Adjunct faculty typically have an academic or research appointment at another institution and contribute or collaborate with one or more School of Medicine faculty members or programs.
Adjunct rank detailsJohn Concato, MD, FACP, MS, MPH
Professor AdjunctAbout
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Titles
Professor Adjunct
Positions outside Yale
Associate Director, Office of Medical Policy, Center for Drug Evaluation & Research, Food and Drug Administration
Biography
Dr. Concato is Associate Director for Real-World Evidence Analytics in the Office of Medical Policy (OMP), Center for Drug Evaluation and Research (CDER), Food and Drug Administration (FDA). After conducting clinical research studies for more than 25 years as an independent investigator and research center director at Yale University & the Department of Veterans Affairs, he now develops, coordinates, and implements medical policy programs and strategic initiatives, with a focus on real-world evidence (RWE). These efforts include overseeing RWE guidance development and demonstration projects, as well as engaging external stakeholders and contributing to the review of RWE submissions, in support of the agency’s evaluation of RWE as mandated by the 21st Century Cures Act.
Appointments
General Internal Medicine
Professor AdjunctPrimary
Other Departments & Organizations
- All Institutions
- General Internal Medicine
- Internal Medicine
- Yale Ventures
Education & Training
- MPH
- Yale University, Public Health (1991)
- Fellow
- Yale University School of Medicine (1991)
- Resident
- New York University School of Medicine (1989)
- MD
- New York University (1985)
- MS
- New York University, Environmental Health (1981)
Research
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Overview
Medical Research Interests
ORCID
0000-0003-2846-0503
Research at a Glance
Yale Co-Authors
Publications Timeline
Research Interests
Mihaela Aslan, PhD
Hongyu Zhao, PhD
Joel Gelernter, MD
Renato Polimanti, PhD, MSc
Nallakkandi Rajeevan, PhD
Daniel F. Levey, PhD
Research Design
Prognosis
Publications
2025
Using real-world data to predict findings of an ongoing phase IV trial: glycemic control of semaglutide versus standard of care
Sreedhara S, Schneeweiss S, D’Andrea E, Weberpals J, DiCesare E, Patorno E, Tsacogianis T, Bradley M, Concato J, Wang S. Using real-world data to predict findings of an ongoing phase IV trial: glycemic control of semaglutide versus standard of care. BMJ Open Diabetes Research & Care 2025, 13: e005180. PMID: 41161770, PMCID: PMC12574359, DOI: 10.1136/bmjdrc-2025-005180.Peer-Reviewed Original ResearchAltmetricMeSH Keywords and ConceptsConceptsA1C <7% wGlycemic controlCohort of adultsDatabase studyRandomized Controlled TrialsNational claims databaseType 2 diabetes mellitusNon-randomized studiesSemaglutide initiationInjectable semaglutideEligibility criteriaRisk ratioControlled TrialsPrimary outcomeStudy protocolProportion of patientsWeekly semaglutideFit-for-purpose dataClaims databaseOptum ClinformaticsStandard of careSOC groupA1CPhase IV trialDiabetes mellitusEvidence Generation for Drugs and Biological Products isn't Magic or Myth
Concato J, Sacks L, Stein P, Corrigan‐Curay J. Evidence Generation for Drugs and Biological Products isn't Magic or Myth. Clinical Pharmacology & Therapeutics 2025, 118: 769-771. PMID: 40729471, DOI: 10.1002/cpt.3570.Peer-Reviewed Original ResearchAltmetricUnraveling the genetics of gulf war illness in diverse participants enrolled in the million veteran program
Pathak G, Koller D, Cabrera-Mendoza B, Djotsa A, Wendt F, De Lillo A, Friligkou E, He J, Kouakou M, Duong L, Vahey J, Steele L, Quaden R, Harrington K, Ahmed S, Gaziano J, Concato J, Zhao H, Radhakrishnan K, Gelernter J, Gifford E, Aslan M, Helmer D, Hauser E, Polimanti R, Program O. Unraveling the genetics of gulf war illness in diverse participants enrolled in the million veteran program. Human Molecular Genetics 2025, ddaf075. PMID: 40366759, DOI: 10.1093/hmg/ddaf075.Peer-Reviewed Original ResearchCitationsAltmetricConceptsPolygenic scoresGulf War IllnessGenome-wide dataDepression polygenic scoresPhenome-wide analysisDiverse ancestral backgroundsT2D polygenic scoreAssociated with higher oddsGulf War eraPolygenic architectureAncestral backgroundVeteran ProgramChronic conditionsHigher oddsType 2 diabetesGW veteransVeteransDisease pathogenesisDiverse participantsGulf WarOddsPhysical strengthIllnessComprehensive assessmentAnxietyUS Food and Drug Administration's Advancing Real‐World Evidence Program: Initial Experience
Smith K, Huang Y, Kehoe T, Kraus S, Levenson M, Li J, Miller K, Punnoose A, Rivera D, Zhao Y, Forshee R, Concato J. US Food and Drug Administration's Advancing Real‐World Evidence Program: Initial Experience. Clinical Pharmacology & Therapeutics 2025, 118: 545-547. PMID: 40287945, DOI: 10.1002/cpt.3700.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsReal‐World Evidence in New Drug and Biologics License Application Approvals During Fiscal Years 2020–2022
