Thursday, November 10, 2016

Self-learning trial to use Spinnaker software


I am excited to announce Spiral have joined the team working on the first response adaptive platform trial to be based in Australia and New Zealand(REMAP-CAP).  The self-learning design for this clinical trial is an exciting new methodology that significantly reduces the time and number of patients needed to test treatments while increasing safety for trial participants.

For this project our Spinnaker software will be used in Australian and New Zealand ICUs to test questions related to community acquired pneumonia.  Spinnakers adaptability is a key factor in this self-learning/adaptive trial.

Trial funding
The trial is funded by the Health Research Council of New Zealand(HRC) and the National Health and Medical Research Council of Australia(NHMRC).

General Characteristics of a Platform Trial
  • A novel and innovative trial design that is highly adaptive and utilises frequent Bayesian interim analyses to answer as many questions as possible from the available sample
  • Simultaneously evaluates the effectiveness of multiple alternative treatment options in a heterogeneous population including identifying any interactions between treatments
  • Evaluates treatment effects in sub-groups
  • Allows modification of key trial parameters in response to accumulated information and predefined rules
  • Preferentially randomises participants to treatments that are likely to be more effective, leading to better outcomes for patients within the trial. 



Self-learning trial to use Spinnaker software


I am excited to announce Spiral have joined the team working on the first response adaptive platform trial to be based in Australia and New Zealand(REMAP-CAP).  The self-learning design for this clinical trial is an exciting new methodology that significantly reduces the time and number of patients needed to test treatments while increasing safety for trial participants.

For this project our Spinnaker software will be used in Australian and New Zealand ICUs to test questions related to community acquired pneumonia.  Looks like Spiral really does have the most adaptable clinical trial software in ANZ!

Trial funding
The trial is funded by the Health Research Council of New Zealand(HRC) and the National Health and Medical Research Council of Australia(NHMRC).

General Characteristics of a Platform Trial
  • A novel and innovative trial design that is highly adaptive and utilises frequent Bayesian interim analyses to answer as many questions as possible from the available sample
  • Simultaneously evaluates the effectiveness of multiple alternative treatment options in a heterogeneous population including identifying any interactions between treatments
  • Evaluates treatment effects in sub-groups
  • Allows modification of key trial parameters in response to accumulated information and predefined rules
  • Preferentially randomises participants to treatments that are likely to be more effective, leading to better outcomes for patients within the trial. 


Self-learning trial to use Spinnaker software


I am excited to announce Spiral have joined the team working on the first response adaptive platform trial to be based in Australia and New Zealand(REMAP-CAP).  The self-learning design for this clinical trial is an exciting new methodology that significantly reduces the time and number of patients needed to test treatments while increasing safety for trial participants.

For this project our Spinnaker software will be used in Australian and New Zealand ICUs to test questions related to community acquired pneumonia.  Looks like Spiral really does have the most adaptable clinical trial software in ANZ! 
Trial funding
The trial is funded by the Health Research Council of New Zealand(HRC) and the National Health and Medical Research Council of Australia(NHMRC).

General Characteristics of a Platform Trial
  • A novel and innovative trial design that is highly adaptive and utilises frequent Bayesian interim analyses to answer as many questions as possible from the available sample
  • Simultaneously evaluates the effectiveness of multiple alternative treatment options in a heterogeneous population including identifying any interactions between treatments
  • Evaluates treatment effects in sub-groups
  • Allows modification of key trial parameters in response to accumulated information and predefined rules
  • Preferentially randomises participants to treatments that are likely to be more effective, leading to better outcomes for patients within the trial. 


Wednesday, November 02, 2016

3 local ICU researchers receive 2017 HRC awards

The 2017 New Zealand Health Research Council general career development awards were announced on Monday and 3 of our favourite researchers received awards.

Shay McGuinness, Auckland District Health Board, received a Clinical Practitioner Research Fellowship for Improving outcomes after cardiothoracic surgery.

Paul Young, Capital & Coast District Health Board, received a Clinical Practitioner Research Fellowship for Prevention and treatment of fever in the intensive care unit.

Diane Mackle, Medical Research Institute of New Zealand, received a Clinical Research Training Fellowship for Knowledge translation in the management of oxygen therapy in intensive care.

Nga mihi nui

Read the HRC press release