2025
Comparison of prognostic accuracy of HCC staging systems in patients undergoing TACE
Kasolowsky V, Gross M, Madoff D, Duncan J, Taddei T, Strazzabosco M, Jaffe A, Chapiro J. Comparison of prognostic accuracy of HCC staging systems in patients undergoing TACE. Clinical Imaging 2025, 120: 110438. PMID: 40049074, DOI: 10.1016/j.clinimag.2025.110438.Peer-Reviewed Original ResearchConceptsOverall survival of patientsBCLC staging systemTransarterial chemoembolizationOverall survivalStaging systemHepatocellular carcinomaStaging systems of hepatocellular carcinomaHepatocellular carcinoma staging systemsRetrospective single center studyKaplan Meier survival analysisInternational Staging SystemSingle center studyLog-rank testTertiary care centerPredicting overall survivalMeier survival analysisConsecutive patientsPrognostic stratificationStudy endpointPrognostic accuracyCenter studyPrognostic powerStratify outcomesMultivariate analysisPatientsCorrigendum: Combining Charlson comorbidity and VACS indices improves prognostic accuracy for all-cause mortality for patients with and without HIV in the Veterans Health Administration
McGinnis K, Justice A, Marconi V, Rodriguez-Barradas M, Hauser R, Oursler K, Brown S, Bryant K, Tate J. Corrigendum: Combining Charlson comorbidity and VACS indices improves prognostic accuracy for all-cause mortality for patients with and without HIV in the Veterans Health Administration. Frontiers In Medicine 2025, 11: 1532350. PMID: 39845833, PMCID: PMC11750659, DOI: 10.3389/fmed.2024.1532350.Peer-Reviewed Original Research
2024
Keratin 17 and A2ML1 are negative prognostic biomarkers in non-small cell lung cancer
Babu S, Horowitz M, Delgado-Coka L, Roa-Peña L, Akalin A, Escobar-Hoyos L, Shroyer K. Keratin 17 and A2ML1 are negative prognostic biomarkers in non-small cell lung cancer. Pathology - Research And Practice 2024, 263: 155643. PMID: 39413460, DOI: 10.1016/j.prp.2024.155643.Peer-Reviewed Original ResearchNon-small cell lung cancerLung squamous cell carcinomaNegative prognostic biomarkerCell lung cancerSquamous cell carcinomaPancreatic ductal adenocarcinomaPrognostic biomarkerCell carcinomaMultiplex immunohistochemistryPrognostic accuracyDuctal adenocarcinomaLung cancerPrimary lung squamous cell carcinomaHead and neck squamous cell carcinomaNeck squamous cell carcinomaImpact treatment decisionsClinicopathological factorsClinicopathological variablesOverall prognosisPulmonary adenocarcinomaSolid tumorsNon-smallSurvival differencesPrognostic dataCo-testingAn Updated Simplified Severity Scale for Age-Related Macular Degeneration Incorporating Reticular Pseudodrusen Age-Related Eye Disease Study Report Number 42
Agrón E, Domalpally A, Chen Q, Lu Z, Chew E, Keenan T, Groups A. An Updated Simplified Severity Scale for Age-Related Macular Degeneration Incorporating Reticular Pseudodrusen Age-Related Eye Disease Study Report Number 42. Ophthalmology 2024, 131: 1164-1174. PMID: 38657840, PMCID: PMC11416341, DOI: 10.1016/j.ophtha.2024.04.011.Peer-Reviewed Original ResearchAge-Related Eye Disease StudyProgression to late AMDReticular pseudodrusenLate AMDFive-year ratesProgression rateAge-related macular degenerationSeverity ScaleEye Disease StudyClinical trial cohortIncrease prognostic accuracyPost hoc analysisMacular degenerationAREDS2Prognostic accuracyTrial cohortRisk featuresHoc analysisRisk categorizationPseudodrusenAge-relatedBaselineDisease StudyRiskExternal validationCombining Charlson comorbidity and VACS indices improves prognostic accuracy for all-cause mortality for patients with and without HIV in the Veterans Health Administration
