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Effect of low glycaemic index or load dietary patterns on glycaemic control and cardiometabolic risk factors in diabetes: systematic review and meta-analysis of randomised controlled trials.
BMJ. 2021 08 04; 374:n1651.BMJ

Abstract

OBJECTIVE

To inform the update of the European Association for the Study of Diabetes clinical practice guidelines for nutrition therapy.

DESIGN

Systematic review and meta-analysis of randomised controlled trials.

DATA SOURCES

Medline, Embase, and the Cochrane Library searched up to 13 May 2021.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

Randomised controlled trials of three or more weeks investigating the effect of diets with low glycaemic index (GI)/glycaemic load (GL) in diabetes.

OUTCOME AND MEASURES

The primary outcome was glycated haemoglobin (HbA1c). Secondary outcomes included other markers of glycaemic control (fasting glucose, fasting insulin); blood lipids (low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), non-HDL-C, apo B, triglycerides); adiposity (body weight, BMI (body mass index), waist circumference), blood pressure (systolic blood pressure (SBP) and diastolic blood pressure (DBP)), and inflammation (C reactive protein (CRP)).

DATA EXTRACTION AND SYNTHESIS

Two independent reviewers extracted data and assessed risk of bias. Data were pooled by random effects models. GRADE (grading of recommendations assessment, development, and evaluation) was used to assess the certainty of evidence.

RESULTS

29 trial comparisons were identified in 1617 participants with type 1 and 2 diabetes who were predominantly middle aged, overweight, or obese with moderately controlled type 2 diabetes treated by hyperglycaemia drugs or insulin. Low GI/GL dietary patterns reduced HbA1c in comparison with higher GI/GL control diets (mean difference −0.31% (95% confidence interval −0.42 to −0.19%), P<0.001; substantial heterogeneity, I2=75%, P<0.001). Reductions occurred also in fasting glucose, LDL-C, non-HDL-C, apo B, triglycerides, body weight, BMI, systolic blood pressure (dose-response), and CRP (P<0.05), but not blood insulin, HDL-C, waist circumference, or diastolic blood pressure. A positive dose-response gradient was seen for the difference in GL and HbA1c and for absolute dietary GI and SBP (P<0.05). The certainty of evidence was high for the reduction in HbA1c and moderate for most secondary outcomes, with downgrades due mainly to imprecision.

CONCLUSIONS

This synthesis suggests that low GI/GL dietary patterns result in small important improvements in established targets of glycaemic control, blood lipids, adiposity, blood pressure, and inflammation beyond concurrent treatment with hyperglycaemia drugs or insulin, predominantly in adults with moderately controlled type 1 and type 2 diabetes. The available evidence provides a good indication of the likely benefit in this population.

STUDY REGISTRATION

ClinicalTrials.gov NCT04045938.

Authors+Show Affiliations

Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada. Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada.Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada. Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada.Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada. Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada.Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada. Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada.Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada. Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada.No affiliation info availableDepartment of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada. Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada.Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada. Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada. Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada. Department of Medical Imaging, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada. Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada. Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada. Division of Endocrinology and Metabolism, Department of Medicine, St Michael's Hospital, Toronto, ON, Canada. Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada.Independent Nutrition Logic, Wymondham, UK.Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada. Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada. INQUIS Clinical Research, Toronto, ON, Canada.Vuk Vrhovac University Clinic for Diabetes, Endocrinology and Metabolic Diseases, Merkur University Hospital, Zagreb, Croatia. School of Medicine, University of Zagreb, Zagreb, Croatia. School of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia.Institute for Clinical and Experimental Medicine, Diabetes Centre, Prague, Czech Republic. Physicians Committee for Responsible Medicine, Washington, DC, USA.Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Unitat de Nutrició Humana, Reus, Spain. Institut d'Investigació Sanitària Pere Virgili, Hospital Universitari San Joan de Reus, Reus, Spain. Consorcio CIBER, MP Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada. Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada. College of Pharmacy and Nutrition, University of Saskatchewan, SK, Canada.Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada. Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St Michael's Hospital, Toronto, ON, Canada. Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada. Division of Endocrinology and Metabolism, Department of Medicine, St Michael's Hospital, Toronto, ON, Canada. Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada.

