Publications by authors named "Christophe A T Stevens"
Article Synopsis
- - The study focuses on improving the detection of familial hypercholesterolemia (FH), a common genetic disorder that is often underdiagnosed, which could help prevent heart-related issues linked to it.
- - Researchers used machine learning algorithms on data from the UK Biobank to identify individuals with FH-causing genetic variants, comparing the performance of these algorithms against existing clinical diagnostic criteria.
- - The findings showed that their machine learning model outperformed traditional diagnostic methods in identifying FH, with better sensitivity and accuracy, and reduced the number of individuals needed to be screened to find a case of FH.
This is an overview of the EAS Familial Hypercholesterolaemia (FH) Studies Collaboration (FHSC) global consortium and registry (established 2015), which broadly addresses the global burden of FH. Eighty-seven National Lead Investigators from 74 countries form this expanding global consortium, and this global registry currently includes pooled data on 70,000 participants from participating countries to facilitate FH surveillance. Published first results from this global registry concluded that FH is diagnosed late, and management of LDL-cholesterol falls below guideline recommendations, and therefore earlier detection of FH and wider use of combination therapy is required.
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- * A systematic review and meta-analysis were conducted, analyzing data from 42 studies in the general population and 20 in patients with atherosclerotic cardiovascular disease, totaling over 7 million individuals.
- * Findings show the overall prevalence of FH in the general population is approximately 1 in 311, with notable variance based on study size, diagnostic criteria, and geographic region, emphasizing a need for better detection and prevention strategies.
Background And Aims: Management of familial hypercholesterolaemia (FH) may vary across different settings due to factors related to population characteristics, practice, resources and/or policies. We conducted a survey among the worldwide network of EAS FHSC Lead Investigators to provide an overview of FH status in different countries.
Methods: Lead Investigators from countries formally involved in the EAS FHSC by mid-May 2018 were invited to provide a brief report on FH status in their countries, including available information, programmes, initiatives, and management.
Context: The investigation of dose-response associations between carbohydrate intake, glycemic index, glycemic load, and risk of breast cancer stratified by menopausal status, hormone receptor status, and body mass index (BMI) remains inconclusive.
Objective: A systematic review and dose-response meta-analyses was conducted to investigate these associations.
Data Sources: As part of the World Cancer Research Fund/American Institute for Cancer Research Continuous Update Project, PubMed was searched up to May 2015 for relevant studies on these associations.