McGinnis K, Justice A, Marconi V, Rodriguez-Barradas M, Hauser R, Oursler K, Brown S, Bryant K, Tate J, Study F. Combining Charlson comorbidity and VACS indices improves prognostic accuracy for all-cause mortality for patients with and without HIV in the Veterans Health Administration. Frontiers In Medicine 2024, 10: 1342466. PMID: 38356736, PMCID: PMC10864663, DOI: 10.3389/fmed.2023.1342466.Peer-Reviewed Original ResearchCharlson Comorbidity IndexVACS IndexHIV RNAVeterans Health AdministrationComorbid diseasesNon-AIDS conditionsCongestive heart failureAssociated with CD4Risk of mortalityMedian ageHepatitis C.Older age groupsCharlson comorbidityCD4Prognostic accuracyHeart failurePWoHComorbidity indexVA careKidney diseasePWHHIVMatched comparatorsBaseline predictorsClinical biomarkers
2023
Increased Levels of Galectin-3 in Critical COVID-19
Nikitopoulou I, Vassiliou A, Athanasiou N, Jahaj E, Akinosoglou K, Dimopoulou I, Orfanos S, Dimakopoulou V, Schinas G, Tzouvelekis A, Aidinis V, Kotanidou A. Increased Levels of Galectin-3 in Critical COVID-19. International Journal Of Molecular Sciences 2023, 24: 15833. PMID: 37958814, PMCID: PMC10650562, DOI: 10.3390/ijms242115833.Peer-Reviewed Original ResearchConceptsCOVID-19 patientsCritical COVID-19ICU mortalityGalectin-3Patient cohortPrognostic accuracyCOVID-19Galectin-3 serum levelsIntensive care unit admissionHospitalized COVID-19 patientsCritical COVID-19 patientsGalectin-3 measurementCare unit admissionGalectin-3 levelsIndependent risk factorMultiple organ injurySevere COVID-19Second patient cohortGreek university hospitalGalectin-3 concentrationsUnit admissionActive diseaseRespiratory failureHospital admissionOrgan injuryIncorporating clinicopathological and molecular risk prediction tools to improve outcomes in early HR+/HER2– breast cancer
Curigliano G, Dent R, Llombart-Cussac A, Pegram M, Pusztai L, Turner N, Viale G. Incorporating clinicopathological and molecular risk prediction tools to improve outcomes in early HR+/HER2– breast cancer. Npj Breast Cancer 2023, 9: 56. PMID: 37380659, PMCID: PMC10307886, DOI: 10.1038/s41523-023-00560-z.Peer-Reviewed Original ResearchOptimal treatment pathwayBreast cancerCyclin D kinase 4/6 inhibitorDifferent adjuvant treatment modalitiesFuture risk stratification strategiesSimilar prognostic accuracyAdjuvant treatment modalitiesEarly breast cancerRisk of recurrenceRisk stratification strategiesRisk prediction toolsIndividual patient levelEpidermal growth factor receptorBreast cancer diagnosisGrowth factor receptorTreatment guidelinesRisk stratificationMultigene assaysTreatment modalitiesClinical trialsPatient levelPrognostic accuracyTreatment pathwaysEarly breast cancer diagnosisLevel IDo acute EEG findings add to clinical features in predicting outcomes after status epilepticus and acute symptomatic seizures?
