Publications by authors named "S Gsteiger"

Many countries around the world use health technology assessment (HTA) to inform reimbursement and pricing decisions. HTA is often split into two steps, called assessment and appraisal. While the term HTA itself has been defined by international consortia, there is heterogeneity in the way different stakeholders use the terms assessment and appraisal.

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Article Synopsis
  • The study aimed to estimate how common diagnosed Alzheimer's disease (AD) and early Alzheimer's disease (eAD) were in England on January 1, 2020, using a range of demographic factors like age, sex, and deprivation.
  • It utilized data from primary care, linked secondary care records, and deprivation statistics to analyze a large sample of patients, estimating the prevalence rates per 100,000 individuals.
  • Results indicated a prevalence of 378.39 for AD and 292.81 for eAD, showing significant variations based on the methods used, with trends revealing higher prevalence in older adults and among women, as well as a correlation with socioeconomic deprivation.
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Background: Evidence on the relative risk of death across all stages of Alzheimer's disease (AD) is lacking but greatly needed for the evaluation of new interventions. We used data from the Uniform Data Set (UDS) of the National Alzheimer's Coordinating Center (NACC) to assess the expected survival of a person progressing to a particular stage of AD and the relative risk of death for a person in a particular stage of AD compared with cognitively normal (CN) people.

Methods: This was a retrospective observational cohort study of mortality and its determinants in participants with incident mild cognitive impairment (MCI) due to AD or AD dementia compared with CN participants.

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Background: Alzheimer's disease (AD) is the most common type of dementia, causing progressive decline of memory, thinking, and behavior, impairing daily functioning. Early AD (eAD) includes mild cognitive impairment (MCI) due to AD and mild AD dementia.

Objective: The aim of this study was to investigate symptomatic treatment prevalence and treatment patterns in eAD.

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Background: Increasingly in network meta-analysis (NMA), there is a need to incorporate non-randomised evidence to estimate relative treatment effects, and in particular in cases with limited randomised evidence, sometimes resulting in disconnected networks of treatments. When combining different sources of data, complex NMA methods are required to address issues associated with participant selection bias, incorporating single-arm trials (SATs), and synthesising a mixture of individual participant data (IPD) and aggregate data (AD). We develop NMA methods which synthesise data from SATs and randomised controlled trials (RCTs), using a mixture of IPD and AD, for a dichotomous outcome.

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