Pub Type(s)

Journal Article
Meta-Analysis
Research Support, Non-U.S. Gov't
Systematic Review

Language

eng

PubMed ID

34348965

Citation

Chiavaroli, Laura, et al. "Effect of Low Glycaemic Index or Load Dietary Patterns On Glycaemic Control and Cardiometabolic Risk Factors in Diabetes: Systematic Review and Meta-analysis of Randomised Controlled Trials." BMJ (Clinical Research Ed.), vol. 374, 2021, pp. n1651.
Chiavaroli L, Lee D, Ahmed A, et al. Effect of low glycaemic index or load dietary patterns on glycaemic control and cardiometabolic risk factors in diabetes: systematic review and meta-analysis of randomised controlled trials. BMJ. 2021;374:n1651.
Chiavaroli, L., Lee, D., Ahmed, A., Cheung, A., Khan, T. A., Blanco, S., Mejia, ., Mirrahimi, A., Jenkins, D. J. A., Livesey, G., Wolever, T. M. S., Rahelić, D., Kahleová, H., Salas-Salvadó, J., Kendall, C. W. C., & Sievenpiper, J. L. (2021). Effect of low glycaemic index or load dietary patterns on glycaemic control and cardiometabolic risk factors in diabetes: systematic review and meta-analysis of randomised controlled trials. BMJ (Clinical Research Ed.), 374, n1651. https://doi.org/10.1136/bmj.n1651
Chiavaroli L, et al. Effect of Low Glycaemic Index or Load Dietary Patterns On Glycaemic Control and Cardiometabolic Risk Factors in Diabetes: Systematic Review and Meta-analysis of Randomised Controlled Trials. BMJ. 2021 08 4;374:n1651. PubMed PMID: 34348965.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Effect of low glycaemic index or load dietary patterns on glycaemic control and cardiometabolic risk factors in diabetes: systematic review and meta-analysis of randomised controlled trials. AU - Chiavaroli,Laura, AU - Lee,Danielle, AU - Ahmed,Amna, AU - Cheung,Annette, AU - Khan,Tauseef A, AU - Blanco,Sonia, AU - Mejia,, AU - Mirrahimi,Arash, AU - Jenkins,David J A, AU - Livesey,Geoffrey, AU - Wolever,Thomas M S, AU - Rahelić,Dario, AU - Kahleová,Hana, AU - Salas-Salvadó,Jordi, AU - Kendall,Cyril W C, AU - Sievenpiper,John L, Y1 - 2021/08/04/ PY - 2021/8/5/entrez PY - 2021/8/6/pubmed PY - 2021/8/20/medline SP - n1651 EP - n1651 JF - BMJ (Clinical research ed.) JO - BMJ VL - 374 N2 - OBJECTIVE: To inform the update of the European Association for the Study of Diabetes clinical practice guidelines for nutrition therapy. DESIGN: Systematic review and meta-analysis of randomised controlled trials. DATA SOURCES: Medline, Embase, and the Cochrane Library searched up to 13 May 2021. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Randomised controlled trials of three or more weeks investigating the effect of diets with low glycaemic index (GI)/glycaemic load (GL) in diabetes. OUTCOME AND MEASURES: The primary outcome was glycated haemoglobin (HbA1c). Secondary outcomes included other markers of glycaemic control (fasting glucose, fasting insulin); blood lipids (low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), non-HDL-C, apo B, triglycerides); adiposity (body weight, BMI (body mass index), waist circumference), blood pressure (systolic blood pressure (SBP) and diastolic blood pressure (DBP)), and inflammation (C reactive protein (CRP)). DATA EXTRACTION AND SYNTHESIS: Two independent reviewers extracted data and assessed risk of bias. Data were pooled by random effects models. GRADE (grading of recommendations assessment, development, and evaluation) was used to assess the certainty of evidence. RESULTS: 29 trial comparisons were identified in 1617 participants with type 1 and 2 diabetes who were predominantly middle aged, overweight, or obese with moderately controlled type 2 diabetes treated by hyperglycaemia drugs or insulin. Low GI/GL dietary patterns reduced HbA1c in comparison with higher GI/GL control diets (mean difference −0.31% (95% confidence interval −0.42 to −0.19%), P<0.001; substantial heterogeneity, I2=75%, P<0.001). Reductions occurred also in fasting glucose, LDL-C, non-HDL-C, apo B, triglycerides, body weight, BMI, systolic blood pressure (dose-response), and CRP (P<0.05), but not blood insulin, HDL-C, waist circumference, or diastolic blood pressure. A positive dose-response gradient was seen for the difference in GL and HbA1c and for absolute dietary GI and SBP (P<0.05). The certainty of evidence was high for the reduction in HbA1c and moderate for most secondary outcomes, with downgrades due mainly to imprecision. CONCLUSIONS: This synthesis suggests that low GI/GL dietary patterns result in small important improvements in established targets of glycaemic control, blood lipids, adiposity, blood pressure, and inflammation beyond concurrent treatment with hyperglycaemia drugs or insulin, predominantly in adults with moderately controlled type 1 and type 2 diabetes. The available evidence provides a good indication of the likely benefit in this population. STUDY REGISTRATION: ClinicalTrials.gov NCT04045938. SN - 1756-1833 UR - https://www.unboundmedicine.com/medline/citation/34348965/Effect_of_low_glycaemic_index_or_load_dietary_patterns_on_glycaemic_control_and_cardiometabolic_risk_factors_in_diabetes:_systematic_review_and_meta_analysis_of_randomised_controlled_trials_ DB - PRIME DP - Unbound Medicine ER -