Evidence map›Paper›PMID 28208791›Full record

SynthesisNutrients2017

Impact of Flavonols on Cardiometabolic Biomarkers:  A Meta-Analysis of Randomized Controlled Human  Trials to Explore the Role of Inter-Individual  Variability.

Regina Menezes, Ana Rodriguez-Mateos, Antonia Kaltsatou, Antonio González-Sarrías, Arno Greyling, Christoforos Giannaki, Cristina Andres-Lacueva, Dragan Milenkovic, Eileen R Gibney, Julie Dumont and 7 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Nutrients, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 6 pooled it
8.2field-weighted citation impact, top 1% 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

32 citing papers in PubMed, 6 syntheses or guidelines pooled it, 133 citations in OpenAlex.

  1. Pooled it
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  6. Pooled it
  7. Trial
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  11. Review
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  14. Role of Quercetin in Diabetic Cardiomyopathy.Plants (Basel, Switzerland) · 2024
    Review
  15. Review
  16. The Reduced GutInternational journal of molecular sciences · 2024
    Article
  17. Review
  18. Review
  19. Review
  20. Article
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

17 authors at 12 institutions in 9 countries.

Regina MenezesBET/ITQB, Molecular Nutrition & Health Laboratory, 2780-157 Oeiras, Portugal. rmenezes@ibet.pt.
Ana Rodriguez-MateosDivision of Diabetes and Nutritional Sciences, Faculty of Life Sciences and Medicine, King's College London, London SE1 9NH, UK. mateos@kcl.ac.uk.
Antonia KaltsatouFAME Laboratory, School of Exercise Science, University of Thessaly, 42100 Volos, Greece. akaltsat@gmail.com.
Antonio González-SarríasCEBAS-CSIC, E-30100 Murcia, Spain. agsarrias@cebas.csic.es.
Arno GreylingUnilever R&D, 3133AT Vlaardingen, The Netherlands. Arno.Greyling@unilever.com.
Christoforos GiannakiUniversity of Nicosia, CY1700 Engomi, Cyprus. giannaki.c@unic.ac.cy.
Cristina Andres-LacuevaBiomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Campus Torribera, Faculty of Pharmacy and Food Sciences, University of Barcelona, CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, 08028 Barcelona, Spain.
Dragan MilenkovicINRA, UMR 1019, UNH, CRNH Auvergne, F-63000 Clermont-Ferrand, Clermont Université, Université d'Auvergne, Unité de Nutrition Humaine, BP 10448, F-63000 Clermont-Ferrand, France. dragan.milenkovic@clermont.inra.fr.
Eileen R GibneyUniversity College Dublin, D4 Dublin, Ireland. eileen.gibney@ucd.ie.
Julie DumontUniversité Lille, INSERM, Institut Pasteur de Lille, U1167-RID-AGE-Facteurs de Risque et Déterminants Moléculaires des Maladies Liées au Vieillissement, F-59000 Lille, France. eileen.gibney@ucd.ie.
Manuel SchärDepartment of Food and Nutritional Sciences, University of Reading, Reading RG6 6AP, UK. rmenezes@ibet.pt.
Mar Garcia-AloyBiomarkers and Nutrimetabolomic Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Campus Torribera, Faculty of Pharmacy and Food Sciences, University of Barcelona, CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, 08028 Barcelona, Spain.
Susana Alejandra Palma-DuranHuman Nutrition, University of Glasgow, Glasgow G31 2ER, UK. mateos@kcl.ac.uk.
Tatjana RuskovskaGoce Delcev University, 2000 Stip, Macedonia. akaltsat@gmail.com.
Viktorija MaksimovaGoce Delcev University, 2000 Stip, Macedonia. akaltsat@gmail.com.
Emilie CombetHuman Nutrition, University of Glasgow, Glasgow G31 2ER, UK. mateos@kcl.ac.uk.
Paula PintoBET/ITQB, Molecular Nutrition & Health Laboratory, 2780-157 Oeiras, Portugal. paula.pinto@esa.ipsantarem.pt.
Goce Delcev University · MKInstituto de Salud Carlos III · ESUniversity College Dublin · IEUniversity of Glasgow · GBCentro de Edafología y Biología Aplicada del Segura · ESInstituto Politécnico de Santarém · PTKing's College London · GBUnilever (Netherlands) · NLUniversité Clermont Auvergne · FRUniversity of Nicosia · CYUniversity of Reading · GBUniversity of Thessaly · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several  epidemiological  studies  have  linked  flavonols  with  decreased  risk  of  cardiovascular  disease  (CVD).  However,  some  heterogeneity  in  the  individual  physiological  responses to the consumption of these compounds has been identified. This meta-analysis aimed to  study the effect of flavonol supplementation on biomarkers of CVD risk such as, blood lipids, blood  pressure and plasma glucose, as well as factors affecting their inter-individual variability. Data from  18 human randomized controlled trials were pooled and the effect was estimated using fixed or  random effects meta-analysis model and reported as difference in means (DM). Variability in the  response of blood lipids to supplementation with flavonols was assessed by stratifying various  population subgroups: age, sex, country, and health status. Results showed significant reductions  in total cholesterol (DM = -0.10 mmol/L; 95% CI: -0.20, -0.01), LDL cholesterol (DM = -0.14 mmol/L;  Nutrients 2017, 9, 117  2 of 21  95% CI: -0.21, 0.07), and triacylglycerol (DM = -0.10 mmol/L; 95% CI: -0.18, 0.03), and a significant  increase in HDL cholesterol (DM = 0.05 mmol/L; 95% CI: 0.02, 0.07). A significant reduction was also  observed in fasting plasma glucose (DM = -0.18 mmol/L; 95%CI: -0.29, -0.08), and in blood pressure  (SBP: DM = -4.84 mmHg; 95% CI: -5.64, -4.04; DBP: DM = -3.32 mmHg; 95% CI: -4.09, -2.55).  Subgroup analysis showed a more pronounced effect of flavonol intake in participants from Asian  countries and in participants with diagnosed disease or dyslipidemia, compared to healthy and  normal baseline values. In conclusion, flavonol consumption improved biomarkers of CVD risk,  however, country of origin and health status may influence the effect of flavonol intake on blood  lipid levels.

Indexed as

Dietary SupplementsAdultAsiaBiomarkersBlood PressureCardiovascular DiseasesCholesterolCholesterol, HDLCholesterol, LDLFemaleFlavonolsHumansLipidsMaleMiddle AgedRandomized Controlled Trials as TopicBiomarkersCholesterolCholesterol, HDLCholesterol, LDLFlavonolsLipidsblood lipidsblood pressurecardiovascular  diseaseflavonolsglucoseInterindividual variabilitymeta‐analysisquercetinsystematic  review

Identifiers

PMID28208791
PMCPMC5331548
OpenAlexW2586846550

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.