0000000000161468

AUTHOR

J. Craig

showing 2 related works from this author

The Vegf Pathway in Patients with Pancreatic Neuroendocrine Tumors: Efficacy of Everolimus by Baseline Marker Level, and Prognostic and Predictive Ef…

2012

ABSTRACT Background RADIANT-3 was a phase III study investigating the effect of the mammalian target of rapamycin inhibitor everolimus on progression-free survival (PFS) in patients with advanced pancreatic neuroendocrine tumors (pNET; Yao et al, NEJM, 2011). Everolimus significantly improved PFS compared with placebo (11 vs 4.6 months, P  Methods Baseline plasma levels of VEGF-A, PlGF, sVEGFR1, and sVEGFR2 were determined by ELISA using multiplexed MSD platform. The optimal cutoffs for these markers were explored using the “survival tree analysis” method. Interaction of treatment and baseline marker status ( Results PFS was significantly improved to a similar extent in patients receiving e…

Oncologymedicine.medical_specialtyEverolimusbusiness.industryHematologyPlasma levelsNeuroendocrine tumorsmedicine.diseasePlaceboOncologyMarker statusInternal medicinemedicineIn patientTreatment effectbusinessSurvival treemedicine.drugAnnals of Oncology
researchProduct

Relationship between the Clinical Frailty Scale and short-term mortality in patients ≥ 80 years old acutely admitted to the ICU: a prospective cohort…

2021

Abstract Background The Clinical Frailty Scale (CFS) is frequently used to measure frailty in critically ill adults. There is wide variation in the approach to analysing the relationship between the CFS score and mortality after admission to the ICU. This study aimed to evaluate the influence of modelling approach on the association between the CFS score and short-term mortality and quantify the prognostic value of frailty in this context. Methods We analysed data from two multicentre prospective cohort studies which enrolled intensive care unit patients ≥ 80 years old in 26 countries. The primary outcome was mortality within 30-days from admission to the ICU. Logistic regression models for…

MaleShort term mortalityCritical Care and Intensive Care MedicineCohort Studies0302 clinical medicinekwetsbaarheidMedicine and Health Sciences80 and overMedicine610 Medicine & healthProspective cohort studyCorrelation of Data11 Medical and Health SciencesAged 80 and overOUTCOMESIntensive care unitsFrailtyVIP1Aged&nbspMedical emergencies. Critical care. Intensive care. First aidScale (social sciences)Femaleprospectief onderzoekLife Sciences & BiomedicineCRITICALLY-ILL PATIENTS 80 and overStudy groupsmedicine.medical_specialtyAnestesi och intensivvård80 jaar en ouder610 Medicine & healthINTENSIVE-CAREBED AVAILABILITYNO03 medical and health sciencesCritical Care MedicineIntensive caresterfteGeneral & Internal MedicineHumansIntensive care units; Aged; 80 and over; Frailty; Prospective studies; MortalityIn patientddc:610Aged 80 and over; Frailty; Intensive care units; Mortality; Prospective studies; Aged 80 and over; Cohort Studies; Correlation of Data; Female; Frailty; Humans; Intensive Care Units; Logistic Models; Male; Mortality; Prospective StudiesMortalityAgedScience & TechnologyAnesthesiology and Intensive Carebusiness.industryRC86-88.9Research030208 emergency & critical care medicineADULTSAged 80 and over; Frailty; Intensive care units; Mortality; Prospective studies;Emergency & Critical Care MedicineLogistic Models030228 respiratory systemintensivecareafdelingenAged 80 and overCritical illnessEmergency medicineVIP2 study group&nbspCRITICAL ILLNESSbusinessProspective studies
researchProduct