Ignite Creation Date:
2024-05-06 @ 8:20 AM
Last Modification Date:
2024-10-26 @ 11:59 AM
Study NCT ID:
NCT02716870
Status:
UNKNOWN
Last Update Posted:
2020-06-25
First Post:
2016-03-02
Brief Title:
Meta-analyses of the Effect of Important Food Sources of Sugars on Cardiometabolic Risk Factors
Sponsor:
University of Toronto
Organization:
University of Toronto
Study Overview
Official Title:
Effect of Important Food Sources of Fructose-containing Sugars on Cardiometabolic Risk Factors A Series of Systematic Reviews and Meta-analyses of Controlled Trials to Inform Dietary Guidelines Public Health Policy and Future Trial Design
Status:
UNKNOWN
Status Verified Date:
2020-06
Last Known Status:
ACTIVE_NOT_RECRUITING
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
Fructose-containing sugars have been implicated in the epidemics of obesity diabetes and related cardiometabolic disorders This view is supported by lower quality evidence from ecological observations animal models and select human trials Higher level evidence from controlled trials and prospective cohort studies have been inconclusive Whether sugars contribute to cardiometabolic complications independent of their calories remains unclear To address the uncertainties the investigators propose to conduct a series of systematic reviews and meta-analyses of the totality of the evidence from controlled trials to distinguish the contribution of fructose-containing sugars from that of energy in the development of markers of cardiometabolic risk The findings generated by this proposed knowledge synthesis will help improve the health of consumers through informing evidence-based guidelines and improving health outcomes by educating healthcare providers and patients stimulating industry innovation and guiding future research design
Detailed Description:
Background Sugars have emerged as one of the most important public health concerns Attention has focused particularly on fructose-containing sugars fructose sucrose high fructose corn syrup honey etc which collectively have been indicted as drivers of various cardiometabolic complications This special view rests on the unique metabolic and endocrine responses to fructose Unlike glucose fructose is thought to bypasses negative feedback controls acting as an unregulated substrate for de novo lipogenesis and impair satiety signaling resulting in weight gain In support of these mechanisms animal models low-quality ecological studies and select human trials of overfeeding at levels of exposure far beyond population intakes have reported adverse metabolic effects of sugars Higher level evidence from systematic reviews and meta-analyses of controlled trials however suggests that any effects of sugars are mediated by excess calories rather than the sugars per se It remains unclear whether fructose-containing sugars contribute to cardiometabolic complications independent of their calories
Need for proposed research High quality systematic reviews and meta-analyses of controlled trials represent the highest level of evidence to support dietary guidelines and public health policy development As dietary guidelines and public health policy have shifted toward food and dietary-pattern based recommendations there is an urgent need for systematic reviews and meta-analyses comparing the role of different food sources of sugars in the development of cardiometabolic diseases
Objective The investigators will conduct a series systematic reviews and meta-analyses to distinguish the effect of fructose-containing sugars from that of energy on measures of cardiometabolic risk in controlled trials
Design Each systematic review and meta-analysis will be conducted according to the Cochrane Handbook for Systematic Reviews of Interventions and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses PRISMA
Data sources MEDLINE EMBASE and The Cochrane Central Register of Controlled Trials Clinical Trials CENTRAL will be searched using appropriate search terms supplemented by hand searches of references of included studies
Study selection The investigators will include randomized and non-randomized controlled trials 7-days in duration to assess the effect of fructose-containing sugars fructose sucrose high fructose corn syrup honey etc on measures of cardiometabolic risk To allow for the separation of the effect of sugars from that of energy 4 trial designs will be considered 1 substitution trials in which fructose-containing sugars added to foods and beverages are compared with other macronutrient sources usually starch or other sugars under energy matched conditions 2 addition trials in which fructose-containing sugars supplement a diet with excess energy compared to the same diet alone without the excess energy 3 subtraction trials in which energy from fructose-containing sugars usually in the form of sugars-sweetened beverages is reduced by displacing it with water andor no-calorie or low-calorie sweeteners or by eliminating it altogether from the background diet and 4 ad libitum trials in which energy from fructose-containing sugars are freely replaced with other sources of energy usually complex carbohydrates or fat without any strict control of either the study foods or the background diet Trials will be categorized by sources of fructose-containing sugars fruits fruit juices sugars-sweetened beverages liquid meal replacements dairy products sweetsdessertsbaked goods mixed sources and chi squared tests will be used to determine between-group differences
