Time in Range for Multiple Technologies in Type 1 Diabetes: A Systematic Review and Network Meta-analysis.

BACKGROUND: Time in range is a key glycemic metric, and comparisons of management technologies for this outcome are critical to guide device selection. PURPOSE: We conducted a systematic review and network meta-analysis to compare and rank technologies for time in glycemic ranges. DATA SOURCES: We searched Evidenced-Based Medicine Reviews, CINAHL, Embase, MEDLINE, MEDLINE In-Process & Other Non-Indexed Citations, PROSPERO, PsycInfo, PubMed, and Web of Science until 24 April 2019. STUDY SELECTION: We included randomized controlled trials ≥2 weeks' duration comparing technologies for management of type 1 diabetes in adults (≥18 years of age), excluding pregnant women. DATA EXTRACTION: Data were extracted using a predefined template. Outcomes were percent time with sensor glucose levels 3.9-10.0 mmol/L (70-180 mg/dL), >10.0 mmol/L (180 mg/dL), and <3.9 mmol/L (70 mg/dL). DATA SYNTHESIS: We identified 16,772 publications, of which 14 eligible studies compared eight technologies comprising 1,043 participants. Closed-loop systems led to greater percent time in range than any other management strategy, and mean percent time in range was 17.85 (95% predictive interval 7.56-28.14) longer than with usual care of multiple daily injections with capillary glucose testing. Closed-loop systems ranked best for percent time in range or above range with use of Surface Under the Cumulative RAnking curve (SUCRA) (98.5% and 93.5%, respectively). Closed-loop systems also ranked highly for time below range (SUCRA 62.2%). LIMITATIONS: Overall risk of bias ratings were moderate for all outcomes. Certainty of evidence was very low. CONCLUSIONS: In the first integrated comparison of multiple management strategies considering time in range, we found that the efficacy of closed-loop systems appeared better than all other approaches.

The Efficacy of Technology in Type 1 Diabetes: A Systematic Review, Network Meta-analysis, and Narrative Synthesis.

Background: Existing technologies for type 1 diabetes have not been compared against the full range of alternative devices. Multiple metrics of glycemia and patient-reported outcomes for evaluating technologies also require consideration. We thus conducted a systematic review, network meta-analysis, and narrative synthesis to compare the relative efficacy of available technologies for the management of type 1 diabetes. Methods: We searched MEDLINE, MEDLINE In-Process and other nonindexed citations, EMBASE, PubMed, All Evidence-Based Medicine Reviews, Web of Science, PsycINFO, CINAHL, and PROSPERO (inception-April 24, 2019). We included RCT ≥6 weeks duration comparing technologies for type 1 diabetes management among nonpregnant adults (>18 years of age). Data were extracted using a predefined tool. Primary outcomes were A1c (%), hypoglycemia rates, and quality of life (QoL). We estimated mean difference for A1c and nonsevere hypoglycemia, rate ratio for severe hypoglycemia, and standardized mean difference for QoL in network meta-analysis with random effects. Results: We identified 16,772 publications, of which 52 eligible studies compared 12 diabetes management technologies comprising 3,975 participants in network meta-analysis. Integrated insulin pump and continuous glucose monitoring (CGM) systems with low-glucose suspend or hybrid closed-loop algorithms resulted in A1c levels 0.96% (predictive interval [95% PrI] 0.04-1.89) and 0.87% (95% PrI 0.12-1.63) lower than multiple daily injections with either flash glucose monitoring or capillary glucose testing, respectively. In addition, integrated systems had the best ranking for A1c reduction utilizing the surface under the cumulative ranking curve (SUCRA-96.4). While treatment effects were nonsignificant for many technology comparisons regarding severe hypoglycemia and QoL, simultaneous evaluation of outcomes in cluster analyses as well as narrative synthesis appeared to favor integrated insulin pump and continuous glucose monitors. Overall risk of bias was moderate-high. Certainty of evidence was very low. Conclusions: Integrated insulin pump and CGM systems with low-glucose suspend or hybrid closed-loop capability appeared best for A1c reduction, composite ranking for A1c and severe hypoglycemia, and possibly QoL. Registration: PROSPERO, number CRD42017077221.

Management of bone health in women with premature ovarian insufficiency: Systematic appraisal of clinical practice guidelines and algorithm development.

BACKGROUND: Osteoporosis is a key concern of women with premature ovarian insufficiency (POI) but there are gaps in clinicians' knowledge of bone health. OBJECTIVES: 1) To systematically evaluate the quality of clinical practice guidelines (CPGs) related to POI and bone health; 2) to formulate a management algorithm. METHODS: Systematic search for English-language clinical practice guidelines (CPGs) from August 2012 to August 2017 (PROSPERO registration number CRD42017075143). Four reviewers independently evaluated the methodological quality of included CPGs using the Appraisal of Guidelines for Research and Evaluation II (AGREE II) instrument (comprising 23 items across 6 domains) using the My AGREE PLUS platform. Inter-rater reliability was assessed using the intraclass correlation coefficient (ICC). Individual domain and total percentage scores were calculated for each CPG. Data from high-scoring CPGs were extracted and summarised to develop the algorithm, with subsequent refinement via expert and end-user clinician feedback. RESULTS: The systematic search yielded 16 CPGs for appraisal. ICC values were 0.71 (good) to 0.95 (very good). The quality of the CPGs was appraised as "high" in 4 cases, "average" in 8 and "low" in 4. High-quality CPGs had mean total scores of 82-96%. Recommendations from high-quality CPGs were summarised into 6 categories: screening; risk factors; initial assessment; diagnosis; subsequent assessment; and management. Only "management" had recommendations (moderate-quality to low-quality evidence) from all four high-quality CPGs. Limitations are reflected in the algorithm. CONCLUSIONS: Most CPGs regarding bone health and POI are of average to poor quality. High-quality CPGs have evidence limitations and recommendation gaps indicating the need for further research.

Consumption of diets with low advanced glycation end products improves cardiometabolic parameters: meta-analysis of randomised controlled trials.

Studies examining the effects of consumption of diets low in advanced glycation end products (AGEs) on cardiometabolic parameters are conflicting. Hence, we performed a meta-analysis to determine the effect of low AGE diets in reducing cardiometabolic risk factors. Seventeen randomised controlled trials comprising 560 participants were included. Meta-analyses using random effects models were used to analyse the data. Low AGE diets decreased insulin resistance (mean difference [MD] -1.3, 95% CI -2.3, -0.2), total cholesterol (MD -8.5 mg/dl, 95% CI -9.5, -7.4) and low-density lipoprotein (MD -2.4 mg/dl, 95% CI -3.4, -1.3). There were no changes in weight, fasting glucose, 2-h glucose and insulin, haemoglobin A1c, high-density lipoprotein or blood pressure. In a subgroup of patients with type 2 diabetes, a decrease in fasting insulin (MD -7 µU/ml, 95% CI -11.5, -2.5) was observed. Tumour necrosis factor α, vascular cell adhesion molecule-1, 8-isoprostane, leptin, circulating AGEs and receptor for AGEs were reduced after consumption of low AGE diets with increased adiponectin and sirtuin-1. Our findings suggest that diets low in AGEs may be an effective strategy for improving cardiometabolic profiles in individuals with and without type 2 diabetes.