Sivaraju A, Hirsch L. Do acute EEG findings add to clinical features in predicting outcomes after status epilepticus and acute symptomatic seizures? Epilepsy & Behavior 2023, 141: 109134. PMID: 36848748, DOI: 10.1016/j.yebeh.2023.109134.Peer-Reviewed Original ResearchConceptsAcute symptomatic seizuresAnti-seizure medicationsStatus epilepticusEEG findingsSymptomatic seizuresSeizure clinicFunctional outcomeClinical careLong-term clinical careLife-threatening medical emergencyAcute EEG findingsLondon-Innsbruck ColloquiumSubsequent unprovoked seizuresPoor functional outcomeContinuous EEG monitoringAcute seizuresNonconvulsive seizuresClinical featuresPediatric populationUnprovoked seizuresEpileptiform abnormalitiesEpileptic patternsSpecialty clinicTreatment strategiesPrognostic accuracy
2022
Direct Risk Assessment From Myocardial Perfusion Imaging Using Explainable Deep Learning
Singh A, Miller RJH, Otaki Y, Kavanagh P, Hauser MT, Tzolos E, Kwiecinski J, Van Kriekinge S, Wei CC, Sharir T, Einstein AJ, Fish MB, Ruddy TD, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, Di Carli M, Liang JX, Huang C, Han D, Dey D, Berman DS, Slomka PJ. Direct Risk Assessment From Myocardial Perfusion Imaging Using Explainable Deep Learning. JACC Cardiovascular Imaging 2022, 16: 209-220. PMID: 36274041, PMCID: PMC10980287, DOI: 10.1016/j.jcmg.2022.07.017.Peer-Reviewed Original ResearchConceptsMyocardial perfusion imagingTotal perfusion deficitNonfatal myocardial infarctionMyocardial infarctionPerfusion imagingTomography myocardial perfusion imagingIschemic total perfusion deficitStress total perfusion deficitTesting groupReceiver-operating characteristic curvePatient-level riskPrediction of deathSingle photon emissionLogistic regression modelsCause mortalityPrimary outcomeHighest quartileRisk stratificationAbnormal perfusionNormal perfusionPerfusion deficitsAdverse event predictionPrognostic accuracyHigh riskMyocardial perfusionOutcome Prediction in Cerebral Venous Thrombosis: The IN-REvASC Score
Klein P, Shu L, Nguyen TN, Siegler JE, Omran SS, Simpkins AN, Heldner M, de Havenon A, Aparicio HJ, Abdalkader M, Psychogios M, Vedovati MC, Paciaroni M, von Martial R, Liebeskind DS, de Sousa D, Coutinho JM, Yaghi S, Group F. Outcome Prediction in Cerebral Venous Thrombosis: The IN-REvASC Score. Journal Of Stroke 2022, 24: 404-416. PMID: 36221944, PMCID: PMC9561213, DOI: 10.5853/jos.2022.01606.Peer-Reviewed Original ResearchCerebral venous thrombosisPoor neurological outcomePoor outcomeNeurological outcomeVenous thrombosisPrognostic scoreRisk factorsInternational multicenter retrospective studyMulticenter retrospective studyMultivariable logistic regressionFuture clinical trialsActive cancerHigher NIHSSConsecutive patientsMedian ageMultivariable analysisRetrospective studyMRS 3Black raceRadiographic characteristicsClinical trialsPrognostic accuracyHigh riskPatientsClinical decision
2021
Determining a minimum set of variables for machine learning cardiovascular event prediction: results from REFINE SPECT registry
Rios R, Miller RJH, Hu LH, Otaki Y, Singh A, Diniz M, Sharir T, Einstein AJ, Fish MB, Ruddy TD, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, DiCarli M, Van Kriekinge S, Kavanagh P, Parekh T, Liang JX, Dey D, Berman DS, Slomka P. Determining a minimum set of variables for machine learning cardiovascular event prediction: results from REFINE SPECT registry. Cardiovascular Research 2021, 118: 2152-2164. PMID: 34259870, PMCID: PMC9302886, DOI: 10.1093/cvr/cvab236.Peer-Reviewed Original ResearchConceptsMajor adverse cardiac eventsMyocardial perfusion imagingTotal perfusion deficitPrognostic accuracyREFINE SPECT registryImaging variablesTraditional multivariable modelsMultivariable modelStress total perfusion deficitAdverse cardiac eventsReceiver-operating characteristic curveOptimal risk stratificationTomography (SPECT) MPIComparable prognostic accuracyComparable prognostic performanceHigher prognostic accuracySingle photon emissionCardiovascular event predictionCardiac eventsRisk stratificationClinical variablesPerfusion deficitsPrognostic performancePerfusion imagingCollected variablesThe trough of disillusionment: A critique of the “transition” paradigm
Gülöksüz S. The trough of disillusionment: A critique of the “transition” paradigm. European Psychiatry 2021, 64: s17-s17. PMCID: PMC9471660, DOI: 10.1192/j.eurpsy.2021.68.Peer-Reviewed Original Research
2020
Automated quantitative analysis of CZT SPECT stratifies cardiovascular risk in the obese population: Analysis of the REFINE SPECT registry
