2025
1036 Scoring Actigraphy with and Without Sleep Diaries: A Comparison of Hierarchical Procedures Among Children with Sleep Problems
Baker C, Rech M, Qureshi F, Cifre A, Vieira A, Myers A, Kim J, Zhang Y, Alfano C. 1036 Scoring Actigraphy with and Without Sleep Diaries: A Comparison of Hierarchical Procedures Among Children with Sleep Problems. Sleep 2025, 48: a448-a448. DOI: 10.1093/sleep/zsaf090.1036.Peer-Reviewed Original ResearchRest interval lengthSleep problemsRates of sleep problemsSleep diary dataSleep diaryMeasures of sleep problemsStatistically significant interactionPopulation of childrenRest intervalDiary dataParent-report measuresMeasures ANOVAScoring approachScoring methodFoster careAged 7Assessment of sleepLack of consensusMeasure sleepStatistically significant difference
2024
Fellowship Accreditation: Experiences From Health Care Simulation Experts.
Musits A, Khan H, Cassara M, McKenna R, Penttila A, Ahmed R, Wong A. Fellowship Accreditation: Experiences From Health Care Simulation Experts. Journal Of Graduate Medical Education 2024, 16: 41-50. PMID: 38304604, PMCID: PMC10829926, DOI: 10.4300/jgme-d-23-00388.1.Peer-Reviewed Original ResearchConceptsSimulation leadersFellowship accreditationOne-on-one semistructured interviewsHealth care simulationImpact of accreditationProfessional societiesOpen coding techniqueThematic analysisWorkforce concernsQualitative studyStandardization of training programsTraining programSnowball samplingSimulation expertsFellowship programsAccreditation pathwaysLack of consensusAccreditation effortsSubthemesAccreditationPhenomenological frameworkParticipantsInterviewsSpectrum of opinionsFellowship
2023
Collecting patient-reported outcome measures in the electronic health record: Lessons from the NIH pragmatic trials Collaboratory
Zigler C, Adeyemi O, Boyd A, Braciszewski J, Cheville A, Cuthel A, Dailey D, Del Fiol G, Ezenwa M, Faurot K, Justice M, Ho P, Lawrence K, Marsolo K, Patil C, Paek H, Richesson R, Staman K, Schlaeger J, O'Brien E. Collecting patient-reported outcome measures in the electronic health record: Lessons from the NIH pragmatic trials Collaboratory. Contemporary Clinical Trials 2023, 137: 107426. PMID: 38160749, PMCID: PMC10922303, DOI: 10.1016/j.cct.2023.107426.Peer-Reviewed Original ResearchPatient-reported outcome measuresElectronic health recordsPragmatic clinical trialsOutcome measuresHealth recordsClinical trialsHealth system's electronic health recordPatient-reported outcome dataOutcome measure selectionLow-resource settingsSecondary outcomesOutcome dataResource settingsLack of consensusStudy teamTrialsSystem prioritiesRecordsCliniciansAdministrationMeasuresA framework for the definition and interpretation of the use of surrogate endpoints in interventional trials
Ciani O, Manyara A, Davies P, Stewart D, Weir C, Young A, Blazeby J, Butcher N, Bujkiewicz S, Chan A, Dawoud D, Offringa M, Ouwens M, Hróbjartssson A, Amstutz A, Bertolaccini L, Bruno V, Devane D, Faria C, Gilbert P, Harris R, Lassere M, Marinelli L, Markham S, Powers J, Rezaei Y, Richert L, Schwendicke F, Tereshchenko L, Thoma A, Turan A, Worrall A, Christensen R, Collins G, Ross J, Taylor R. A framework for the definition and interpretation of the use of surrogate endpoints in interventional trials. EClinicalMedicine 2023, 65: 102283. PMID: 37877001, PMCID: PMC10590868, DOI: 10.1016/j.eclinm.2023.102283.Peer-Reviewed Original ResearchSurrogate endpointsInterventional trialsIntermediate outcomesHealth technology assessment expertsPrimary outcome measureMeasures of functionTreatment effectsE-Delphi studyOutcome measuresConsensus meetingBetter HealthTarget outcomesTrialsEndpointLack of consensusOutcomesPatientsFuture reportingCurrent definitionUrgent needSymptomsCliniciansSettingBiomarkersNonsurgical management of early-stage endometrial cancer due to obesity: a survey of the practice patterns of current Society of Gynecologic Oncology members
