Diabetes Impact: Annotated Bibliography

Biondi, B., Kahaly, G. J., & Robertson, R. P. (2019). Thyroid dysfunction and diabetes mellitus: Two closely associated disorders. Endocrine Reviews, 40(3), pp. 789-824.

The goal of this study is to explain the effect of the interplay of the comorbidities: thyroid dysfunction (TD) and diabetes mellitus (DM). In the process of the current research, it was established that both hyperthyroid and hypothyroidism can impair the positive prognosis of diabetes and can complicate its management. For this reason, the researchers offered a set of recommendations for diabetes patients with TD.

The current knowledge of both types of diabetes was assessed; the study also touches upon the prevalence and possible linking mechanisms of these conditions. For instance, the risk of developing hypothyroidism at a young age is associated with poor diabetes management. This study offers extensive information on one of the most closely associated diseases with diabetes, which value for the project when assessing various risks that arise when diabetes is paired with other conditions. The researchers are all experts in their field, which leaves no questions about the credibility of this study.

Cole, J. B., & Florez, J. C. (2020). Genetics of diabetes mellitus and diabetes complications. Nature Reviews Nephrology, 16(7), pp. 377-390. Web.

The current research focuses primarily on diabetes from the point of view of genetics, which is beneficial for the project because this aspect was not discussed in other studies and diabetes is often transmitted between generations. The researchers focus on genetically-induced complications and the emergence of diabetes type 1 and type 2. As diabetes is known to cause long-term damage on both microvascular and macrovascular levels, the complications discussed in the paper include diabetic kidney disease, microalbuminuria, various instances of neuropathy and retinopathy, and others. A number of cardiovascular conditions are linked to a risk of a twofold to tenfold increase, depending on the condition and type of diabetes.

The research was conducted in accord with and as a consequence of the expansion of genomic datasets, which can be attributed to the rising numbers of diagnoses people worldwide – leading to the growth of biobanks and the acquirement of new cohorts. The present study is an attempt to group and classify the vast discoveries of diabetes complications that took place in recent years which is why it is a valuable source; the researchers are professional and credible.

Lehrke, M. & Marx, N. (2017). Diabetes mellitus and heart failure. The American Journal of Cardiology, 120(1), pp. 37-47.

Another frequent comorbidity to diabetes is heart failure (HF), which is the primary focus of this study. Individuals with diabetes were found to be 20 times more predisposed to developing heart failure in the future. A study matching 16 thousand people with and without diabetes was reviewed; greater risk for developing HF was found for patients with the condition. This research also addresses the possibilities of treatment and management techniques for diabetic patients with heart failure. An intervention involved with a significant change in lifestyle towards a more intensive one failed to improve the cardiovascular condition.

Glycemic control showed a small reduction of the predisposition to develop heart failure. SGLT2 inhibitors showed satisfactory results in lowering the risk of HF complications. Thus, as a result of trials, it was established that patients with diabetes exhibiting heart failure will benefit the most from the usage of SGLT2 inhibitors and glucose-reduction therapy. Both of the researchers are MDs and have done an extensive body of work on diabetes and this specific study will benefit the project because it reviews frequent comorbidity, heart failure.

Rowley, W. R., Bezold, C., Arikan, Y., Byrne, E., & Krohe, S. (2016). Diabetes 2030: Insights from yesterday, today, and future trends. Population Health Management, 20(1), pp. 6-12.

The study reviews diabetes from the perspective of the statistical trends in diabetes, the current state of this disease in America, and the future projections based on the data collected. During the process of assessment of diabetes’ potential estimates up to the year 2030, a number of studies were used – precisely, a modeling paper by Boyle et al. (2010) and a study by Dall (2014). The research team succeeded in determining a realistic trajectory for the state of this disease in the year 2025, with undiagnosed diabetes “slowly increasing to 40%” in adults (Rowley et al., 2016, p. 7). However, the greatest increase is estimated in diagnosed diabetes type 1 and type 2, which is expected to grow by 19 million, equivalent to 54% (Rowley et al., 2016, p. 7).

Despite these projections, the study has found a current decrease in new annual diabetes-related complications. The results are calculated using a wide range of sources; therefore, the predictions can be accessed to be very reliable. The researchers are credible; the study itself poses a significant value to the project as it gives a unique projection of diabetes statistical growth.

Zimmet, P., Alberti, K. G., Magliano, D. J., & Bennett, P. H. (2016). Diabetes mellitus statistics on prevalence and mortality: Facts and fallacies. Nature Reviews Endocrinology, 12(10), pp. 616–622. Web.

This particular research addresses the current problems that the international community is encountering when trying to reflect the state-of-the-art of diabetes prevalence worldwide. The researchers are assured that diabetes mellitus has been greatly underestimated as a health threat due to inadequate data measurement and a lack of resources for such measurement, particularly in developing nations. The history of diabetes treatment and study is also discussed. In this section, the authors critique diabetes classification, which they deem outdated and based on the old model from 1965 (Zimmet et al., 2016).

Overall, the methods used to measure and diagnose diabetes vary a lot and no universal standard was ever established, which is the main problem in assessing the impact it has on humanity. Thus, this study offers invaluable information about the failures in measurement and recording of data on diabetes which allow for a realistic reflection of the situation in the project. The authors are all credible researchers in the field and have done an extensive amount of research on diabetes.

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