Meta-analysis of Fish Oil Supplementation and Cardiovascular Outcomes in Diabetes
NCT ID: NCT04327713
Last Updated: 2020-11-04
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
1 participants
OBSERVATIONAL
2020-03-28
2021-04-30
Brief Summary
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Detailed Description
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Need for proposed research: There is an urgent need for a synthesis of the evidence of the effect of fish oil supplementation on cardiovascular outcomes in people with diabetes to inform the update of the EASD clinical practice guidelines for nutrition therapy. High quality systematic reviews and meta-analyses of randomized controlled trials with assessment of the certainty of the evidence using GRADE provide the strongest form of evidence synthesis to support clinical practice guidelines and public health policy development.
Objective: To inform the update of the European Association for the Study of Diabetes (EASD) clinical practice guidelines for nutrition therapy, the investigators will conduct a systematic review and meta-analysis of randomized controlled trials of the effect of fish oil supplementation on cardiovascular outcomes in people with diabetes and use the GRADE approach to assess the certainty of the evidence.
Design: The planning and conduct of the proposed meta-analyses will follow the Cochrane handbook for systematic reviews of interventions. The reporting will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
Data sources: MEDLINE, EMBASE, and The Cochrane Central Register of Controlled Trials databases will be searched using appropriate search terms supplemented by hand searches of references of included studies.
Study selection: Randomized controlled trials conducted in humans with a follow-up duration ≥ 52 weeks investigating the effect of fish oil supplementation compared to placebo on cardiovascular outcomes will be included. Eligible studies will be conducted in people with diabetes or contain data from a subgroup of people with diabetes. Studies that are not randomized, have a shorter duration (\<52 weeks), use multi-modal interventions that do not allow for the isolation of the effect of fish oil supplementation, provide fish oil in the form of a prescription pharmaceutical drug (e.g. icopsant ethyl), lack a suitable control group/comparator, are not conducted in people with diabetes, and/or do not report viable cardiovascular outcomes data will be excluded.
Data extraction: Two investigators will independently extract relevant data and assess risk of bias using the Cochrane Risk of Bias tool Version 2. Events and total participants in intervention group and control groups will be extracted. When avaialble, risk ratios, odds ratios and hazard ratios for clinical outcomes will be extracted or derived from clinical event data across exposure to either fish oil supplementation or placebo. All disagreements will be resolved by consensus. Corresponding authors of relevant publications will be asked for additional data if needed.
Outcomes: The primary outcome will be total CVD incidence. Secondary outcomes will be major adverse cardiovascular events (MACE), CVD mortality, all-cause mortality, coronary heart disease (CHD) incidence, CHD mortality, MI incidence, stroke incidence, and arrhythmia.
Data synthesis: Risk ratios of clinical outcomes using total events and number of people in intervention and control groups will be calculated for each RCT. Reported relative ratio measures will be used for studies not reporting raw numbers and hazard ratio and odds ratios will be considered equivalent to risk ratios.
Data will be pooled using the Mantel-Haenszel method with random effects models. Results will be reported as pooled risk ratios with 95% confidence intervals (95% CI). Heterogeneity will be assessed by the Cochrane Q statistic and quantified by the I2 statistic with I2\>50% and P(Q) \<0.1 considered evidence of substantial heterogeneity.
If there are ≥10 trials, a priori subgroup analyses will be undertaken to explore sources of heterogeneity including sex, age, type of diabetes (type 1 or type 2 diabetes), prevention type (primary, secondary), intervention type (supplements, supplemented foods, dietary advice), comparator, study design, follow-up duration,baseline glycemic control, risk of bias, funding source. Significant unexplained heterogeneity will be investigated by additional post hoc subgroup analyses. Meta-regression analyses will assess the significance of subgroups analyses.
Sensitivity analysis will be performed by removing one study at a time. A study will be considered influential if it changes the direction or significance of effect and/or heterogeneity.
If there are ≥10 trials, publication bias will be assessed by the inspection of funnel plots and using Begg's and Egger's tests. If publication bias is suspected, we 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 certainty of the evidence for each outcome will be assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach.
Knowledge translation plan: The results will be disseminated through talks or posters at regional, national, and international scientific meetings and publication in high impact factor journals. We will target public health and scientific communities interested in nutrition, cardiovascular diseases and diabetes. Their feedback will be incorporated in order to improve the public health message and to define key areas for future research.
Applicant/Co-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 fish oil supplementation in the prevention of cardiovascular diseases in the high-risk group of T2DM patients, strengthening the evidence-base for guidelines and improving health outcomes by educating healthcare providers and patients, stimulating industry innovation, and guiding future research design.
Conditions
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Study Design
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OTHER
PROSPECTIVE
Study Groups
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fish oil supplementation
fish oil supplementation, usually capsules with a defined content of EPA and DHA
dosage and duration of intervention differ between the included studies of our meta-analysis
fish oil supplement
daily fish oil supplement vs. placebo
placebo supplementation
placebo supplementation, usually capsules with a defined content of non-fish oil or other components
content, dosage and duration of intervention differ between the included studies of our meta-analysis
fish oil supplement
daily fish oil supplement vs. placebo
Interventions
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fish oil supplement
daily fish oil supplement vs. placebo
Eligibility Criteria
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Inclusion Criteria
* Participants with diabetes
* Follow-up duration ≥ 52 weeks
* Intervention involves fish oil supplementation using supplements, supplemented foods, or dietary advice
* Control group
* Ascertainment of at least one cardiovascular outcome
Exclusion Criteria
* Participants without diabetes
* Follow-up duration \<52 weeks
* Multi-modal interventions
* Interventions of fish oils in the form of a prescription pharmaceutical drug (e.g. icosapent ethyl)
* Lack of a suitable control group (e.g. fish oil containing comparator)
* No viable cardiovascular outcome data.
18 Years
ALL
No
Sponsors
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Diabetes and Nutrition Study Group (DNSG) of the European Association for the Study of Diabetes (EASD)
UNKNOWN
Canadian Institutes of Health Research (CIHR)
OTHER_GOV
Diabetes Canada
OTHER
University of Toronto
OTHER
Responsible Party
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John Sievenpiper
Associate Professor
Principal Investigators
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John L Sievenpiper, MD,PhD,FRCPC
Role: PRINCIPAL_INVESTIGATOR
University of Toronto
Locations
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Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital
Toronto, Ontario, Canada
Countries
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Other Identifiers
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DNSG-Fish oil
Identifier Type: -
Identifier Source: org_study_id