Meta-analysis of the Portfolio Dietary Pattern and Cardiometabolic Risk

May 21, 2018 updated by: John Sievenpiper, University of Toronto

Effect of a Portfolio Dietary Pattern on Cardiometabolic Risk: A Systematic Review and Meta-analysis of Controlled Trials

The European Association for the Study of Diabetes (EASD) guidelines have not made any specific recommendations regarding the Portfolio diet, a dietary pattern that includes nuts, viscous fibre, plant protein, and plant sterols. To update the recommendations, the Diabetes and Nutrition Study Group (DNSG) of the EASD commissioned a systematic review and meta-analysis using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach to summarize the available evidence from controlled trials of the effect of the Portfolio dietary pattern on LDL-cholesterol (LDL-C) and other established cardiometabolic risk factors.

Study Overview

Detailed Description

Background: The Portfolio Dietary Pattern, which includes nuts, viscous fiber, plant protein, and plant sterols, has been shown to have a cholesterol-lowering effect similar to that of early statin medications. Despite the endorsement of the Portfolio Dietary Pattern by major international diabetes and cardiovascular guidelines, the European Association for the Study of Diabetes (EASD) guidelines for nutrition therapy have not made any specific recommendations for the Portfolio Dietary Pattern. The present systematic review and meta-analysis using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach was thus commissioned by the Diabetes and Nutrition Study Group (DNSG) of the EASD to summarize the available evidence from controlled trials of the effect of the Portfolio dietary pattern on LDL-cholesterol (LDL-C) and other established cardiometabolic risk factors.

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 a need for a systematic review and meta-analysis assessing the pooled effect of the Portfolio Dietary Pattern trials on cholesterol and cardiometabolic risk factors.

Objective: The investigators will conduct a systematic review and meta-analysis to summarize the effect of a Portfolio Dietary Pattern compared to control on lipids and other cardiometabolic risk factors in controlled clinical trials.

Design: The 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 will be searched using appropriate search terms supplemented by hand searches of references of included studies. Authors will be contacted for applicable missing data.

Study selection: The investigators will include controlled dietary trials. Randomized and non-randomized controlled trials will be included if they are >= 4 weeks duration and assess the effect of the Portfolio Dietary Pattern on cholesterol and cardiometabolic risk factors compared to a control diet.

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: The primary outcome of the systematic review and meta-analysis will be the established lipid target for cardiovascular risk reduction, LDL-C. Secondary outcomes will include other blood lipids (total-C, triglycerides, HDL-C, non-HDL-C, apolipoprotein B (apo B)), adiposity (body weight), inflammation (C-reactive protein), blood pressure (systolic and diastolic blood pressure (BP)), glycemic control (HbA1c, fasting plasma glucose, fasting blood insulin), and the Framingham risk score for the estimation of 10 year coronary heart disease (CHD) risk.

Data synthesis: Mean differences and standardized mean differences will be pooled for the outcomes noted using the generic inverse variance method. 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 be considered where there are <5 included studies and large precise trials are being combined with smaller imprecise trials. 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. A sensitivity analysis will also be conducted comparing trials where food was provided with trials where participants received dietary advice, but not provided food. 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/diabetes, overweight, normal weight), comparator, baseline measurements, randomization, study design (parallel, crossover), follow-up (=<8-weeks, >8-weeks), 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. 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 the Portfolio Dietary Pattern in cholesterol-lowering and cardiometabolic risk, 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 Type

Observational

Enrollment (Anticipated)

1

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Ontario
      • Toronto, Ontario, Canada, M5C 2T2
        • The Toronto 3D (Diet, Digestive tract and Disease) Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Micheal's Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • ADULT
  • OLDER_ADULT
  • CHILD

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

All individuals, both children and adults, regardless of health status.

Description

Inclusion Criteria:

  • Trials in humans
  • Randomized and non-randomized controlled trials
  • Assessment of the portfolio dietary pattern in comparison to caloric- and macronutrient-matched diets that were not intended to provide components of the portfolio dietary pattern
  • Diet duration ≥ 4 week
  • Viable outcome data with ≥ 1 outcome of interest

Exclusion Criteria:

  • Non-human trials
  • Observational studies
  • Lack of suitable comparator diet
  • Diet duration <4 weeks
  • No viable outcome data

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Intervention
A Portfolio Dietary Pattern involving a combination of 4 cholesterol lowering foods, namely: plant sterols, viscous fibre, plant protein, and nuts.

Portfolio Dietary Pattern consisting of 4 food components, including:

  1. plant sterols (sterol-enriched margarine or supplement)
  2. viscous soluble fibres (oats, barley, psyllium, eggplant, okra, etc)
  3. plant protein (soy products and pulses), and
  4. nuts (tree nuts and peanuts)
Other Names:
  • Dietary Portfolio
  • Portfolio Diet
A low saturated fat, low cholesterol diet.
Control
A National Cholesterol Education Program (NCEP) based diet, a diet low in saturated fat and cholesterol.
A low saturated fat, low cholesterol diet.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Blood lipids - LDL-C
Time Frame: Up to 20 years
Up to 20 years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Blood lipids - Total-C
Time Frame: Up to 20 years
Up to 20 years
Blood lipids - HDL-C
Time Frame: Up to 20 years
Up to 20 years
Blood lipids - non-HDL-C
Time Frame: Up to 20 years
Up to 20 years
Blood lipids - triglycerides
Time Frame: Up to 20 years
Up to 20 years
Blood lipids - Apolipoprotein B (apo B)
Time Frame: Up to 20 years
Up to 20 years
Adiposity - body weight
Time Frame: Up to 20 years
Up to 20 years
Inflammation - C-reactive protein
Time Frame: Up to 20 years
Up to 20 years
Blood pressure - systolic blood pressure
Time Frame: Up to 20 years
Up to 20 years
Blood pressure - diastolic blood pressure
Time Frame: Up to 20 years
Up to 20 years
Glycemic control - fasting blood glucose
Time Frame: Up to 20 years
Up to 20 years
Glycemic control - fasting blood insulin
Time Frame: Up to 20 years
Up to 20 years
Glycemic control - HbA1c
Time Frame: Up to 20 years
Up to 20 years
Coronary heart disease (CHD) risk
Time Frame: Up to 10 years
Change in estimated 10 year coronary heart disease (CHD) risk by the Framingham Risk Score (FRS), % (range, 0-100%)
Up to 10 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: John Sievenpiper, MD, PhD, University of Toronto

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (ACTUAL)

January 1, 2018

Primary Completion (ANTICIPATED)

August 1, 2018

Study Completion (ANTICIPATED)

October 1, 2018

Study Registration Dates

First Submitted

May 8, 2018

First Submitted That Met QC Criteria

May 21, 2018

First Posted (ACTUAL)

May 23, 2018

Study Record Updates

Last Update Posted (ACTUAL)

May 23, 2018

Last Update Submitted That Met QC Criteria

May 21, 2018

Last Verified

May 1, 2018

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

This is not applicable since there is no individual participant data.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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