Title |
Gestational diabetes mellitus—right person, right treatment, right time?
|
---|---|
Published in |
BMC Medicine, August 2017
|
DOI | 10.1186/s12916-017-0925-2 |
Pubmed ID | |
Authors |
Robert S. Lindsay, Sharon T. Mackin, Scott M. Nelson |
Abstract |
Personalised treatment that is uniquely tailored to an individual's phenotype has become a key goal of clinical and pharmaceutical development across many, particularly chronic, diseases. For type 2 diabetes, the importance of the underlying clinical heterogeneity of the condition is emphasised and a range of treatments are now available, with personalised approaches being developed. While a close connection between risk factors for type 2 diabetes and gestational diabetes has long been acknowledged, stratification of screening, treatment and obstetric intervention remains in its infancy. Although there have been major advances in our understanding of glucose tolerance in pregnancy and of the benefits of treatment of gestational diabetes, we argue that far more vigorous approaches are needed to enable development of companion diagnostics, and to ensure the efficacious and safe use of novel therapeutic agents and strategies to improve outcomes in this common condition. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 87 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 22 | 25% |
Student > Master | 9 | 10% |
Researcher | 7 | 8% |
Student > Doctoral Student | 5 | 6% |
Other | 5 | 6% |
Other | 10 | 11% |
Unknown | 29 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 19 | 22% |
Nursing and Health Professions | 13 | 15% |
Biochemistry, Genetics and Molecular Biology | 9 | 10% |
Computer Science | 2 | 2% |
Agricultural and Biological Sciences | 2 | 2% |
Other | 11 | 13% |
Unknown | 31 | 36% |