BackgroundRegulatory bodies have recently approved chimeric antigen receptor (CAR)-T cell therapies for patients with multiple myeloma (MM), but the treatment process involves complex decision making. To support the introduction of these therapies, we aimed to establish consensus expert opinion on best practices of all aspects of the management of patients with MM undergoing CAR-T cell therapy in Australia.MethodsWe conducted a modified RAND/UCLA two-round Delphi panel informed by a systematic literature review (SLR). The SLR included evidence from clinical practice guidelines, interventional trials, and observational studies for CAR-T cell therapy for patients with MM, to synthesize methodological aspects of CAR-T cell therapy related to patient management. The Delphi panel comprised eight hematologists from across Australia, each with significant experience directly treating patients using CAR-T therapy or referring patients for CAR-T cell therapy. Panelists completed the surveys electronically, and attended a virtual meeting held before the second-round questionnaire to discuss the first-round questionnaire responses. Consensus was defined a priori as at least 70% agreement on survey questions.ResultsThe SLR identified 22 interventional or observational studies and 5 clinical practice guidelines reporting on selection and management of patients with MM treated with CAR-T cell therapy from various global regions. The Delphi panel reached consensus on practices related to patient referral, screening, selection, prioritization, treatments requiring wash-out, bridging therapy, lymphodepletion, infusion, and post-infusion monitoring and management. Most consensus results aligned with consistently recommended practices within guidelines included in the SLR. Consensus was not reached for statements related to specific screening practices and post-treatment monitoring, suggesting differing opinions on the specific best practices to implement.ConclusionOur Delphi panel established expert consensus on key considerations for patient selection, administrative processes, and aftercare for patients with MM in Australia undergoing CAR-T therapy. This will guide the development of clinical practice guidelines which are relevant and feasible to Australian health systems.

BackgroundRegulatory bodies have recently approved chimeric antigen receptor (CAR)-T cell therapies for patients with multiple myeloma (MM), but the treatment process involves complex decision making. To support the introduction of these therapies, we aimed to establish consensus expert opinion on best practices of all aspects of the management of patients with MM undergoing CAR-T cell therapy in Australia.MethodsWe conducted a modified RAND/UCLA two-round Delphi panel informed by a systematic literature review (SLR). The SLR included evidence from clinical practice guidelines, interventional trials, and observational studies for CAR-T cell therapy for patients with MM, to synthesize methodological aspects of CAR-T cell therapy related to patient management. The Delphi panel comprised eight hematologists from across Australia, each with significant experience directly treating patients using CAR-T therapy or referring patients for CAR-T cell therapy. Panelists completed the surveys electronically, and attended a virtual meeting held before the second-round questionnaire to discuss the first-round questionnaire responses. Consensus was defined a priori as at least 70% agreement on survey questions.ResultsThe SLR identified 22 interventional or observational studies and 5 clinical practice guidelines reporting on selection and management of patients with MM treated with CAR-T cell therapy from various global regions. The Delphi panel reached consensus on practices related to patient referral, screening, selection, prioritization, treatments requiring wash-out, bridging therapy, lymphodepletion, infusion, and post-infusion monitoring and management. Most consensus results aligned with consistently recommended practices within guidelines included in the SLR. Consensus was not reached for statements related to specific screening practices and post-treatment monitoring, suggesting differing opinions on the specific best practices to implement.ConclusionOur Delphi panel established expert consensus on key considerations for patient selection, administrative processes, and aftercare for patients with MM in Australia undergoing CAR-T therapy. This will guide the development of clinical practice guidelines which are relevant and feasible to Australian health systems.

