Introduction And Hypothesis: Many advisory documents have recommended uploading of all mid-urethral sling (MUS) cases onto the British Society of Urogynaecology (BSUG) or British Association of Urological Surgeons (BAUS) database. The aim of this study was to determine whether these documents have resulted in an increase in database case acquisition for MUS surgery.
Method: We determined the number of cases uploaded onto the BSUG and BAUS databases and cases acquired by Hospital Episode Statistics (HES) over the period January 2011-March 2017 for the 6 months prior to each document and 6 months afterwards.
Results: There was an upsurge in data acquisition in 2013, which then declined after year end. There was a significant upsurge in case acquisition associated with the following documents: NHS Medical Director letter (p < 0.00001), the Healthcare Quality Improvement Partnership (HQIP) audit (p < 0.00001). There was a significant drop in case acquisition following the end of the HQIP audit (p < 0.00001) and the Mesh Working Group Interim report (p = 0.00325).
Conclusion: There was a significant increase in case acquisition with the HQIP audit and decline after it. The significant increase in case acquisition seen after the NHS MD letter in November 2012 may have been due to an overlap in the data capture between it and the HQIP audit. The levels of case acquisition do not compare to registries that are essentially compulsory and therefore we believe that voluntary databases are not effective for device post-market surveillance.
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http://dx.doi.org/10.1007/s00192-020-04388-0 | DOI Listing |
J Med Syst
January 2025
Computer Science Institute, DISIT, University of Eastern Piedmont, Alessandria, Italy.
In traditional medical education, learners are mostly trained to diagnose and treat patients through supervised practice. Artificial Intelligence and simulation techniques can complement such an educational practice. In this paper, we present GLARE-Edu, an innovative system in which AI knowledge-based methodologies and simulation are exploited to train learners "how to act" on patients based on the evidence-based best practices provided by clinical practice guidelines.
View Article and Find Full Text PDFBackground: Standardizing tau pathology quantification in vivo is challenged by differences in binding characteristics between tau-PET tracers. The HEAD study aims to generate a leading, longitudinal head-to-head dataset of MK-6240, Flortaucipir, RO948, and PI-2620 tau-PET to harmonize these tracers' outcomes and develop tools allowing for the generalization of findings across large studies and trials. Here, we present current advancements in building the HEAD study cohort and dataset.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
School of Public Health and the Second Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Background: Tear samples were low-invasive to access and may reflect changes in the brain. We performed an exploratory proteomic analysis using tear samples to identify proteomic signature and potential pathways that may be associated with mild cognitive impairment (MCI) and dementia.
Method: We performed a matched case-control study using tear samples collected from community-dwelling older adults, comprising 13 dementia, as well as 34 MCI and 34 age-, sex-, educational-matched normal cognition (NC) controls (age: 73.
Alzheimers Dement
December 2024
Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada.
Background: In-vivo detection of neuropathology is critical for early diagnosis of neurodegenerative diseases. Post-mortem brain magnetic resonance imaging (MRI) of pathological protein inclusions could further our ability to detect them in vivo and correlate MRI parameters to histopathological substrates. In this post-mortem study, we aimed to identify MRI correlates of neurodegenerative disease pathology in a brain with various forms of proteinopathies.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Pittsburgh, Pittsburgh, PA, USA.
Background: Standardizing tau pathology quantification in vivo is challenged by differences in binding characteristics between tau-PET tracers. The HEAD study aims to generate a leading, longitudinal head-to-head dataset of MK-6240, Flortaucipir, RO948, and PI-2620 tau-PET to harmonize these tracers' outcomes and develop tools allowing for the generalization of findings across large studies and trials. Here, we present current advancements in building the HEAD study cohort and dataset.
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