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Treatment of clinical insulin resistance in children: a systematic review
Author(s) -
Quinn S. M.,
Baur L. A.,
Garnett S. P.,
Cowell C. T.
Publication year - 2010
Publication title -
obesity reviews
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.845
H-Index - 162
eISSN - 1467-789X
pISSN - 1467-7881
DOI - 10.1111/j.1467-789x.2009.00697.x
Subject(s) - medicine , insulin resistance , metformin , confidence interval , placebo , insulin , body mass index , diabetes mellitus , population , type 2 diabetes , randomized controlled trial , clinical trial , endocrinology , alternative medicine , environmental health , pathology
Summary The objective of this study was to evaluate the effectiveness of interventions aimed at improving clinical insulin resistance and/or pre‐diabetes in children. This study is a systematic review and meta‐analysis. Five electronic databases were searched for randomized controlled trials of at least 2‐months' duration. The outcomes were fasting insulin, homeostasis model assessment of insulin resistance (HOMA‐IR), body mass index (BMI) and adverse outcomes. Four randomized controlled trials were identified. All compared the effect of 6 months of metformin plus or minus lifestyle intervention with placebo plus or minus lifestyle intervention. After pooling results from three trials, the mean difference after 6 months favoured the intervention with a statistically significant mean decrease in fasting insulin, HOMA‐IR and BMI of 9.6 µU mL −1 (95% confidence interval [CI]: 6.3, 13.0 µU mL −1 ; I 2 = 76%), 2.7 (95% CI: 1.7, 3.6; I 2 = 74%) and 1.7 kg m −2 (95% CI: 1.1, 2.3 kg m −2 ; I 2 = 75) respectively. Mild gastrointestinal symptoms were reported in 19% (2–29%; median and range) of participants taking metformin. Metformin improves markers of insulin sensitivity and reduces BMI in children and adolescents with clinical insulin resistance or pre‐diabetes. Stronger evidence from high‐quality studies of longer duration and larger sample size are required before clinical conclusions about the optimal treatment protocol in this population can be drawn.