2025, 1-17. PMID: 40560500, DOI: 10.1245/s10434-025-17358-x.Peer-Reviewed Original ResearchPeritoneal mesotheliomaConsensus guidelinesManagement of peritoneal mesotheliomaAssessment of patient characteristicsHigh-risk patientsClinical trial enrollmentPresence of symptomsDisease histologyIntermediate-riskMultimodal therapyMalignant pathologyClinicopathological featuresBenign neoplasmsSurgical interventionRare incidenceClinical evidencePatient characteristicsPathway blockTrial enrollmentHigh riskMultidisciplinary assessmentTherapy timeLimited evidenceMesotheliomaClinical carePublic Health Implications of Legal Challenges to the FDA’s Regulation of Laboratory-Developed Tests
Kadakia K, Ross J, Ramachandran R. Public Health Implications of Legal Challenges to the FDA’s Regulation of Laboratory-Developed Tests. JAMA Health Forum 2025, 6: e252233. PMID: 40540283, DOI: 10.1001/jamahealthforum.2025.2233.Peer-Reviewed Original ResearchConceptsLaboratory-developed testsFood and Drug AdministrationPublic health implicationsEastern District of TexasSupreme Court's recent decisionAssociation of Molecular PathologyCourt's recent decisionUS District CourtClinical evidence of safetyRegulate laboratory-developed testsFood and Drug Administration regulationsUS Food and Drug AdministrationPublic health concernPublic health emergencyMedical Devices AuthorityChevron doctrineDistrict CourtAgency interpretationsClinical careHealth technologiesImplementing statutesComplex molecular testsLegal challengesAmendment ActRegulatory remitGenetics and family history in a diverse cohort of females with early-onset breast cancer.
Shroff T, Proussaloglou E, Namboodiri A, Gross L, Gong G, Wei W, Giri V. Genetics and family history in a diverse cohort of females with early-onset breast cancer. Journal Of Clinical Oncology 2025, 43: 10613-10613. DOI: 10.1200/jco.2025.43.16_suppl.10613.Peer-Reviewed Original ResearchEarly-onset breast cancerFamily historyGenetic testingEarly-onset breast cancer riskFamily history of breast cancerClinical careFamily history of cancerHistory of breast cancerFamily history of breastDiverse cohortBreast cancerCancer genetics programPrevalence of pathogenic/likely pathogenic variantsWhite patientsGermline genetic testingDiverse racial/ethnic populationsGenetic test resultsComprehensive cancer centerBreast cancer susceptibility genesElectronic medical recordsCancer predisposition genesAshkenazi Jewish ancestryDiverse patient populationsCancer susceptibility genesDiverse cohort of patientsProspective decision impact study of the Breast Cancer Index: Results from the BCI Registry study.
Sanft T, Siuliukina N, O'Neal B, Anderson A, Jankowitz R, Pegram M, Diab S, Zhang Y, Treuner K, O'Shaughnessy J. Prospective decision impact study of the Breast Cancer Index: Results from the BCI Registry study. Journal Of Clinical Oncology 2025, 43: 531-531. DOI: 10.1200/jco.2025.43.16_suppl.531.Peer-Reviewed Original ResearchPercentage of physiciansBreast Cancer IndexPhysician confidenceRegistry studyPatient preferencesTest questionnaireEndocrine therapyReduce patient concernsPhysician decision-makingEarly-stage breast cancerQuality of lifeClinical decision-makingCancer indexPhysician recommendationWilcoxon signed rank testLikelihood of benefitPatient concernsClinical careBenefit of endocrine therapyBreast cancer patientsLong-term clinical outcomesDrug safetyDecision impact studyEndocrine therapy benefitLate distant recurrenceThe Case for Structured Data in Developmental-Behavioral Pediatrics: Project STANDARD (Structured Approach to Neurodevelopmental Care and Clinical Research Data).