Kailasam A, Cucinella G, Fought A, Cliby W, Mariani A, Glaser G, Langstraat C. Nonsurgical management of early-stage endometrial cancer due to obesity: a survey of the practice patterns of current Society of Gynecologic Oncology members. Gynecologic Oncology Reports 2023, 50: 101280. PMID: 37927533, PMCID: PMC10623145, DOI: 10.1016/j.gore.2023.101280.Peer-Reviewed Original ResearchSociety of Gynecologic OncologyClass 3 obesityManagement of endometrial cancerPractice typePractice patternsEndometrial cancerNonsurgical managementGynecologic oncologistsBMI cutoffsManagement of early-stage endometrial cancerClass 3 obese patientsEarly-stage endometrial cancerGeographic regionsPhysicians' opinionsProgesterone intrauterine deviceComplex atypical hyperplasiaComplex patientsFisher's exact testEvaluate trendsLack of consensusOnline surveyObesityAtypical hyperplasiaIntrauterine deviceNonsurgical approachCollect, Share, Act: A Transtheoretical Clinical Model for Doing Measurement-Based Care in Mental Health Treatment
Barber J, Resnick SG. Collect, Share, Act: A Transtheoretical Clinical Model for Doing Measurement-Based Care in Mental Health Treatment. Psychological Services 2023, 20: 150-157. PMID: 35201811, DOI: 10.1037/ser0000629.Peer-Reviewed Original ResearchConceptsMeasurement-based carePatient-reported outcome measuresLack of consensusGood clinical evidenceMental health treatmentMental health initiativesHealth care systemRecipients of careRoutine careClinical evidenceOutcome measuresHealth treatmentClinical modelHealth initiativesCare systemTreatment progressCareTreatment planningClinical processesPossible barriersGreater utilizationAmple evidenceGoal settingCliniciansSetting
2022
Mediating effect of pubertal stages on the family environment and neurodevelopment: An open-data replication and multiverse analysis of an ABCD Study®
Demidenko M, Kelly D, Hardi F, Ip K, Lee S, Becker H, Hong S, Thijssen S, Luciana M, Keating D. Mediating effect of pubertal stages on the family environment and neurodevelopment: An open-data replication and multiverse analysis of an ABCD Study®. Neuroimage Reports 2022, 2: 100133. PMID: 36561641, PMCID: PMC9770593, DOI: 10.1016/j.ynirp.2022.100133.Peer-Reviewed Original ResearchAdolescent Brain Cognitive DevelopmentAdolescent Brain Cognitive Development dataThijssen et al.Family environmentMultiverse analysisLatent factorsContext of individual differencesEffect of pubertal stageDirection of effectMeasure different aspectsBrain measuresIndividual differencesReplicate findingsBrain structuresInconsistent operationalizationCognitive developmentFamily conflictOperationalization of variablesMediation effectParental monitoringAlternative operationalizationsIndirect effectsBrainSubfactorsLack of consensusConsensus-Based Guidance on Opioid Management in Individuals With Advanced Cancer-Related Pain and Opioid Misuse or Use Disorder
Jones K, Khodyakov D, Arnold R, Bulls H, Dao E, Kapo J, Meier D, Paice J, Liebschutz J, Ritchie C, Merlin J. Consensus-Based Guidance on Opioid Management in Individuals With Advanced Cancer-Related Pain and Opioid Misuse or Use Disorder. JAMA Oncology 2022, 8: 1107-1114. PMID: 35771550, PMCID: PMC9247858, DOI: 10.1001/jamaoncol.2022.2191.Peer-Reviewed Original ResearchConceptsOpioid use disorderCancer-related painOpioid misuseUse disordersClinical scenariosUntreated opioid use disorderAddiction medicine specialistsCommon clinical scenariosDelphi panelImportant comorbidityAdvanced cancerPalliative careMAIN OUTCOMEMedicine specialistsAddiction specialistsPatientsLack of consensusPainAddiction cliniciansDisordersQualitative studyParticipantsComorbiditiesMisusePrognosis