Data extraction Two or more investigators will independently extract relevant data and assess risk of bias using the Cochrane Risk of Bias Tool All disagreements will be resolved by consensus Standard computations and imputations will be used to derive missing variance data
Outcomes Five sets of outcomes will be assessed 1 glycemic control glycated blood proteins HbA1c fructosamine glycated albumin fasting glucose and fasting insulin 2 blood lipids Established therapeutic lipid targets LDL-cholesterol non-HDL-cholesterol apolipoprotein B apo B HDL-cholesterol triglycerides 3 blood pressure systolic blood pressure and diastolic blood pressure 4 uric acid 5 non-alcoholic fatty liver disease NAFLD intrahepatocellular lipids IHCL alanine aminotransferase ALT aspartate aminotransferase AST and inflammation c-reactive protein CRP IL-6 TNF-alpha
Data synthesis Mean differences will be pooled using the generic inverse variance method for each food source of fructose-containing sugars Random-effects models will be used even in the absence of statistically significant between-study heterogeneity as they yield more conservative summary effect estimates in the presence of residual heterogeneity Fixed-effects models will only be used where there is 5 included studies Paired analyses will be applied for crossover trials Heterogeneity will be assessed by the Cochran Q statistic and quantified by the I2 statistic To explore sources of heterogeneity the investigators will conduct sensitivity analyses in which each study is systematically removed If there are 10 studies then the investigators will also explore sources of heterogeneity by a priori subgroup analyses by age children 18 years of age adults health status metabolic syndrome criteria diabetes overweight obese healthy comparator type fructose- containing sugar form sucrose high fructose corn syrup HFCS honey fructose dose 10 energy 10 baseline measurements randomization study design parallel crossover energy balance positive neutral negative follow-up 8-weeks 8-weeks feeding control metabolic supplemented dietary advice funding agency industry agencyindustry not reported and risk of bias Meta-regression analyses will assess the significance of categorical and continuous subgroups analyses When 10 studies are available publication bias will be investigated by inspection of funnel plots and formal testing using the Egger and Begg tests If publication bias is suspected then the investigators will attempt to adjust for funnel plot asymmetry by imputing the missing study data using the Duval and Tweedie trim and fill method
Evidence Assessment The strength of the evidence for each outcome will be assessed using the Grading of Recommendations Assessment Development and Evaluation GRADE
Knowledge translation plan The results will be disseminated through interactive presentations at local national and international scientific meetings and publication in high impact factor journals Target audiences will include the public health and scientific communities with interest in nutrition diabetes obesity and cardiovascular disease Feedback will be incorporated and used to improve the public health message and key areas for future research will be defined ApplicantCo-applicant Decision Makers will network among opinion leaders to increase awareness and participate directly as committee members in the development of future guidelines
Significance The proposed project will aid in knowledge translation related to the role of dietary fructose-containing sugars and important food sources of these sugars in the development of cardiometabolic diseases strengthening the evidence-base for guidelines and improving health outcomes by educating healthcare providers and patients stimulating industry innovation and guiding future research design
Need for proposed research High quality systematic reviews and meta-analyses of controlled trials represent the highest level of evidence to support dietary guidelines and public health policy development As dietary guidelines and public health policy have shifted toward food and dietary-pattern based recommendations there is an urgent need for systematic reviews and meta-analyses comparing the role of different food sources of sugars in the development of cardiometabolic diseases
Objective The investigators will conduct a series systematic reviews and meta-analyses to distinguish the effect of fructose-containing sugars from that of energy on measures of cardiometabolic risk in controlled trials
Design Each systematic review and meta-analysis will be conducted according to the Cochrane Handbook for Systematic Reviews of Interventions and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses PRISMA
Data sources MEDLINE EMBASE and The Cochrane Central Register of Controlled Trials Clinical Trials CENTRAL will be searched using appropriate search terms supplemented by hand searches of references of included studies
