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Showing 51–63 of 63 results
Advanced filters: Author: Ruth Angus Clear advanced filters
  • Misra, Wagner et al. systematically review if strategies to subclassify type 2 diabetes (T2D) are associated with high quality evidence and patient outcomes. Cluster-based stratification yields T2D subtypes that associate with outcomes, suggesting subclassification could have future clinical use.

    • Shivani Misra
    • Robert Wagner
    • Miriam S. Udler
    ResearchOpen Access
    Communications Medicine
    Volume: 3, P: 1-19
  • Francis et al. perform a systematic review and meta-analysis to evaluate studies comparing perinatal outcomes among individuals with gestational diabetes mellitus (GDM). Their review and post hoc analysis find that maternal preconception weight and non-glucose-dependent biochemical markers could be a precision diagnostic approach to reducing variability in clinical outcomes following treatment.

    • Ellen C. Francis
    • Camille E. Powe
    • Paul W. Franks
    ResearchOpen Access
    Communications Medicine
    Volume: 3, P: 1-17
  • Semple et al. review the literature to assess the effects of pharmacologic or surgical interventions in monogenic insulin resistance when stratified by genotype. The evidence guiding genotype-specific treatment of monogenic insulin resistance is of low to very low quality, but suggestive of benefits of metreleptin, thiazolidinediones, and rhIGF-1.

    • Robert K. Semple
    • Kashyap A. Patel
    • Rebecca J. Brown
    ResearchOpen Access
    Communications Medicine
    Volume: 3, P: 1-11
  • Lim et al. perform a systematic review and meta-analysis to identify participant characteristics associated with response to gestational diabetes prevention. Characteristics such as BMI, polycystic ovary syndrome and being in the preconception phase could determine responses to certain preventive interventions.

    • Siew Lim
    • Wubet Worku Takele
    • Jami Josefson
    ResearchOpen Access
    Communications Medicine
    Volume: 3, P: 1-11
  • Benham, Gingras, McLennan, Most, Yamamoto, Aiken et al. conduct two systematic reviews and meta-analyses to evaluate whether a precision-based medicine approach can be adopted to improve the clinical management of gestational diabetes (GDM). They find some precision markers that may improve the treatment course of GDM but further research is needed.

    • Jamie L. Benham
    • Véronique Gingras
    • Paul W. Franks
    ResearchOpen Access
    Communications Medicine
    Volume: 3, P: 1-13
  • Felton et al. conducted a systematic review to evaluate studies testing disease-modifying therapies and features linked to treatment response for type 1 diabetes prevention. While the quality of prevention and intervention trials is found to be high, precision analyses on factors associated with treatment response are of poorer quality.

    • Jamie L. Felton
    • Kurt J. Griffin
    • Paul W. Franks
    ResearchOpen Access
    Communications Medicine
    Volume: 3, P: 1-16
  • Murphy, Kevin, Pollin et al. perform a systematic review of the evidence on the criteria used to select individuals with diabetes for genetic testing and of the evidence for the optimal methods for variant detection in genes involved in monogenic diabetes. Based on the findings the authors make recommendations and highlight challenges for the field.

    • Rinki Murphy
    • Kevin Colclough
    • Anna L. Gloyn
    ResearchOpen Access
    Communications Medicine
    Volume: 3, P: 1-24
  • Large national genomic programmes have been created in many countries, including France, England and Germany, to advance the realisation of the potential genomic medicine holds to significantly contribute to society by improving health, and driving science, innovation and the economy. To reach this ambition, these programmes collect, manage and analyse big genomic datasets. While there is much talk about the promises, and hence the importance of genomics, there is little in-depth analysis of the actual contribution or value—here understood as benefits—of genomics for society at large. To explore the issue of the value of large-scale genomic programmes for society, UK-FR-D+ GENE held an international workshop focusing on a variety of levels—societal, economic, clinical, scientific, and population-wide level—at which such benefits might be observed. First, the broader societal implications of large genome programmes and their impact for public trust were discussed. Second, the meaning of fair and just allocation of public resources, based on considerations of the economic costs and benefits of genomic innovations, was examined. Third, the benefits of these innovations for stakeholders (clinicians, patients, and families) at the clinical level were investigated. Fourth, the scope and limitations of genomics at the scientific level were discussed. Finally, the potential of genomics to improve health at the population level was explored. Providing an insight into the benefits of large genomic programmes on various levels, the workshop concluded by defining several criteria that should be considered to ensure benefits for society when implementing large genomic programmes.

    • Ruth Horn
    • Angeliki Kerasidou
    • Eva Winkler
    News & ViewsOpen Access
    European Journal of Human Genetics
    Volume: 33, P: 563-569
  • This paper reports on the findings of an international workshop organised by the UK-France+ Genomics and Ethics Network (UK-FR + GENE) in 2022. The focus of the workshop were the ethical and social issues raised by public-private partnerships in the context of large-scale genomics initiatives in France, Germany, the United Kingdom and Israel, i.e. collaborations where commercial entities are given access to publicly held genomic data. While the public sector relies on partnerships with commercial entities to exploit the full potential of the data it holds, such collaborations may have an impact on the return of benefits to the public sector and on public trust, and subsequently challenge the social contract. The first part of this paper explores the ways in which the four countries examined respond to the challenges posed to the social contract, and what safeguards they put in place to secure public trust. The second part presents three approaches to address the challenges of private-public partnerships in secondary data use. In conclusion, this paper offers a set of minimum requirements for these partnerships within solidarity-based publicly funded healthcare systems. These include the necessity of public-private partnerships to (1) contribute to the public benefit and minimise harm produced by the use of publicly held data; (2) avoid prioritisation of commercial interests over robust governance structures to guarantee benefits to the public and protect donors, especially marginalised groups; (3) side-step the pitfalls of the rhetoric of solidarity and be transparent about the challenges to return the benefits to ‘all’.

    • Ruth Horn
    • Jennifer Merchant
    • Eva Winkler
    News & ViewsOpen Access
    European Journal of Human Genetics
    Volume: 32, P: 736-741