Klein E, Miller RJH, Sharir T, Einstein AJ, Fish MB, Ruddy TD, Kaufmann PA, Sinusas AJ, Miller EJ, Bateman TM, Dorbala S, Di Carli M, Otaki Y, Gransar H, Liang JX, Dey D, Berman DS, Slomka PJ. Automated quantitative analysis of CZT SPECT stratifies cardiovascular risk in the obese population: Analysis of the REFINE SPECT registry. Journal Of Nuclear Cardiology 2020, 29: 727-736. PMID: 32929639, PMCID: PMC8497048, DOI: 10.1007/s12350-020-02334-7.Peer-Reviewed Original ResearchConceptsBody mass indexTotal perfusion deficitStress total perfusion deficitMyocardial perfusion imagingSPECT myocardial perfusion imagingPrognostic accuracyObese populationMajor adverse cardiac event risksCox proportional hazards analysisDifferent obesity categoriesRobust risk stratificationCardiac event riskProportional hazards analysisHigher prognostic accuracyREFINE SPECT registrySoft tissue attenuationQuantitative perfusion analysisMACE riskObesity categoriesCardiovascular riskObese patientsAdjusted analysisMass indexRisk stratificationSignificant obesityPredicting risk of late age-related macular degeneration using deep learning
Peng Y, Keenan T, Chen Q, Agrón E, Allot A, Wong W, Chew E, Lu Z. Predicting risk of late age-related macular degeneration using deep learning. Npj Digital Medicine 2020, 3: 111. PMID: 32904246, PMCID: PMC7453007, DOI: 10.1038/s41746-020-00317-z.Peer-Reviewed Original ResearchLate age-related macular degenerationAge-related macular degenerationHigher prognostic accuracyClinical standardsMacular degenerationPrognostic accuracyIndependent cohortLargest longitudinal clinical trialsProbability of progressionSight-threatening stagesColor fundus photographsLongitudinal clinical trialsAMD patientsRetinal specialistsClinical trialsFundus photographsSpecialty clinicHigh riskClinical actionsSurvival analysisMedical interventionsIndividual riskAREDS2AREDSExternal validationConcerns of surrogate decision makers for patients with acute brain injury: A US population survey.
Hwang DY, Knies AK, Mampre D, Kolenikov S, Schalk M, Hammer H, White DB, Holloway RG, Sheth KN, Fraenkel L. Concerns of surrogate decision makers for patients with acute brain injury: A US population survey. Neurology 2020, 94: e2054-e2068. PMID: 32341190, PMCID: PMC7282883, DOI: 10.1212/wnl.0000000000009406.Peer-Reviewed Original ResearchConceptsSevere acute brain injurySevere functional disabilityAcute brain injurySurrogate decision makersBrain injuryLatent class analysisPatient's wishesVegetative stateLong-term careFunctional disabilityPoor prognosisUS population surveySD groupPrognostic accuracyHypothetical patientsPatientsUS populationAdditional groupOlder adultsFuture interventionsCompletion ratesInjuryFamily consensusPopulation surveyUnique concerns
2018
Prognostic Accuracy of the HEART Score for Prediction of Major Adverse Cardiac Events in Patients Presenting With Chest Pain: A Systematic Review and Meta‐analysis
Fernando SM, Tran A, Cheng W, Rochwerg B, Taljaard M, Thiruganasambandamoorthy V, Kyeremanteng K, Perry JJ. Prognostic Accuracy of the HEART Score for Prediction of Major Adverse Cardiac Events in Patients Presenting With Chest Pain: A Systematic Review and Meta‐analysis. Academic Emergency Medicine 2018, 26: 140-151. PMID: 30375097, DOI: 10.1111/acem.13649.Peer-Reviewed Original ResearchConceptsMajor adverse cardiac eventsPrediction of MACEAdverse cardiac eventsHEART scorePrediction of mortalityChest painMyocardial infarctionPrognostic accuracyCardiac eventsTIMI scoreLow-risk thresholdSystematic reviewPrediction of MIMyocardial Infarction (TIMI) scoreAdult ED patientsChest pain patientsShort-term incidenceClinical decision instrumentWeb of ScienceAdult patientsPain patientsED patientsRisk stratificationCochrane DatabasePatient populationNeed for evidence-based early intervention programmes: a public health perspective
Guloksuz S, van Os J. Need for evidence-based early intervention programmes: a public health perspective. BMJ Mental Health 2018, 21: 128. PMID: 30282627, PMCID: PMC10270415, DOI: 10.1136/ebmental-2018-300030.Peer-Reviewed Original ResearchConceptsClinical high riskUltra-high riskPsychotic symptomsEarly intervention programsSpecific effective treatmentBroader prevention strategiesIntervention programsPositive psychotic symptomsPublic health impactPublic health perspectivePrognostic accuracyHelp-seeking populationEffective treatmentHigh riskPsychosis benefitPrevention strategiesRisk enrichmentPredictive valueTherapeutic interventionsMeta-analytical evidenceSymptomsHealth perspectiveEarly psychopathologyHealth impactsAssessment toolPrognostic Accuracy of the Quick Sequential Organ Failure Assessment for Mortality in Patients With Suspected Infection: A Systematic Review and Meta-analysis.