2021
Which Maturation Indicator is Most Accurate in Predicting Cessation of Facial Growth? A Systematic Review of the Literature
Reategui A, Phillips S, Khetpal S, Parsaei Y, Funaro M, Mukherjee T, Lopez J, Steinbacher DM. Which Maturation Indicator is Most Accurate in Predicting Cessation of Facial Growth? A Systematic Review of the Literature. Journal Of Craniofacial Surgery 2021, 33: 764-768. PMID: 34611106, DOI: 10.1097/scs.0000000000008253.Peer-Reviewed Original ResearchConceptsSystematic reviewJoanna Briggs Institute Critical Appraisal ChecklistQuality of evidenceMeta-Analyses (PRISMA) guidelinesPreferred Reporting ItemsCritical Appraisal ChecklistGrowth maturationSkeletal maturity indicatorsCohort studyPediatric patientsSurgical timingProspective studySurgical interventionInclusion criteriaMenses onsetPaucity of articlesReporting ItemsAppraisal ChecklistSkeletal maturityPredictive indicatorSystematic searchGoogle ScholarLack of consensusFacial growth
2020
The state of clinical outcome assessments for cannabis use disorder clinical trials: A review and research agenda
Loflin MJE, Kiluk BD, Huestis MA, Aklin WM, Budney AJ, Carroll KM, D'Souza DC, Dworkin RH, Gray KM, Hasin DS, Lee DC, Le Foll B, Levin FR, Lile JA, Mason BJ, McRae-Clark AL, Montoya I, Peters EN, Ramey T, Turk DC, Vandrey R, Weiss RD, Strain EC. The state of clinical outcome assessments for cannabis use disorder clinical trials: A review and research agenda. Drug And Alcohol Dependence 2020, 212: 107993. PMID: 32360455, PMCID: PMC7293929, DOI: 10.1016/j.drugalcdep.2020.107993.Peer-Reviewed Original ResearchConceptsClinical outcome assessmentCannabis use disorderClinical trialsOutcome assessmentForms of cannabisCannabis-related harmsCannabis reductionPrimary outcomeFunctional outcomeInterpretation of outcomesClinical endpointsNew pharmacotherapiesPsychomotor impairmentOutcome measuresSelf-report assessmentsDiagnostic criteriaUse disordersOptimal durationCannabis useStudy designBiologic assaysTrialsOptimal outcomesLack of consensusCannabisEvaluation of confounding in epidemiologic studies assessing alcohol consumption on the risk of ischemic heart disease
Wallach JD, Serghiou S, Chu L, Egilman AC, Vasiliou V, Ross JS, Ioannidis JPA. Evaluation of confounding in epidemiologic studies assessing alcohol consumption on the risk of ischemic heart disease. BMC Medical Research Methodology 2020, 20: 64. PMID: 32171256, PMCID: PMC7071725, DOI: 10.1186/s12874-020-0914-6.Peer-Reviewed Original ResearchConceptsIschemic heart disease riskHeart disease riskObservational studyImpact of alcoholPotential confoundersHeart diseaseDisease riskMultivariate modelIschemic heart diseaseResidual confoundingDisease relationshipsEpidemiologic studiesAlcohol consumptionConfoundersMultivariate analysisLack of consensusIndividual studiesStratification variablesDiseaseRiskSame exposureConfoundingDifferent studiesStudy findingsDifferent investigators
2019
Endoscopic Sinus Surgery for Pediatric Patients
Fastenberg J, Weinstock M, Bent J. Endoscopic Sinus Surgery for Pediatric Patients. 2019, 227-239. DOI: 10.1007/978-3-030-22891-0_18.Peer-Reviewed Original ResearchEndoscopic sinus surgerySurgical interventionPediatric patientsSinus surgeryPediatric chronic rhinosinusitisConcurrent medical therapyChronic rhinosinusitisMedical therapyMedical managementPostoperative managementAcute conditionsSinus disordersSurgical paradigmRate of successPatientsEffective interventionsLack of consensusInterventionSurgeryMore investigationRhinosinusitisTherapyPhysicians Should Play a Role in Ensuring Safe Firearm Ownership
