1
Quantitative Article Critique 2
Libman, I. M., Miller, K. M., DiMeglio, L. A., Bethin, K. E., Katz, M. L., Shah, A., Simmons, J.
H., Haller, M. J., Raman, S., Tamborlane, W. V., Coffey, J. K., Saenz, A. M., Beck, R.
W., & Nadeau, K. J. (2015). Effect of metformin added to insulin on glycemic control
among overweight/Obese adolescents with type 1 diabetes. JAMA, 314(21), 2241.
https://doi.org/10.1001/jama.2015.16174
This journal article explores the efficacy and safety of metformin as an adjunct to insulin
in treating overweight adolescents with type 1 diabetes. The authors cite the inconclusive nature
of previous studies addressing the same subject and highlight the need for evidence-based
supportive inferences to necessitate using metformin in pharmacotherapy addressing obesity and
diabetes. Indeed, some pharmacological studies are inconclusive and shallow, hindering efficacy
in treating different infections with certainty. The correlation between diabetes and obesity
requires in-depth and specific research to highlight gaps in practice and knowledge and help in
this critical infections management. The research adopts a quantitative research design because
attaining the research purpose requires measurements, statistical analysis, and computations to
generate informative figures and statistics. Besides setting the exclusion criteria to guide the
purposive sampling approach, the authors ensure that the participants uphold racial and gender
inclusivity, implying the generalizability of research findings and inferences. Random sampling
determines the participants' reliance on placebo or the metformin dosage within the
experimentation period, building research validity and reliability. Measurements are made
before, throughout, and after the intervention to assess the weight loss among the patients, with
the collated data serving as input in statistical models to derive findings in figures and statistics.
The results imply that adding metformin did not improve glycemic control over the stipulated