MEM. Evans

M. Evans

*This is an algorithmically generated author record based on publicly available information.

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Previous Organizations / Institutes

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M. Evans has a total of 9 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Dietary protein affects both the dose and pattern of insulin delivery required to achieve postprandial euglycaemia in Type 1 diabetes: a randomized trial

    by M. Evans, C. E. M. Smart, N. Paramalingam, G. J. Smith, T. W. Jones, B. R. King, E. A. Davis

    Aim: To quantify the insulin requirement for a high‐protein meal compared with a low‐protein meal, controlling for carbohydrate and fat content.Methods: In this crossover study, young people with Type 1 diabetes were randomized to consume a high‐ (60 g) or low‐protein meal (5 g), each containing 30 g carbohydrate and 8 g fat. A variation of the insulin clamp technique was used to determine the insulin requirements to maintain euglycaemia for the following 5 h.Results: A total of 11 participants (mean ± sd age 16.5 ± 2.7 years, HbA1c 52 ± 8.7 mmol/mol [6.9 ± 0.8%], diabetes duration 6.9±5.1 years) completed the study. The mean insulin requirements for the high‐protein meal were higher than for the low‐protein meal [10.3 (CI 8.2, 12.57) vs 6.7 units (CI 4.7, 8.8); P=0.001], with inter‐individual requirements ranging from 0.9 to six times the low‐protein meal requirement. Approximately half the additional insulin [1.1 units/h (CI 0.5, 1.8; P=0.001)] was given in the first 2 h, compared with an additional 0.5 units/h (CI –0.2, 1.2; P=0.148) in the second 2 h and 0.1 units (CI –0.6, 0.8; P=0.769) in the final hour.Conclusions: A high‐protein meal requires ~50% more insulin to maintain euglycaemia than a low‐protein meal that contains the same quantity of carbohydrate. The majority is required within the first 2 h. Inter‐individual differences exist in insulin requirements for dietary protein.


  • A randomized comparison of three prandial insulin dosing algorithms for children and adolescents with Type 1 diabetes

    by P. E. Lopez, M. Evans, B. R. King, T. W. Jones, K. Bell, P. McElduff, E. A. Davis, C. E. Smart

    Aim: To compare systematically the impact of two novel insulin‐dosing algorithms (the Pankowska Equation and the Food Insulin Index) with carbohydrate counting on postprandial glucose excursions following a high fat and a high protein meal.Methods: A randomized, crossover trial at two Paediatric Diabetes centres was conducted. On each day, participants consumed a high protein or high fat meal with similar carbohydrate amounts. Insulin was delivered according to carbohydrate counting, the Pankowska Equation or the Food Insulin Index. Subjects fasted for 5 h following the test meal and physical activity was standardized. Postprandial glycaemia was measured for 300 min using continuous glucose monitoring.Results: 33 children participated in the study. When compared to carbohydrate counting, the Pankowska Equation resulted in lower glycaemic excursion for 90–240 min after the high protein meal (p < 0.05) and lower peak glycaemic excursion (p < 0.05). The risk of hypoglycaemia was significantly lower for carbohydrate counting and the Food Insulin Index compared to the Pankowska Equation (OR 0.76 carbohydrate counting vs. the Pankowska Equation and 0.81 the Food Insulin Index vs. the Pankowska Equation). There was no significant difference in glycaemic excursions when carbohydrate counting was compared to the Food Insulin Index.Conclusion: The Pankowska Equation resulted in reduced postprandial hyperglycaemia at the expense of an increase in hypoglycaemia. There were no significant differences when carbohydrate counting was compared to the Food Insulin Index. Further research is required to optimize prandial insulin dosing.