Barbaresi W, Bannett Y, Blum N, Chong S, Clark J, Dall M, Epstein J, Fellinger J, Froehlich T, Hofer J, Holzinger D, Huang P, Kang Y, Aishworiya R, Reilly M, Reynolds A, Roberts G, Sideridis G, Swain D, Weitzman C. The Case for Structured Data in Developmental-Behavioral Pediatrics: Project STANDARD (Structured Approach to Neurodevelopmental Care and Clinical Research Data). Journal Of Developmental And Behavioral Pediatrics 2025 PMID: 40439618, DOI: 10.1097/dbp.0000000000001376.Peer-Reviewed Original ResearchAttention-deficit hyperactivity disorderAutism spectrum disorderEvidence-based treatmentsClinical documentationDocumentation of careHyperactivity disorderDevelopmental-behavioral pediatricsBehavior problemsSpectrum disorderLongitudinal clinical research studiesClinical research studiesDevelopmental-BehavioralClinical careQuality improvementMeasured outcomesDisordersInpatient care experiences are better in critical access hospitals than in other hospitals
Beckett M, Cohea C, Cleary P, Giordano L, Elliott M. Inpatient care experiences are better in critical access hospitals than in other hospitals. Health Affairs Scholar 2025, 3: qxaf090. PMID: 40406495, PMCID: PMC12096449, DOI: 10.1093/haschl/qxaf090.Peer-Reviewed Original ResearchInpatient prospective payment systemsSelf-rated healthInpatient care experienceQuality-improvement effortsLinear mixed-effects regression modelsAssessment of hospitalMixed-effects regression modelsProspective payment systemCare experiencesPatient experienceConsumer AssessmentHospital choiceHospital characteristicsDischarge informationStaff responsesFor-profitTeaching statusSurvey scoresClinical carePositive experiencesEducational attainmentService linesHospitalRegression modelsPayment systemIntersectional Considerations for Clinical Care of Asian American Pacific Islander LGBTQ + Youth
Zhong J, Benhayoun A, Bakhit R, Cui Z, Li A, Chen D, Quon J, Yuen E. Intersectional Considerations for Clinical Care of Asian American Pacific Islander LGBTQ + Youth. Current Pediatrics Reports 2025, 13: 10. DOI: 10.1007/s40124-025-00345-x.Peer-Reviewed Original ResearchFamily-centered interventionsEvidence-based approachMental healthSocial supportClinical careCultural sensitivityInterpersonal discriminationClinician awarenessFace complex challengesClinical settingPacific IslandersIntersectional identitiesStructural oppressionInternalized oppressionIntersectional considerationsYouth faceLGBTQYoung peopleInterventionIntersectional stressYouthCultural identityClinical considerationsInclusive spacesOppressionEvidence-based personalised medicine in critical care: a framework for quantifying and applying individualised treatment effects in patients who are critically ill
Munroe E, Spicer A, Castellvi-Font A, Zalucky A, Dianti J, Linck E, Talisa V, Urner M, Angus D, Baedorf-Kassis E, Blette B, Bos L, Buell K, Casey J, Calfee C, Del Sorbo L, Estenssoro E, Ferguson N, Giblon R, Granholm A, Harhay M, Heath A, Hodgson C, Houle T, Jiang C, Kramer L, Lawler P, Leligdowicz A, Li F, Liu K, Maiga A, Maslove D, McArthur C, McAuley D, Neto A, Oosthuysen C, Perner A, Prescott H, Rochwerg B, Sahetya S, Samoilenko M, Schnitzer M, Seitz K, Shah F, Shankar-Hari M, Sinha P, Slutsky A, Qian E, Webb S, Young P, Zampieri F, Zarychanski R, Fan E, Semler M, Churpek M, Goligher E, investigators P, Group E. Evidence-based personalised medicine in critical care: a framework for quantifying and applying individualised treatment effects in patients who are critically ill. The Lancet Respiratory Medicine 2025, 13: 556-568. PMID: 40250459, DOI: 10.1016/s2213-2600(25)00054-2.Peer-Reviewed Original ResearchConceptsAverage treatment effectCritical careHeterogeneity of treatment effectsTreatment decisionsTreatment effectsCritical care syndromesResponse to treatmentClinical careRandomised clinical trialsCareRandomised trialsEffects of treatmentTreatment responseClinical trialsAggregate differencesPatientsOutcomesPersonalised medicineTreatmentEffect ITrialsAccounting for Healthcare Structures When Measuring Variation in Care