Study selection The investigators will include randomized and non-randomized controlled trials 7-days in duration to assess the effect of fructose-containing sugars fructose sucrose high fructose corn syrup honey etc on measures of cardiometabolic risk To allow for the separation of the effect of sugars from that of energy 4 trial designs will be considered 1 substitution trials in which fructose-containing sugars added to foods and beverages are compared with other macronutrient sources usually starch or other sugars under energy matched conditions 2 addition trials in which fructose-containing sugars supplement a diet with excess energy compared to the same diet alone without the excess energy 3 subtraction trials in which energy from fructose-containing sugars usually in the form of sugars-sweetened beverages is reduced by displacing it with water andor no-calorie or low-calorie sweeteners or by eliminating it altogether from the background diet and 4 ad libitum trials in which energy from fructose-containing sugars are freely replaced with other sources of energy usually complex carbohydrates or fat without any strict control of either the study foods or the background diet Trials will be categorized by sources of fructose-containing sugars fruits fruit juices sugars-sweetened beverages liquid meal replacements dairy products sweetsdessertsbaked goods mixed sources and chi squared tests will be used to determine between-group differences
Data extraction Two or more investigators will independently extract relevant data and assess risk of bias using the Cochrane Risk of Bias Tool All disagreements will be resolved by consensus Standard computations and imputations will be used to derive missing variance data
Outcomes Five sets of outcomes will be assessed 1 glycemic control glycated blood proteins HbA1c fructosamine glycated albumin fasting glucose and fasting insulin 2 blood lipids Established therapeutic lipid targets LDL-cholesterol non-HDL-cholesterol apolipoprotein B apo B HDL-cholesterol triglycerides 3 blood pressure systolic blood pressure and diastolic blood pressure 4 uric acid 5 non-alcoholic fatty liver disease NAFLD intrahepatocellular lipids IHCL alanine aminotransferase ALT aspartate aminotransferase AST and inflammation c-reactive protein CRP IL-6 TNF-alpha
Data synthesis Mean differences will be pooled using the generic inverse variance method for each food source of fructose-containing sugars Random-effects models will be used even in the absence of statistically significant between-study heterogeneity as they yield more conservative summary effect estimates in the presence of residual heterogeneity Fixed-effects models will only be used where there is 5 included studies Paired analyses will be applied for crossover trials Heterogeneity will be assessed by the Cochran Q statistic and quantified by the I2 statistic To explore sources of heterogeneity the investigators will conduct sensitivity analyses in which each study is systematically removed If there are 10 studies then the investigators will also explore sources of heterogeneity by a priori subgroup analyses by age children 18 years of age adults health status metabolic syndrome criteria diabetes overweight obese healthy comparator type fructose- containing sugar form sucrose high fructose corn syrup HFCS honey fructose dose 10 energy 10 baseline measurements randomization study design parallel crossover energy balance positive neutral negative follow-up 8-weeks 8-weeks feeding control metabolic supplemented dietary advice funding agency industry agencyindustry not reported and risk of bias Meta-regression analyses will assess the significance of categorical and continuous subgroups analyses When 10 studies are available publication bias will be investigated by inspection of funnel plots and formal testing using the Egger and Begg tests If publication bias is suspected then the investigators will attempt to adjust for funnel plot asymmetry by imputing the missing study data using the Duval and Tweedie trim and fill method
Evidence Assessment The strength of the evidence for each outcome will be assessed using the Grading of Recommendations Assessment Development and Evaluation GRADE
Knowledge translation plan The results will be disseminated through interactive presentations at local national and international scientific meetings and publication in high impact factor journals Target audiences will include the public health and scientific communities with interest in nutrition diabetes obesity and cardiovascular disease Feedback will be incorporated and used to improve the public health message and key areas for future research will be defined ApplicantCo-applicant Decision Makers will network among opinion leaders to increase awareness and participate directly as committee members in the development of future guidelines
Significance The proposed project will aid in knowledge translation related to the role of dietary fructose-containing sugars and important food sources of these sugars in the development of cardiometabolic diseases strengthening the evidence-base for guidelines and improving health outcomes by educating healthcare providers and patients stimulating industry innovation and guiding future research design
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None