Evidence map›Paper›PMID 29232891›Full record

SynthesisNutrients2017

The Effect of Polyphenol-Rich Interventions on Cardiovascular Risk Factors in Haemodialysis: A Systematic Review and Meta-Analysis.

Wolfgang Marx, Jaimon Kelly, Skye Marshall, Stacey Nakos, Katrina Campbell, Catherine Itsiopoulos

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 29 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 6 pooled it
2.6field-weighted citation impact, top 10% 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

29 citing papers in PubMed, 6 syntheses or guidelines pooled it, 49 citations in OpenAlex.

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  17. The adverse and beneficial effects of polyphenols in green and black teasInternational journal of medical sciences · 2023
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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 1 country.

Wolfgang MarxSchool of Allied Health, La Trobe University, Bundoora, VIC 3086, Australia. w.marx@latrobe.edu.au.ORCID 0000-0002-8556-8230
Jaimon KellyFaculty of Health Sciences and Medicine, Bond University, Robina, QLD 4226, Australia. jkelly@bond.edu.au.
Skye MarshallFaculty of Health Sciences and Medicine, Bond University, Robina, QLD 4226, Australia. smarshal@bond.edu.au.ORCID 0000-0001-8953-5068
Stacey NakosSchool of Allied Health, La Trobe University, Bundoora, VIC 3086, Australia. 17987619@students.latrobe.edu.au.
Katrina CampbellFaculty of Health Sciences and Medicine, Bond University, Robina, QLD 4226, Australia. kcampbel@bond.edu.au.
Catherine ItsiopoulosSchool of Allied Health, La Trobe University, Bundoora, VIC 3086, Australia. c.itsiopoulos@latrobe.edu.au.ORCID 0000-0003-1397-4149
Bond University · AULa Trobe University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

End-stage kidney disease is a strong risk factor for cardiovascular-specific mortality. Polyphenol-rich interventions may attenuate cardiovascular disease risk factors; however, this has not been systematically evaluated in the hemodialysis population. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, the following databases were searched: Cochrane Library (http://www.cochranelibrary.com/), MEDLINE (https://health.ebsco.com/products/medline-with-full-text), Embase (https://www.elsevier.com/solutions/embase-biomedical-research), and CINAHL (https://www.ebscohost.com/nursing/products/cinahl-databases/cinahl-complete). Meta-analyses were conducted for measures of lipid profile, inflammation, oxidative stress, and blood pressure. Risk of bias was assessed using the Cochrane Collaboration Risk of Bias tool and quality of the body of evidence was assessed by the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) methodology. Twelve studies were included for review. Polyphenol-rich interventions included soy, cocoa, pomegranate, grape, and turmeric. Polyphenol-rich interventions significantly improved diastolic blood pressure (Mean Difference (MD) -5.62 mmHg (95% Confidence Interval (CI) -8.47, -2.78);

Indexed as

BiomarkersBlood PressureCardiovascular DiseasesCombined Modality TherapyCurcumaDiet TherapyHumansKidney Failure, ChronicLythraceaePeroxidasePolyphenolsRenal DialysisRisk FactorsSoy FoodsTriglyceridesVitisBiomarkersPeroxidasePolyphenolsTriglyceridesblood pressurecardiovascularcocoadialysisinflammationmeta-analysisoxidative stresspolyphenolpomegranatereviewsoyturmeric

Identifiers

PMID29232891
PMCPMC5748795
OpenAlexW2775355816

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.