2025
Cardiovascular risk factors in myeloproliferative neoplasms: associations with survival and thrombotic outcomes
How J, Leiva O, Redd R, Marneth A, DeAngelo D, Dieli-Conwright C, El-Jawahri A, Kamaz B, Kim C, Lindsley R, Luskin M, Stahl M, Wazir M, Weeks L, Hobbs G. Cardiovascular risk factors in myeloproliferative neoplasms: associations with survival and thrombotic outcomes. Blood Vessels Thrombosis & Hemostasis 2025, 2: 100051. DOI: 10.1016/j.bvth.2025.100051.Peer-Reviewed Original ResearchMyeloproliferative neoplasm patientsCardiovascular risk factorsEssential thrombocythemiaMyeloproliferative neoplasmsPolycythemia veraThrombotic outcomesThrombotic riskRisk factorsDiagnosis of hematological malignanciesMyeloproliferative neoplasm subtypeIncreased risk of deathType 2 diabetes mellitusMyeloproliferative neoplasms diagnosisRetrospective cohort analysisSex-matched controlsManaging cardiovascular risk factorsAssociated with survivalImprove patient morbidityRisk of deathMF patientsHematologic malignanciesMPN diagnosisPatient morbidityDana-FarberArterial/venous thrombosisPersonalized frailty risk assessment in long-term survivors of colorectal cancer.
Forman R, Westvold S, Long J, Fan J, Hyslop T, Yasin F, Conlin K, Jacobson S, Silber A, Wang S, Leapman M, Leeds I, Cecchini M, Spees L, Wheeler S, Gross C, Oeffinger K, Dinan M. Personalized frailty risk assessment in long-term survivors of colorectal cancer. Journal Of Clinical Oncology 2025, 43: 65-65. DOI: 10.1200/jco.2025.43.4_suppl.65.Peer-Reviewed Original ResearchRectal cancer survivorsCancer survivorsElixhauser Comorbidity IndexLong-term survivors of colorectal cancerSurvivors of colorectal cancerClinical prediction modelStage I-III colonCancer diagnosisGastrointestinal cancer survivorsYear 4Area-level povertyAssociated with reduced qualityRisk of frailtyProportion of residentsOnset of frailtyPredictors of frailtyFederal poverty lineIncreased risk of deathAdministrative claims codesSurvivorship managementRisk of deathRetrospective cohort studyAssociated with shorter timePatient raceSevere frailtyQuality of gastrointestinal surgical oncology care according to insurance status
Butensky S, Kerekes D, Bakkila B, Billingsley K, Ahuja N, Johnson C, Khan S. Quality of gastrointestinal surgical oncology care according to insurance status. Journal Of Gastrointestinal Surgery 2025, 29: 101961. PMID: 39800081, DOI: 10.1016/j.gassur.2025.101961.Peer-Reviewed Original ResearchConceptsMedicare-insured patientsNational Cancer DatabaseAdequate lymphadenectomyNegative marginsCancer DatabaseRetrospective study of adult patientsStudy of adult patientsSurvival analysisInsurance statusReceipt of lymphadenectomyCurative-intent resectionGastrointestinal (GI) cancersIncreased risk of deathMultivariate survival analysisAdequacy of lymphadenectomyCox proportional hazards modelsRisk of deathProportional hazards modelResection marginsSurgical oncology careAdjuvant therapyRetrospective studyAdult patientsBiliary organismsLymphadenectomy
2024
Combining electronic health records data from a clinical research network with registry data to examine long-term outcomes of interventions and devices: an observational cohort study
Mao J, Matheny M, Smolderen K, Mena-Hurtado C, Sedrakyan A, Goodney P. Combining electronic health records data from a clinical research network with registry data to examine long-term outcomes of interventions and devices: an observational cohort study. BMJ Open 2024, 14: e085806. PMID: 39327057, PMCID: PMC11429269, DOI: 10.1136/bmjopen-2024-085806.Peer-Reviewed Original ResearchConceptsElectronic health recordsElectronic health record dataClinical Research NetworkAmputation-free survivalPeripheral vascular interventionsResearch NetworkINSIGHT Clinical Research NetworkNew York CityHealth record dataIncreased riskLong-term outcomes of interventionsSecondary outcome measuresOutcomes of interventionsIncreased risk of deathYork CityRisk of deathObservational cohort studyHealth recordsRegistry dataClinical registryVascular Quality Initiative registryCohort studyOutcome assessmentRecord dataLong-term outcomesAssociation Between Undernutrition and Mortality and Amputation Outcomes in Chronic Limb Threatening Ischaemia: A Systematic Review
Scierka L, Cleman J, Brice A, Grimshaw A, Soedamah-Muthu S, Mena-Hurtado C, Smolderen K. Association Between Undernutrition and Mortality and Amputation Outcomes in Chronic Limb Threatening Ischaemia: A Systematic Review. European Journal Of Vascular And Endovascular Surgery 2024, 68: 771-783. PMID: 39216793, DOI: 10.1016/j.ejvs.2024.08.038.Peer-Reviewed Original ResearchChronic limb-threatening ischaemiaNutritional screening toolsLimb-threatening ischaemiaRisk of deathValidity of nutrition screening toolsSystematic reviewScreening toolEffect sizeStatistically significant increased riskNutritional statusIndicators of undernutritionModifiable risk factorsStatistically significant increased risk of deathRandomised controlled trialsQuality of evidenceCertainty of evidenceNutritional status measuresIncreased risk of deathCase-control studySystematic literature searchAmputation outcomesStatus measuresCase-control study of patientsData extractionCohort studyDeep learning-based epicardial adipose tissue measurement, maximizing prognostic information from attenuation correction imaging
