Evidence map›Paper›PMID 29757229›Full record

SynthesisNutrients2018

Effect of Dietary Sugar Intake on Biomarkers of Subclinical Inflammation: A Systematic Review and Meta-Analysis of Intervention Studies.

Karen W Della Corte, Ines Perrar, Katharina J Penczynski, Lukas Schwingshackl, Christian Herder, Anette E Buyken

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Nutrients, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 6 pooled it
8.1field-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

55 citing papers in PubMed, 6 syntheses or guidelines pooled it, 125 citations in OpenAlex.

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  14. Impact of Dietary Fiber on Inflammation in Humans.International journal of molecular sciences · 2025
    Review
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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 4 institutions in 1 country.

Karen W Della CortePublic Health Nutrition, University of Paderborn, 33098 Paderborn, Germany. s7kaward@uni-bonn.de.
Ines PerrarNutritional Epidemiology, University of Bonn, DONALD Study, 44225 Dortmund, Germany. iperrar@uni-bonn.de.
Katharina J PenczynskiPublic Health Nutrition, University of Paderborn, 33098 Paderborn, Germany. katharina.penczynski@uni-paderborn.de.
Lukas SchwingshacklDepartment of Epidemiology, German Institute of Human Nutrition, 14558 Nuthetal, Germany. Lukas.Schwingshackl@dife.de.
Christian HerderInstitute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany. Christian.Herder@ddz.uni-duesseldorf.de.
Anette E BuykenPublic Health Nutrition, University of Paderborn, 33098 Paderborn, Germany. anette.buyken@uni-paderborn.de.
Paderborn University · DEDeutsches Diabetes-Zentrum e.V. · DEGerman Institute of Human Nutrition · DEUniversity of Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been postulated that dietary sugar consumption contributes to increased inflammatory processes in humans, and that this may be specific to fructose (alone, in sucrose or in high-fructose corn syrup (HFCS)). Therefore, we conducted a meta-analysis and systematic literature review to evaluate the relevance of fructose, sucrose, HFCS, and glucose consumption for systemic levels of biomarkers of subclinical inflammation. MEDLINE, EMBASE, and Cochrane libraries were searched for controlled intervention studies that report the effects of dietary sugar intake on (hs)CRP, IL-6, IL-18, IL-1RA, TNF-α, MCP-1, sICAM-1, sE-selectin, or adiponectin. Included studies were conducted on adults or adolescents with ≥20 participants and ≥2 weeks duration. Thirteen studies investigating 1141 participants were included in the meta-analysis. Sufficient studies (≥3) to pool were only available for (hs)CRP. Using a random effects model, pooled effects of the interventions (investigated as mean difference (MD)) revealed no differences in (hs)CRP between fructose intervention and glucose control groups (MD: −0.03 mg/L (95% CI: −0.52, 0.46),

Indexed as

AdiponectinBiomarkersC-Reactive ProteinCytokinesDatabases, FactualDietDietary SugarsE-SelectinFructoseHigh Fructose Corn SyrupHumansInflammationObservational Studies as TopicRandomized Controlled Trials as TopicAdiponectinBiomarkersC-Reactive ProteinCytokinesDietary SugarsE-SelectinFructoseHigh Fructose Corn Syrupdietary fructosedietary glucosedietary sucrosehigh fructose corn syrupinflammatory markers

Identifiers

PMID29757229
PMCPMC5986486
OpenAlexW2801876905

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.