Colquhoun D, Janda A, Mentz G, Fisher C, Schonberger R, Shah N, Kheterpal S, Mathis M. Accounting for Healthcare Structures When Measuring Variation in Care. Anesthesiology 2025, 142: 793-805. PMID: 40197451, PMCID: PMC11981012, DOI: 10.1097/aln.0000000000005395.Peer-Reviewed Original ResearchConceptsHealthcare structuresOutcomes of clinical careFeatures of health systemsHealth services researchStructured healthcare systemHealth systemServices researchHealthcare systemClinical careQuality improvementOutcomes researchCarePatient outcomesAssessment of varianceClinical practiceInclusion of explanatory variablesHealthcareMixed-effects statistical modelOutcomesCliniciansPatientsPracticeHealthExplanatory variablesHospitalHarnessing Artificial Intelligence for Innovation in Interventional Cardiovascular Care
Aminorroaya A, Biswas D, Pedroso A, Khera R. Harnessing Artificial Intelligence for Innovation in Interventional Cardiovascular Care. Journal Of The Society For Cardiovascular Angiography & Interventions 2025, 4: 102562. PMID: 40230673, PMCID: PMC11993883, DOI: 10.1016/j.jscai.2025.102562.Peer-Reviewed Original ResearchClinical careCommunity-based screening programCare quality outcomesPatient outcomesPatient-focused careHarness artificial intelligenceArtificial intelligencePotential of AIImprove patient outcomesIndividualized clinical careTransform careTransform clinical practiceCardiovascular careScreening programHealth dataQuality outcomesCareClinical workflowClinical tasksAcute coronary syndromeClinical practiceHeart diseaseAI-driven technologiesInterventionAI-enabledCurrent interpretations of the I-PACE model of behavioral addictions
Brand M, Müller A, Wegmann E, Antons S, Brandtner A, Müller S, Stark R, Steins-Loeber S, Potenza M. Current interpretations of the I-PACE model of behavioral addictions. Journal Of Behavioral Addictions 2025, 14: 1-17. PMID: 40063161, PMCID: PMC11974429, DOI: 10.1556/2006.2025.00020.Peer-Reviewed Original ResearchConceptsI-PACE modelI-PACEBehavioral addictionsInteraction of Person-Affect-Cognition-ExecutionBehavioral addiction researchCue-reactivityDesire thinkingCompulsive behaviorsExecutive functionAddictive behaviorsNegative reinforcementAddiction researchPermissive beliefsAddiction theoryAddiction fieldSelf-controlAddictionCravingEmpirical findingsTheory buildingClinical careStimulate researchGratificationBehaviorContext of changesContinuity of pain clinic care among rural and urban veterans
Hadlandsmyth K, Courtney R, Adamowicz J, Driscoll M, Murphy J, Lund B. Continuity of pain clinic care among rural and urban veterans. The Journal Of Rural Health 2025, 41: e70031. PMID: 40346745, PMCID: PMC12064865, DOI: 10.1111/jrh.70031.Peer-Reviewed Original ResearchConceptsPain clinic visitVeterans Health AdministrationUrban veteransClinic visitsPsychology visitsRural veteransClinical careNational VHA administrative dataVHA administrative dataCohort of veteransPain clinic servicesTeam careMultivariate regression modelRural/urban differencesHealth AdministrationClinical servicesAdministrative dataContext of increasing accessFollow-up visitVeteransDemographic characteristicsCareVisitsRegression modelsPsychiatric comorbidityAdvancements in the Diagnosis, Treatment, and Risk Stratification of Non-Muscle Invasive Bladder Cancer
