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Showing 51–61 of 61 results
Advanced filters: Author: Viswanathan Mohan Clear advanced filters

  • Jacobsen, Sherr et al. evaluate the utility of novel technologies in the treatment of type 1 diabetes. Their systematic review finds technologies such as continuous glucose monitoring, insulin pumps, and decision support tools improve important measures (e.g., HbA1c, time in range, quality of life) allowing precision-directed uptake of technology.

    • Laura M. Jacobsen
    • Jennifer L. Sherr
    • Paul W. Franks
    ResearchOpen Access
    Communications Medicine
    Volume: 3, P: 1-24

  • 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

  • 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

  • Young, McInnes, Massey et al. systematically review published studies evaluating features associated with heterogenous treatment effects for SGLT2-inhibitor and GLP1-receptor agonist therapies in people with type 2 diabetes. They find limited current evidence on treatment effect heterogeneity, for glycaemic, cardiovascular and renal outcomes.

    • Katherine G. Young
    • Eram Haider McInnes
    • Paul W. Franks
    ResearchOpen Access
    Communications Medicine
    Volume: 3, P: 1-20

  • 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

  • In an inter-laboratory study, the authors compare the accuracy and performance of three optical density calibration protocols (colloidal silica, serial dilution of silica microspheres, and colony-forming unit (CFU) assay). They demonstrate that serial dilution of silica microspheres is the best of these tested protocols, allowing precise and robust calibration that is easily assessed for quality control and can also evaluate the effective linear range of an instrument.

    • Jacob Beal
    • Natalie G. Farny
    • Jiajie Zhou
    ResearchOpen Access
    Communications Biology
    Volume: 3, P: 1-29