Fernando SM, Tran A, Taljaard M, Cheng W, Rochwerg B, Seely AJE, Perry JJ. Prognostic Accuracy of the Quick Sequential Organ Failure Assessment for Mortality in Patients With Suspected Infection: A Systematic Review and Meta-analysis. Annals Of Internal Medicine 2018, 168: 266-275. PMID: 29404582, DOI: 10.7326/m17-2820.Peer-Reviewed Original ResearchConceptsQuick Sequential Organ Failure AssessmentPrediction of mortalitySequential Organ Failure AssessmentOrgan Failure AssessmentIntensive care unitNon-ICU populationSIRS criteriaICU populationAdult patientsPooled specificityEmergency departmentPooled sensitivityPrognostic accuracySystemic inflammatory response syndrome criteriaShort-term mortalityScreening of patientsFailure AssessmentEnglish-language studiesSyndrome criteriaTreatment initiationCare unitPatient selectionStudy qualityEmergency physiciansHospital wards
2017
Cumulative Intracranial Tumor Volume Augments the Prognostic Value of Diagnosis-Specific Graded Prognostic Assessment Model for Survival in Patients with Melanoma Cerebral Metastases
Hirshman BR, Wilson BR, Ali MA, Schupper AJ, Proudfoot JA, Goetsch SJ, Carter BS, Sinclair G, Bartek J, Chiang V, Fogarty G, Hong A, Chen CC. Cumulative Intracranial Tumor Volume Augments the Prognostic Value of Diagnosis-Specific Graded Prognostic Assessment Model for Survival in Patients with Melanoma Cerebral Metastases. Neurosurgery 2017, 83: 237-244. PMID: 28973506, DOI: 10.1093/neuros/nyx380.Peer-Reviewed Original ResearchConceptsCumulative intracranial tumor volumeIntracranial tumor volumeMelanoma brain metastasesBrain metastasesPrognostic valueDS-GPATumor volumeStereotactic radiosurgeryIndependent cohortKey prognostic variablesPrognostic assessment modelPrognostic assessment scaleKarnofsky performance statusNet reclassification indexCerebral metastasesPerformance statusMelanoma patientsPrognostic utilityIntracranial metastasesReclassification indexPrognostic accuracyPrognostic scalesPrognostic variablesPatientsMelanoma cohortMulti-institutional Validation Study of the American Joint Commission on Cancer (8th Edition) Changes for T and N Staging in Patients With Pancreatic Adenocarcinoma
Allen P, Kuk D, Castillo C, Basturk O, Wolfgang C, Cameron J, Lillemoe K, Ferrone C, Morales-Oyarvide V, He J, Weiss M, Hruban R, Gönen M, Klimstra D, Mino-Kenudson M. Multi-institutional Validation Study of the American Joint Commission on Cancer (8th Edition) Changes for T and N Staging in Patients With Pancreatic Adenocarcinoma. Annals Of Surgery 2017, 265: 185-191. PMID: 27163957, PMCID: PMC5611666, DOI: 10.1097/sla.0000000000001763.Peer-Reviewed Original ResearchConceptsConcordance probability estimateMemorial Sloan KetteringPancreatic adenocarcinomaJohns Hopkins HospitalNodal statusMassachusetts General HospitalTumor sizeN stageDefinition of tumor sizeAmerican Joint Commission on CancerPredominance of patientsStage-specific outcomesStage-specific survivalMargin-negativeMedian survivalPathology reviewProspective databaseT stageCommission on CancerStage subgroupsAJCC stageStratify patientsAJCC criteriaPrognostic accuracyAdenocarcinoma
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply