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All were assessable for response evaluation, survival analysis and toxicity.
During the preoperative evaluation, survival estimates can help surgeons carefully avoid under- or overtreatment of the disease by identifying which patients are likely to benefit from surgery but also whether a more durable implant may be necessary [ 5, 6].
Since response was assessed on a case-by-case basis by the investigator, possibly using somewhat different principles and methods of evaluation, survival may be a more meaningful outcome measure in our study than clinical response.
Nevertheless, a series of randomized interventional trials targeting euglyemia failed to corroborate the impressive findings of the initial study, culminating in the 6,104-patient 6,104-patientormoglycaemia in Intensive Care Evaluation Survival UsiNormoglycaemiaorinhm RegulatIntensivel [ 5] that suggested that a moderate glyCarec targEvaluationferable to 'tighter' control.
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Later diverging results have been published, andin a large multi-centre trial, Normoglycemia in Intensive Care Evaluation-Survival Using Glucose Algorithm Regulation NICE-SUGAR), the tRegulation NICE-SUGAR even higher mortheitreatmenthe control group [ 2].
The NICE-SUGAR (Normoglycemia in Intensive Care Evaluation-Survival Using Glucose Algorithm Regulation) trial is a large (n = 6,100) multicenter randomized controlled study of ITT [ 33] that has just completed recruitment.
ICU = intensive care unit; IIT = intensive insulin therapy; NICE-SUGAR = Normoglycemia in Intensive Care Evaluation-Survival Using Glucose Algorithm Regulation [studies]; VISEP = Efficacy of Volume Substitution and Insulin Therapy in Severe Sepsis [study].
A group evaluating data from the Beta-Blocker Evaluation of Survival Trial took a different approach [ 46].
CORTICUS: Corticosteroid Therapy of Septic Shock; NICE-SUGAR: Normoglycaemia in Intensive care Evaluation and Survival Using Glucose Algorithm; SSC: Surviving Sepsis Campaign; VISEP: Efficacy of Volume Substitution and Insulin therapy in Severe Sepsis.
In particular, the Normoglycemia in Intensive Care Evaluation and Survival Using Glucose Algorithm Regulation (NICE-SUGAR) trial showed decreased survival with tight glycemic control in association with increased hypoglycemia (30).
Two most important considerations in evaluation of survival prediction models are 1) predictability - ability to predict survival risks accurately and 2) reproducibility - ability to generalize to predict samples generated from different studies.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com