Innes G, Smith K, Kuzucan A, Li J, Rivera D, Panagiotou O, Concato J. Real‐World Evidence in New Drug and Biologics License Application Approvals During Fiscal Years 2020–2022. Clinical Pharmacology & Therapeutics 2025, 118: 85-89. PMID: 40276902, PMCID: PMC12167130, DOI: 10.1002/cpt.3688.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsReal-world dataRegulatory decision makingBiologics license application approvalMedical productsFiscal yearApplication approvalPrescription Drug User Fee ActRegulatory decisionsNew Drug ApplicationLicense applicationReal worldFood and Drug AdministrationApprovalAnnual reportsEvidence of effectivenessA Benchmark, Expand, and Calibration (BenchExCal) Trial Emulation Approach for Using Real‐World Evidence to Support Indication Expansions: Design and Process for a Planned Empirical Evaluation
Wang S, Russo M, Glynn R, Bradley M, He J, Concato J, Schneeweiss S. A Benchmark, Expand, and Calibration (BenchExCal) Trial Emulation Approach for Using Real‐World Evidence to Support Indication Expansions: Design and Process for a Planned Empirical Evaluation. Clinical Pharmacology & Therapeutics 2025, 117: 1820-1828. PMID: 40067205, PMCID: PMC12087693, DOI: 10.1002/cpt.3621.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsEmpirical evaluationData scenariosTrial emulationReal worldDatabase studyElectronic health record databaseIndication expansionHealth record databaseEmulationBenchmarksValidity of findingsCohort studyDecision-makingRecord databaseHypothetical trialReal-world evidenceEmpirical exampleRCT evidenceDrug safety studiesDatabaseEtiological researchHealthcare database studiesEffectiveness claimsResearch infrastructureInsurance claims
2024
Prescription Medication Use Among Older Adults in the US
Innes G, Ogden C, Crentsil V, Concato J, Fakhouri T. Prescription Medication Use Among Older Adults in the US. JAMA Internal Medicine 2024, 184: 1121-1123. PMID: 38949837, PMCID: PMC11217884, DOI: 10.1001/jamainternmed.2024.2781.Peer-Reviewed Original ResearchCitationsAltmetricUse of sensitivity analyses to assess uncontrolled confounding from unmeasured variables in observational, active comparator pharmacoepidemiologic studies: a systematic review
Latour C, Delgado M, Su I, Wiener C, Acheampong C, Poole C, Edwards J, Quinto K, Stürmer T, Lund J, Li J, Lopez N, Concato J, Funk M. Use of sensitivity analyses to assess uncontrolled confounding from unmeasured variables in observational, active comparator pharmacoepidemiologic studies: a systematic review. American Journal Of Epidemiology 2024, 194: 524-535. PMID: 39098826, PMCID: PMC12272854, DOI: 10.1093/aje/kwae234.Peer-Reviewed Original ResearchCitationsAltmetricConceptsUncontrolled confoundingEpidemiology journalsResidual confoundingSystematic reviewRobustness of studiesComparative cohort studyActive comparator cohort studyMedical journal articlesCohort studyConfoundingJournal articlesPharmacoepidemiological studiesSensitivity analysisPotential biasAssess robustnessMeasured variablesUnmeasured variablesPotential concernReview articleStudyJournalsVariablesQualitative Analysis of Inquiries Received by FDA Regarding Conduct of Clinical Trials during the Covid-19 Public Health Emergency
Kambere M, Vu H, Kappel D, Oh K, Budashewitz P, Concato J. Qualitative Analysis of Inquiries Received by FDA Regarding Conduct of Clinical Trials during the Covid-19 Public Health Emergency. Therapeutic Innovation & Regulatory Science 2024, 58: 987-995. PMID: 38913114, PMCID: PMC11335776, DOI: 10.1007/s43441-024-00674-x.Peer-Reviewed Original ResearchConceptsCOVID-19 public health emergencyPublic health emergencyFood and Drug AdministrationTrial participantsHealth emergencyClinical practice guidelinesAnalysis of inquirySafety of trial participantsClinical trialsTrial-related activityPractice guidelinesCOVID-19Industry trade associationsConduction of clinical trialsU.S. Food and Drug AdministrationClinical practiceInterested partiesTrade associationsPartiesMedical productsBackgroundThis reportRelated guidanceParticipantsQualitative methodsDrug AdministrationCorrelates of suicidal behaviors and genetic risk among United States veterans with schizophrenia or bipolar I disorder
Bigdeli T, Barr P, Rajeevan N, Graham D, Li Y, Meyers J, Gorman B, Peterson R, Sayward F, Radhakrishnan K, Natarajan S, Nielsen D, Wilkinson A, Malhotra A, Zhao H, Brophy M, Shi Y, O’Leary T, Gleason T, Przygodzki R, Pyarajan S, Muralidhar S, Gaziano J, Huang G, Concato J, Siever L, DeLisi L, Kimbrel N, Beckham J, Swann A, Kosten T, Fanous A, Aslan M, Harvey P. Correlates of suicidal behaviors and genetic risk among United States veterans with schizophrenia or bipolar I disorder. Molecular Psychiatry 2024, 29: 2399-2407. PMID: 38491344, DOI: 10.1038/s41380-024-02472-1.Peer-Reviewed Original ResearchCitationsAltmetricConceptsBipolar I disorderSuicidal behaviorElectronic health recordsPolygenic scoresVeterans Health AdministrationSelf-reported SBColumbia-Suicide Severity Rating ScaleBipolar I disorder patientsCorrelates of suicidal behaviorClasses of psychotropic medicationsSelf-injurious behaviorHealth recordsSeverity Rating ScaleDiagnosed mental illnessAssociated with clinical variablesElectronic health record codesEHR domainDepressive disorderC-SSRSLifetime diagnosisSubstance-relatedPsychotropic medicationsSuicidal ideationExternalizing behaviorsSuicide attempts
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