Holt SR, Rosenbaum J, Ellman M, Doolittle B, Tobin DG. Physicians Should Play a Role in Ensuring Safe Firearm Ownership. Journal Of General Internal Medicine 2019, 34: 1637-1640. PMID: 31062224, PMCID: PMC6667526, DOI: 10.1007/s11606-019-05034-2.Commentaries, Editorials and LettersChronic Endometritis: A Prevalent Yet Poorly Understood Entity [23H]
Margulies S, Flores V, Parkash V, Pal L. Chronic Endometritis: A Prevalent Yet Poorly Understood Entity [23H]. Obstetrics And Gynecology 2019, 133: 90s-90s. DOI: 10.1097/01.aog.0000558762.97122.17.Peer-Reviewed Original ResearchChronic endometritisOB/GYNsHistological criteriaProviders' understandingProspective observational studyStandard of careObstetrician/gynecologistsAnonymous electronic surveyInfectious etiologyClinical presentationGynecologic conditionsObservational studyDiagnostic criteriaInfectious agentsAntimicrobial treatmentPatient careClinical implicationsPathophysiologyLack of consensusPathologistsElectronic surveyTreatmentGYNsCareTask ForceDevelopment and validation of a haematuria cancer risk score to identify patients at risk of harbouring cancer
Tan W, Ahmad A, Feber A, Mostafid H, Cresswell J, Fankhauser C, Waisbrod S, Hermanns T, Sasieni P, Kelly J, Khetrapal P, Baker H, Sridhar A, Lamb B, Ocampo F, McBain H, Baillie K, Middleton K, Watson D, Knight H, Maher S, Rane A, Pathmanathan B, Harmathova A, Hellawell G, Pelluri S, Pati J, Cossons A, Scott C, Madaan S, Bradfield S, Wakeford N, Dann A, Cook J, Cornwell M, Mills R, Thomas S, Reyner S, Vallejera G, Adeniran P, Masood S, Whotton N, Dent K, Pearson S, Hatton J, Newton M, Heeney E, Green K, Evans S, Rogers M, Gupwell K, Whiteley S, Brown A, McGrath J, Lunt N, Hill P, Sinclair A, Paredes‐Guerra A, Holbrook B, Ong E, Wardle H, Wilson D, Bayles A, Fennelly R, Tribbeck M, Ames K, Davies M, Taylor J, Edmunds E, Moore J, Mckinley S, Nolan T, Speed A, Tunnicliff A, Fossey G, Williams A, George M, Hutchins I, Einosas R, Richards A, Henderson A, Appleby B, Kehoe L, Gladwell L, Drakeley S, Davies J, Krishnan R, Roberts H, Main C, Jain S, Dumville J, Wilkinson N, Taylor J, Thomas F, Goulden K, Vinod C, Green E, Waymont C, Rogers J, Grant A, Carter V, Heap H, Lomas C, Cooke P, Scarratt L, Hodgkiss T, Johnstone D, Johnson J, Allsop J, Rothwell J, Connolly K, Cherian J, Ridgway S, Coulding M, Savill H, Mccormick J, Clark M, Collins G, Jewers K, Keith S, Bowen G, Hargreaves J, Riley K, Srirangam S, Rees A, Williams S, Dukes S, Goffe A, Dawson L, Mistry R, Chadwick J, Cocks S, Hull R, Loftus A, Baird Y, Moore S, Greenslade S, Margalef J, Chadbourn I, Harris M, Hicks J, Clitheroe P, Connolly S, Hodgkinson S, Haydock H, Sinclair A, Storr E, Cogley L, Natale S, Lovegrove W, Slack K, Nash D, Smith K, Walsh J, Guerdette A, Hill M, Payne D, Taylor B, Sinclair E, Perry M, Debbarma M, Hewitt D, Sriram R, Power A, Cannon J, Devereaux L, Thompson A, Atkinson K, Royle L, Madine J, MacLean K, Sarpong R, Brew‐Graves C, Williams N. Development and validation of a haematuria cancer risk score to identify patients at risk of harbouring cancer. Journal Of Internal Medicine 2019, 285: 436-445. PMID: 30521125, PMCID: PMC6446724, DOI: 10.1111/joim.12868.Peer-Reviewed Original ResearchConceptsCancer risk scoreNational Institute for Health and Clinical Excellence guidelinesRisk scoreInvestigation of haematuriaPhysician decision-makingAge-specific thresholdsValidation cohortExcellence guidelinesUK hospitalsAmerican Urological Association guidelinesNational guidelinesImprove patientNo significant overfittingImprove patient selectionUpper tract cancerLack of consensusAssociation guidelinesSmoking historySwiss patientsCohortPatient ageDevelopment cohortPatient selectionGuidelinesHaematuriaChapter 14 Addressing controversies surrounding food addiction