The focus of this dataset is the Australian Capital Territory (ACT). It contains digital spatial data developed to assist in land management decision making in the ACT. The dataset contains hazard …Show full descriptionThe focus of this dataset is the Australian Capital Territory (ACT). It contains digital spatial data developed to assist in land management decision making in the ACT. The dataset contains hazard ratings for land salinity, stream salt load and stream EC as well as overall salinity hazard for each HGL unit. Information about landscape functions and appropriate salinity management strategies are also listed. Hyperlinks to full management descriptions for each HGL unit are provided. The Hydrogeological Landscape (HGL) concept provides a structure for understanding how differences in salinity are expressed across the landscape. A HGL spatially differentiates areas with similar salt stores and pathways for salt mobilisation. The process of delineating a HGL relies on the integration of a number of causative factors: geology, soils, slope, regolith thickness, and climate; an understanding of the different modes of salinity development; and the impacts of salinity within landscapes (land salinity, salt load and salt concentration in streams due to salt contributions from base flow and runoff ). Information sources such as soil landscape maps, site characterisation, salinity occurrence maps, hydrogeological data, surface water and groundwater data are incorporated into standardised unit descriptions.Fit for purpose: This dataset was captured at 1:25,000 scale. This dataset is fit for use as a tool for assessing land management issues at the paddock-scale in the ACT, but this does not negate the need for site assessment at a scale suitable to any potential land use or development under consideration. The mapping was mapped in 'GDA1994 MGA Zone 55s' and transformed to GDA2020 MGA Zone 55s.Credits: Rob Muller (NSW OEH), Wayne Cook (NSW OEH), Allan Nicholson (NSW DPI), Alie Cowood (UC)Disclaimer: While all care is taken to ensure accuracy, the ACT Government does not warrant that the map is free from error.

ACT Hydrogeological Landscapes. This document and the accompanying data deal with the nature and consequences of salinity in the ACT. They have been produced for the ACT Government by the NSW Office of Environment and Heritage (OEH) and NSW Department of Primary Industries (DPI). The maps and document result from a series of salinity projects OEH is undertaking to better understand how dryland salinity manifests in the landscape and how salinity may be best managed.The focus of this Hydrogeological Landscape (HGL) dataset is the Australian Capital Territory. It contains digital spatial data developed to assist in land management decision making in the ACT. The dataset contains hazard ratings for land salinity, stream salt load and stream EC as well as overall salinity hazard for each HGL unit. Information about landscape functions and appropriate salinity management strategies are also listed. Hyperlinks to full management descriptions for each HGL unit are provided. The Hydrogeological Landscape (HGL) concept provides a structure for understanding how differences in salinity are expressed across the landscape. A HGL spatially differentiates areas with similar salt stores and pathways for salt mobilisation. The process of delineating a HGL relies on the integration of a number of causative factors: geology, soils, slope, regolith thickness, and climate; an understanding of the different modes of salinity development; and the impacts of salinity within landscapes (land salinity, salt load and salt concentration in streams due to salt contributions from base flow and runoff). Information sources such as soil landscape maps, site characterisation, salinity occurrence maps, hydrogeological data, surface water and groundwater data are incorporated into standardised unit descriptions.Spatial resolution for this product is 1:50 000.The full ACT HGL dataset includes the following:Hydrogeological LandscapesHydrogeological Landscape Management AreasLand and Soil Capability (Overall)Salinity Hazard (Overall)ACT Erosion Hazard (Current)ACT Erosion Hazard (Future Consensus Scenario)ACT Erosion Hazard (Future Worst Case Scenario)ACT Erosion Hazard (Future Best Case Scenario)Wetland Vulnerability ClassificationWetland Types (Australian National Aquatic Ecosystem)Please see NSW Seed for more information.© State Government of NSW and Department of Planning and Environment 2017

Project tentative timeline.

FocusEconomics' economic data is provided by official state statistical reporting agencies as well as our global network of leading banks, think tanks and consultancies. Our datasets provide not only historical data, but also Consensus Forecasts and individual forecasts from the aformentioned global network of economic analysts. This includes the latest forecasts as well as historical forecasts going back to 2010. Our global network consists of over 1000 world-renowned economic analysts from which we calculate our Consensus Forecasts. In this specific dataset you will find economic data for Australia Inflation.

Indicators and measures for assessment by participants.

Mitochondrial consensus sequences from: Mitchell et al. (2021) "Disparate origins for endemic bird taxa from the 'Gondwanan Rainforests' of Central Eastern Australia" Biological Journal of the Linnean Society.FASTA file containing multiple unaligned sequences.Sequence identification:(Genus)_(museum accession)_(GenBank accession)

Workshop format and data collection for session one (Consensus Mapping and Co-design workshop 1).

The number of cases in urban and remote areas within FNQ by clinical phenotype and pathogen.