Smani S, DuBois J, Zhao K, Sutherland R, Rahman S, Humphrey P, Hesse D, Tan W, Martin D, Lokeshwar S, Ghali F. Advancements in the Diagnosis, Treatment, and Risk Stratification of Non-Muscle Invasive Bladder Cancer. Current Oncology Reports 2025, 27: 236-246. PMID: 39976835, DOI: 10.1007/s11912-025-01645-7.Peer-Reviewed Original ResearchNon-muscle invasive bladder cancerInvasive bladder cancerBladder cancerRisk stratificationBCG-unresponsive NMIBCEarly radical cystectomyTERT promoter mutationsHigh-risk casesLong-term outcomesNadofaragene firadenovecIntravesical therapyTransurethral resectionRadical cystectomyTreatment paradigmStratified careReduce overtreatmentProgression riskIntegration of biomarkersPromoter mutationsClinical trialsTherapeutic strategiesReviewThis reviewPersonalized treatmentAdverse effectsClinical careUtility of Candidate Genes From an Algorithm Designed to Predict Genetic Risk for Opioid Use Disorder
Davis C, Jinwala Z, Hatoum A, Toikumo S, Agrawal A, Rentsch C, Edenberg H, Baurley J, Hartwell E, Crist R, Gray J, Justice A, Gelernter J, Kember R, Kranzler H, Muralidhar S, Moser J, Deen J, Tsao P, Gaziano J, Hauser E, Kilbourne A, Matheny M, Oslin D, Churby L, Whitbourne S, Brewer J, Shayan S, Selva L, Pyarajan S, Cho K, DuVall S, Brophy M, Stephens B, Connor T, Argyres D, Assimes T, Hung A, Kranzler H, Aguayo S, Ahuja S, Alexander K, Androulakis X, Balasubramanian P, Ballas Z, Beckham J, Bhushan S, Boyko E, Cohen D, Dellitalia L, Faulk L, Fayad J, Fujii D, Gappy S, Gesek F, Greco J, Godschalk M, Gress T, Gupta S, Gutierrez S, Harley J, Hamner M, Hurley R, Iruvanti P, Jacono F, Jhala D, Kinlay S, Landry M, Liang P, Liangpunsakul S, Lichy J, Mahan C, Marrache R, Mastorides S, Mattocks K, Meyer P, Moorman J, Morgan T, Murdoch M, Norton J, Okusaga O, Oursler K, Poon S, Rauchman M, Servatius R, Sharma S, Smith R, Sriram P, Strollo P, Tandon N, Villareal G, Walsh J, Wells J, Whittle J, Whooley M, Wilson P, Xu J, Yeh S, Bast E, Dryden G, Hogan D, Joshi S, Lo T, Morales P, Naik E, Ong M, Petrakis I, Rai A, Yen A. Utility of Candidate Genes From an Algorithm Designed to Predict Genetic Risk for Opioid Use Disorder. JAMA Network Open 2025, 8: e2453913. PMID: 39786773, PMCID: PMC11718552, DOI: 10.1001/jamanetworkopen.2024.53913.Peer-Reviewed Original ResearchConceptsOpioid use disorder riskElectronic health record dataHealth record dataInternational Classification of DiseasesOpioid use disorderClassification of DiseasesGenetic variantsInternational ClassificationGenetic riskRecord dataRisk of opioid use disorderMillion Veteran ProgramOpioid use disorder diagnosisUse disorderCase-control studyVeteran ProgramMain OutcomesDiagnostic codesClinical careOpioid exposurePharmacy recordsLogistic regressionRisk allelesNagelkerke R2Clinically useful model
2024
COMPARING HEALTH SYSTEM–BASED AND COMMUNITY-BASED DEMENTIA CARE: THE DEMENTIA CARE (D-CARE) STUDY
Reuben D, Summapund J, Stevens A, Gill T, Peduzzi P, Galloway R, Carnie M. COMPARING HEALTH SYSTEM–BASED AND COMMUNITY-BASED DEMENTIA CARE: THE DEMENTIA CARE (D-CARE) STUDY. Innovation In Aging 2024, 8: 451-451. PMCID: PMC11688750, DOI: 10.1093/geroni/igae098.1466.Peer-Reviewed Original ResearchContinuous engagement of patientsD-CARECommunity-based participatory researchDementia care approachClinical trial sitesEngagement of patientsComparative effectiveness researchPragmatic randomized trialHealth care systemCommunity-based organizationsTreatment of dementiaDementia careUsual careNurse practitionersPhysician assistantsCare approachComprehensive careCare systemCommunity-basedParticipatory researchClinical careResearch staffPragmatic designCareClinical positionsSingle-Cell Analysis in Cerebrovascular Research: Primed for Breakthroughs and Clinical Impact
