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population  exposed  to  prolonged  periods  of  damaging  hyper-
          glycaemia.  There is now a consensus  that further insight into the differences
                    34
          between people with T2DM, both physiologic and genetic, should not
          only help elucidate the pathogenesis of this disease, but lead to indi-
          vidualised treatments for patients that will improve glycaemic control,
          maximise individual benefit, minimise risk, reduce diabetes complica-
          tions, and ultimately provide reductions in global health cost.  The re-
                                                                     34
          cent consensus published in the Journal of Clinical Endocrinology and
          Metabolism (Smith et al., 2010) makes a series of recommendations for
          increasing understanding of the heterogeneity of T2DM and achieving
          the goal of individualising therapy and improving treatment response
          (Table 1). 34


          Table 1. Recommendations for individualising therapies in T2DM based on patient charac-
          teristics. 34

          Recommendation         Specific details
          Extend analysis of existing   •  There are already a plethora of data and data sources
          data and data sources    that could be potentially valuable in individualising
                                   therapy; however, to date, these have been largely under-
                                   utilised.
                                 •  Pooled analyses or meta-analyses of such data may
                                   provide important insights into the relative effectiveness of
                                   specific interventions in subgroups of patients with T2DM
                                   and advance our understanding of individualised therapy.
          Expand existing or develop   •  All new and existing diabetes registries should systemati-
          new data registries      cally collect data to address phenotypic and genetic het-
                                   erogeneity measures.
                                 •  Not only should these registries collect material for future
                                   biomarker and genetic analysis, but registries should
                                   be designed to specifically address the heterogeneity of
                                   diabetes with hypotheses generated by examining exist-
                                   ing data.
          Develop new clinical trials  •  Future randomised studies of diabetes therapies should,
                                   by design, collect phenotypic information relevant to re-
                                   sponse to therapy.
          Develop new technologies  •  Targeting therapy toward more appropriate subgroups of
                                   patients will require increasingly accurate and efficient
                                   methods to measure markers for diabetes heterogeneity
                                   and heterogeneous response to treatment.
          Expand basic research  •  Basic research is needed to explore numerous fundamen-
                                   tal issues that underlie the heterogeneous response to
                                   diabetes therapies.










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