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Critical Care (London, England)
|
September 14, 2007
Is there more to glycaemic control than meets the eye?
J Geoffrey Chase, Geoffrey M Shaw
Intensive Care Medicine
|
October 29, 2011
How standard is the "S" in SMR?
J Geoffrey Chase, Geoffrey M Shaw
Intensive Care Medicine
|
May 8, 2014
Comment on Kalfon et al.: Tight computerized versus conventional glucose control in the ICU: a randomized controlled trial
Geoffrey M Shaw, Christopher G Pretty, J Geoffrey Chase
Therapeutic Advances in Endocrinology and Metabolism
|
June 14, 2021
Increased insulin resistance in intensive care: longitudinal retrospective analysis of glycaemic control patients in a New Zealand ICU
Jennifer L Knopp, J Geoffrey Chase, Geoffrey M Shaw
Clinical Nutrition (Edinburgh, Scotland)
|
June 15, 2021
The goldilocks problem: Nutrition and its impact on glycaemic control
Jennifer L Knopp, J Geoffrey Chase, Geoffrey M Shaw
Journal of Diabetes Science and Technology
|
December 20, 2013
Complexity of continuous glucose monitoring data in critically ill patients: continuous glucose monitoring devices, sensor locations, and detrended fluctuation analysis methods
Matthew Signal, Felicity Thomas, Geoffrey M Shaw, et al.
Journal of Diabetes Science and Technology
|
December 20, 2013
Concurrent continuous glucose monitoring in critically ill patients: interim results and observations
Matthew Signal, Liam Fisk, Geoffrey M Shaw, et al.
Journal of Diabetes Science and Technology
|
November 4, 2009
Impact of human factors on clinical protocol performance: a proposed assessment framework and case examples
J Geoffrey Chase, Steen Andreassen, Karsten Jensen, et al.
Journal of Diabetes Science and Technology
|
October 16, 2012
Glycemic levels in critically ill patients: are normoglycemia and low variability associated with improved outcomes?
Matthew Signal, Aaron Le Compte, Geoffrey M Shaw, et al.
Computer Methods and Programs in Biomedicine
|
January 10, 2020
Kernel density estimates for sepsis classification
Jacquelyn Dawn Parente, J Geoffrey Chase, Knut Möller, et al.
Page
of 18
Search research articles
Search
Showing results (1-10 of 173) with videos related to
Sort By:
Page
of 18
Critical Care (London, England)
|
September 14, 2007
Is there more to glycaemic control than meets the eye?
J Geoffrey Chase, Geoffrey M Shaw
Intensive Care Medicine
|
October 29, 2011
How standard is the "S" in SMR?
J Geoffrey Chase, Geoffrey M Shaw
Intensive Care Medicine
|
May 8, 2014
Comment on Kalfon et al.: Tight computerized versus conventional glucose control in the ICU: a randomized controlled trial
Geoffrey M Shaw, Christopher G Pretty, J Geoffrey Chase
Therapeutic Advances in Endocrinology and Metabolism
|
June 14, 2021
Increased insulin resistance in intensive care: longitudinal retrospective analysis of glycaemic control patients in a New Zealand ICU
Jennifer L Knopp, J Geoffrey Chase, Geoffrey M Shaw
Clinical Nutrition (Edinburgh, Scotland)
|
June 15, 2021
The goldilocks problem: Nutrition and its impact on glycaemic control
Jennifer L Knopp, J Geoffrey Chase, Geoffrey M Shaw
Journal of Diabetes Science and Technology
|
December 20, 2013
Complexity of continuous glucose monitoring data in critically ill patients: continuous glucose monitoring devices, sensor locations, and detrended fluctuation analysis methods
Matthew Signal, Felicity Thomas, Geoffrey M Shaw, et al.
Journal of Diabetes Science and Technology
|
December 20, 2013
Concurrent continuous glucose monitoring in critically ill patients: interim results and observations
Matthew Signal, Liam Fisk, Geoffrey M Shaw, et al.
Journal of Diabetes Science and Technology
|
November 4, 2009
Impact of human factors on clinical protocol performance: a proposed assessment framework and case examples
J Geoffrey Chase, Steen Andreassen, Karsten Jensen, et al.
Journal of Diabetes Science and Technology
|
October 16, 2012
Glycemic levels in critically ill patients: are normoglycemia and low variability associated with improved outcomes?
Matthew Signal, Aaron Le Compte, Geoffrey M Shaw, et al.
Computer Methods and Programs in Biomedicine
|
January 10, 2020
Kernel density estimates for sepsis classification
Jacquelyn Dawn Parente, J Geoffrey Chase, Knut Möller, et al.
Page
of 18