Albertson A, Winkler E, Yang A, Buckwalter M, Dingman A, Fan H, Herson P, McCullough L, Perez-Pinzon M, Sansing L, Sun D, Alkayed N. Single-Cell Analysis in Cerebrovascular Research: Primed for Breakthroughs and Clinical Impact. Stroke 2024, 56: 1082-1091. PMID: 39772596, PMCID: PMC11932790, DOI: 10.1161/strokeaha.124.049001.Peer-Reviewed Original ResearchEfficacy of antiobesity medications for weight reduction in older adults: a systematic review
Chen A, Hajduk A, Grimshaw A, Fried T, Jastreboff A, Lipska K. Efficacy of antiobesity medications for weight reduction in older adults: a systematic review. Obesity 2024 PMID: 39725567, PMCID: PMC12198421, DOI: 10.1002/oby.24160.Peer-Reviewed Original ResearchOlder adultsAntiobesity medicationsStudy of older adultsOlder adults ageAdult ageCardiovascular diseaseRisk of biasAdverse events associated with useWeight reductionStatistically significant weight reductionFood and Drug AdministrationClinical careSystematic reviewInclusion criteriaLimited evidenceBaseline weightPlacebo groupObservational studySeven medicationsAdverse eventsAdultsDrug AdministrationEvaluation studiesMedicationSignificant weight reductionA Yale Dermatology perspective on cutaneous T cell lymphoma: Historic reflection to emerging therapies
Swallow M, Edelson R, Girardi M. A Yale Dermatology perspective on cutaneous T cell lymphoma: Historic reflection to emerging therapies. Clinics In Dermatology 2024, 43: 170-176. PMID: 39694197, DOI: 10.1016/j.clindermatol.2024.12.006.Peer-Reviewed Original ResearchCutaneous T-cell lymphomaT-cell lymphomaMycosis fungoidesSubtype of cutaneous T-cell lymphomaPathogenesis of cutaneous T-cell lymphomaNon-Hodgkin's lymphomaEvolving treatment landscapeSezary syndromeHistological variantsTreatment landscapeLymph nodesSchool of MedicineLymphomaYale School of MedicineFungoidesClinical careMalignancyLymphMycosisSyndromeSubtypesPathogenesisPrehospital Trauma Compendium: Fluid Resuscitation in Trauma – a Position Statement and Resource Document of NAEMSP
McMullan J, Curry B, Calhoun D, Forde F, Gray J, Lardaro T, Larrimore A, LeBlanc D, Li J, Morgan S, Neth M, Sams W, Lyng J. Prehospital Trauma Compendium: Fluid Resuscitation in Trauma – a Position Statement and Resource Document of NAEMSP. Prehospital Emergency Care 2024, ahead-of-print: 1-11. PMID: 39576138, DOI: 10.1080/10903127.2024.2433146.Peer-Reviewed Original ResearchEmergency medical servicesPrehospital trauma careTraumatic brain injuryTrauma carePrehospital trauma managementFluid usePrehospital providersIV fluidsVolume crystalloid resuscitationMedical servicesClinical careCrystalloid solutionTrauma resuscitationPosition statementCareWithholding fluidsBlood product administrationIndividual riskPolytrauma patientsTrauma managementMedical compatibilityIsotonic crystalloid solutionsResuscitationFluid resuscitationCrystalloid resuscitationFrailty integration in medical specialties: Current evidence and suggested strategies from the Clin‐STAR frailty interest group
Singh N, Faye A, Abidi M, Grant S, DuMontier C, Iyer A, Jain N, Kochar B, Lieber S, Litke R, Loewenthal J, Masters M, Nanna M, Robison R, Sattui S, Sheshadri A, Shi S, Sherman A, Walston J, Wysham K, Orkaby A. Frailty integration in medical specialties: Current evidence and suggested strategies from the Clin‐STAR frailty interest group. Journal Of The American Geriatrics Society 2024, 73: 1029-1040. PMID: 39584362, PMCID: PMC11971025, DOI: 10.1111/jgs.19268.Peer-Reviewed Original Research
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