Shanbhag A, Miller R, Killekar A, Lemley M, Bednarski B, Van Kriekinge S, Kavanagh P, Feher A, Miller E, Bateman T, Liang J, Builoff V, Berman D, Dey D, Slomka P. Deep learning-based epicardial adipose tissue measurement, maximizing prognostic information from attenuation correction imaging. Progress In Biomedical Optics And Imaging 2024, 12930: 129300b-129300b-6. DOI: 10.1117/12.3007914.Peer-Reviewed Original ResearchEpicardial adipose tissueUngated CTMyocardial infarctionEAT volumeRisk stratificationComputed tomographyEAT volume measurementEpicardial adipose tissue measurementsEpicardial adipose tissue volumeAssociated with risk of cardiovascular eventsRisk of cardiovascular eventsMedian Follow-UpIncreased risk of deathGated computed tomographyImprove risk stratificationAdipose tissue measurementsAssociated with riskRisk of deathAttenuation correction imagesGated CTChest CTNo significant differencePrognostic informationCardiovascular eventsFollow-upAI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging
Miller R, Shanbhag A, Killekar A, Lemley M, Bednarski B, Van Kriekinge S, Kavanagh P, Feher A, Miller E, Einstein A, Ruddy T, Liang J, Builoff V, Berman D, Dey D, Slomka P. AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging. Npj Digital Medicine 2024, 7: 24. PMID: 38310123, PMCID: PMC10838293, DOI: 10.1038/s41746-024-01020-z.Peer-Reviewed Original ResearchEpicardial adipose tissueMyocardial infarctionPerfusion imagingEpicardial adipose tissue measurementsEpicardial adipose tissue volumeEAT attenuationMedian Follow-UpIncreased risk of deathEpicardial fat measurementMyocardial perfusion imagingAssociated with cardiovascular riskCoronary artery diseaseAssociated with deathEating measuresRisk of deathEAT volumeLow-dosePrognostic insightsFollow-upCardiovascular riskCardiovascular risk predictionUngated CTArtery diseaseIncreased riskCardiac silhouette
2022
A population-based evaluation of tunica vaginalis mesothelioma: An analysis of the National Cancer Database
Witmer H, Dhiman A, Giurcanu M, Eng O, Eggener S, Kindler H, Turaga K. A population-based evaluation of tunica vaginalis mesothelioma: An analysis of the National Cancer Database. Urologic Oncology Seminars And Original Investigations 2022, 41: 52.e11-52.e20. PMID: 36319552, DOI: 10.1016/j.urolonc.2022.09.029.Peer-Reviewed Original ResearchConceptsNational Cancer DatabaseOverall survivalSystemic chemotherapyCancer DatabaseMargin-negative surgical resectionPositive surgical marginsAdjuvant systemic chemotherapyReceipt of systemic chemotherapyIncreased risk of deathQuartiles of ageKaplan-Meier survivalCox proportional hazards modelsRisk of deathPopulation-based evaluationProportional hazards modelMedian OSImproved OSMedian followPrimary mesotheliomaPropensity score matchingSurgical marginsSurgical resectionNo significant differenceHistology codesRetrospective analysis
2020
Clinical characteristics, outcomes, and risk factors for mortality in hospitalized patients with COVID-19 and cancer history: a propensity score-matched study
Sorouri M, Kasaeian A, Mojtabavi H, Radmard A, Kolahdoozan S, Anushiravani A, Khosravi B, Pourabbas S, Eslahi M, Sirusbakht A, Khodabakhshi M, Motamedi F, Azizi F, Ghanbari R, Rajabi Z, Sima A, Rad S, Abdollahi M. Clinical characteristics, outcomes, and risk factors for mortality in hospitalized patients with COVID-19 and cancer history: a propensity score-matched study. Infectious Agents And Cancer 2020, 15: 74. PMID: 33334375, PMCID: PMC7745169, DOI: 10.1186/s13027-020-00339-y.Peer-Reviewed Original ResearchHistory of cancerChest Computed TomographyCOVID-19 patientsIschemic heart diseaseSolid tumorsCancer groupDiabetes mellitusPCR-confirmed COVID-19 infectionMedical recordsMale to female ratioCOVID-19 adult patientsMortality rateIncreased risk of deathPrognosis of patientsChest CT scanScore-matched studyConclusionIn our studyCase-control studyImpaired consciousness levelMultivariate analysis modelMultivariate logistic regressionEstimate odds ratiosAdjustment of confoundersRisk of deathIncreased rate of mortality
2015
Patients with Biopsy Gleason 9 and 10 Prostate Cancer Have Significantly Worse Outcomes Compared to Patients with Gleason 8 Disease
Tsao C, Gray K, Nakabayashi M, Evan C, Kantoff P, Huang J, Galsky M, Pomerantz M, Oh W. Patients with Biopsy Gleason 9 and 10 Prostate Cancer Have Significantly Worse Outcomes Compared to Patients with Gleason 8 Disease. Journal Of Urology 2015, 194: 91-97. PMID: 25623747, DOI: 10.1016/j.juro.2015.01.078.Peer-Reviewed Original ResearchConceptsDefinitive local therapyGleason 8 diseaseGleason score 8Gleason 9Increased risk of deathRadiation therapyLocal therapyRisk of deathIncreased riskGleason 8Radical prostatectomyScore 8Associated with higher prostate specific antigenPatients treated with radical prostatectomyBiopsy Gleason score 8Gleason 9-10 diseaseHigher prostate specific antigenNeoadjuvant/adjuvant androgen deprivation therapyAndrogen deprivation therapyHigh grade diseaseBaseline patient characteristicsProstate specific antigenMultivariate Cox modelMedian followupBiochemical recurrence
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