Mestre-Bach G, Jiménez-Murcia S, Fernández-Aranda F, Potenza M. Chapter 14 Addressing controversies surrounding food addiction. 2019, 419-448. DOI: 10.1016/b978-0-12-816207-1.00014-7.Chapters
2018
Control freaks: Towards optimal selection of control conditions for fMRI neurofeedback studies
Sorger B, Scharnowski F, Linden DEJ, Hampson M, Young KD. Control freaks: Towards optimal selection of control conditions for fMRI neurofeedback studies. NeuroImage 2018, 186: 256-265. PMID: 30423429, PMCID: PMC6338498, DOI: 10.1016/j.neuroimage.2018.11.004.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsExtraskeletal versus Skeletal Ewing Sarcoma in the adult population: Controversies in care
Lynch AD, Gani F, Meyer CF, Morris CD, Ahuja N, Johnston FM. Extraskeletal versus Skeletal Ewing Sarcoma in the adult population: Controversies in care. Surgical Oncology 2018, 27: 373-379. PMID: 30217290, DOI: 10.1016/j.suronc.2018.05.016.Peer-Reviewed Original ResearchConceptsExtraskeletal Ewing's sarcomaCharlson-Deyo scoreOverall survivalTriple therapyCombination therapyLocal therapyEwing's sarcomaProportional hazards regression analysisHazards regression analysisSkeletal Ewing sarcomaEwing's sarcoma patientsAdult patientsIndependent predictorsEE patientsSarcoma patientsRisk factorsTreatment characteristicsSmall tumorsOutcome differencesPatientsTherapyAdult populationLack of consensusChemotherapyRegression analysisWho Should Be Investigated for Haematuria? Results of a Contemporary Prospective Observational Study of 3556 Patients
Tan W, Feber A, Sarpong R, Khetrapal P, Rodney S, Jalil R, Mostafid H, Cresswell J, Hicks J, Rane A, Henderson A, Watson D, Cherian J, Williams N, Brew-Graves C, Kelly J, collaborators O. Who Should Be Investigated for Haematuria? Results of a Contemporary Prospective Observational Study of 3556 Patients. European Urology 2018, 74: 10-14. PMID: 29653885, DOI: 10.1016/j.eururo.2018.03.008.Peer-Reviewed Original ResearchConceptsUrinary tract cancerIncidence of urinary tract cancerInvestigation of haematuriaRisk of urinary tract cancerClinically significant cancerDiagnosis of urinary tract cancerHigh-risk cancerProspective observational studyIncidence of cancerSignificant cancerAge thresholdBladder cancerSmoking historyVisible bloodOlder patientsHaematuriaMale genderConsensus recommendationsPatientsObservational studyCancerPatient preferencesCancer diagnosisLack of consensusAge
2017
Cognitive Training in the Elderly: Bottlenecks and New Avenues
Zokaei N, MacKellar C, Čepukaitytė G, Patai E, Nobre A. Cognitive Training in the Elderly: Bottlenecks and New Avenues. Journal Of Cognitive Neuroscience 2017, 29: 1473-1482. PMID: 27897677, DOI: 10.1162/jocn_a_01080.Peer-Reviewed Original ResearchConceptsCognitive functionCognitive trainingComputer-based cognitive trainingTargeting specific cognitive functionsSpecific cognitive functionsComprehensive assessment protocolReverse cognitive declineComputer-based interventionsSensitive batteryCognitive rehabilitationCognitive declineIndividual's abilityHealthy agingAssessment protocolTraining interventionDevelopment of measuresSpecific patternsTraining regimensCognitionBudding fieldInterventionDeficitsLack of consensusElderly population
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