Evidence mapPaperPMID 36796437Full record

SynthesisAdvances in nutrition (Bethesda, Md.)2023

Efficacy of Dietary Polyphenols from Whole Foods and Purified Food Polyphenol Extracts in Optimizing Cardiometabolic Health: A Meta-Analysis of Randomized Controlled Trials.

Tonny Kiyimba, Peter Yiga, Michael Bamuwamye, Patrick Ogwok, Bart Van der Schueren, Christophe Matthys

Open access · hybridAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Advances in nutrition (Bethesda, Md.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

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  4. Feasibility of lifestyle interventions for cognition in adults with low education.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Tonny KiyimbaDepartment of Food Science and Technology, Kyambogo University, Kampala, Uganda; Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium.
Peter YigaDepartment of Food Science and Technology, Kyambogo University, Kampala, Uganda; Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium.
Michael BamuwamyeDepartment of Food Science and Technology, Kyambogo University, Kampala, Uganda.
Patrick OgwokDepartment of Food Science and Technology, Kyambogo University, Kampala, Uganda.
Bart Van der SchuerenClinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium; Department of Endocrinology, University Hospitals Leuven, Leuven, Belgium.
Christophe MatthysClinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium; Department of Endocrinology, University Hospitals Leuven, Leuven, Belgium. Electronic address: christophe.matthys@uzleuven.be.
Kyambogo University · UGKU Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evidence from clinical trials concerning the efficacy of dietary polyphenols on cardiometabolic health is divergent. Therefore, this review aimed to determine the pooled effect of dietary polyphenols on cardiometabolic risk markers and compare the difference in efficacy between whole polyphenol-rich foods and purified food polyphenol extracts. We conducted a random-effect model meta-analysis of randomized controlled trials (RCTs) on the effect of polyphenols on blood pressure, lipid profile, flow-mediated dilation (FMD), fasting blood glucose (FBG), waist circumference, and markers of inflammation. Effect size was expressed as weighted mean difference and 95% CI. RCTs published in English between 2000 and 2021 involving adult participants with cardiometabolic risks were searched in electronic databases. Forty-six RCTs involving 2494 participants with a mean age of 53.3 ±10 y were included in this review. Whole polyphenol-rich food but not purified food polyphenol extracts significantly reduced systolic blood pressure (SBP, -3.69 mmHg; 95% CI: -4.24, -3.15 mmHg; P = 0.00001) and diastolic blood pressure (DBP, -1.44 mmHg; 95% CI: -2.56, -0.31 mmHg; P = 0.0002). Concerning waist circumference, purified food polyphenol extracts led to a larger effect (-3.04 cm; 95% CI: -7.06, -0.98 cm; P = 0.14). Significant effects on total cholesterol (-9.03 mg/dL; 95% CI: -16.46, -1.06 mg/dL; P = 0.02) and TGs (-13.43 mg/dL; 95% CI: -23.63, -3.23; P = 0.01) were observed when purified food polyphenol extracts were considered separately. None of the intervention materials significantly affected LDL-cholesterol, HDL-cholesterol, FBG, IL-6, and CRP. When both whole food and extracts were pooled together, there was a significant reduction in SBP, DBP, FMD, TGs, and total cholesterol. These findings suggest that polyphenols both as whole food and purified extracts can be efficacious in reducing cardiometabolic risks. However, these results must be interpreted with caution because of high heterogeneity and risk of bias among RCTs. This study was registered on PROSPERO as CRD42021241807.

Indexed as

Cardiovascular DiseasesPolyphenolsAdultBlood PressureCholesterol, HDLCholesterol, LDLHumansMiddle AgedRandomized Controlled Trials as TopicCholesterol, HDLCholesterol, LDLPolyphenolsblood glucoseblood pressurecardiometabolic riskscentral adipositydyslipidemiainflammationpolyphenolsvascular function

Identifiers

PMID36796437
PMCPMC10229382
OpenAlexW4318821456

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.