Evidence map›Paper›PMID 31301131›Full record

SynthesisAdvances in nutrition (Bethesda, Md.)2020

The Effect of Whole-Grain Intake on Biomarkers of Subclinical Inflammation: A Comprehensive Meta-analysis of Randomized Controlled Trials.

Sepideh Rahmani, Omid Sadeghi, Mehdi Sadeghian, Narges Sadeghi, Bagher Larijani, Ahmad Esmaillzadeh

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Advances in nutrition (Bethesda, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 6 pooled it
–field-weighted citation impact
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

20 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Effects of Oats (Frontiers in nutrition · 2021
    Pooled it
  6. Pooled it
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  8. Article
  9. Article
  10. Review
  11. Article
  12. Impact of Dietary Fiber on Inflammation in Humans.International journal of molecular sciences · 2025
    Review
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  15. Article
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  19. Reply to F Haghighatdoost.Advances in nutrition (Bethesda, Md.) · 2020
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Sepideh RahmaniFood Security Research Center, Department of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran.
Omid SadeghiStudents' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Mehdi SadeghianDepartment of Nutrition, School of Paramedicine, Ahvaz Jundishapur University of Medical Science, Ahvaz, Iran.
Narges SadeghiDepartment of Nutrition, School of Paramedicine, Ahvaz Jundishapur University of Medical Science, Ahvaz, Iran.
Bagher LarijaniEndocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Ahmad EsmaillzadehFood Security Research Center, Department of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Findings on the effect of whole-grain consumption on inflammatory biomarkers are conflicting. This study aimed to summarize available studies on the effects of whole-grain consumption on inflammatory biomarkers in adults. Online databases including PubMed, Scopus, ISI Web of Science, and Google Scholar were searched for relevant studies published up to January 2018, using relevant keywords. We included randomized controlled trials (RCTs) investigating the effect of whole-grain foods or diets high in whole-grain foods on markers of inflammation. Studies were selected if they had a control diet low in whole grains or diets without whole grains, whether calorie restricted or not. We did not include studies that examined the effect of individual grain components, including bran or germ, or fiber-based diets. Overall, 14 RCTs, with 1238 individuals aged ≥18 y, were included. Pooling 13 effect sizes from 11 RCTs on serum C-reactive protein (CRP) concentrations, we found no significant effect of whole-grain consumption on serum CRP concentrations [weighted mean difference (WMD): -0.29 mg/L; 95% CI: -1.10, 0.52 mg/L]. However, the beneficial effects of whole-grain intake on serum CRP concentrations were observed in studies in individuals with elevated serum concentrations of CRP and studies with isocaloric diets. Combining 11 effect sizes from 10 RCTs, we found no significant effect of whole-grain consumption on serum IL-6 concentrations (WMD: -0.08 pg/mL; 95% CI: -0.27, 0.11 pg/mL). Nevertheless, we observed a significant effect of whole-grain consumption on serum IL-6 concentrations in studies in unhealthy individuals. A nonsignificant effect of whole-grain intake on circulating serum TNF-α concentrations was also seen when we summarized effect sizes from 7 RCTs (WMD: -0.06 pg/mL; 95% CI: -0.25, 0.14 pg/mL). Such a nonsignificant effect was observed for serum concentrations of plasminogen activator inhibitor-1 (PAI-1) (WMD: -3.59; 95% CI: -1.25, 8.44 kU/L). Unlike observational studies, we found no significant effect of whole-grain consumption on serum concentrations of inflammatory cytokines, including serum concentrations of CRP, IL-6, TNF-α, and PAI-1. However, beneficial effects of whole grains were found in some subgroups. Given the high between-study heterogeneity, deriving firm conclusions is difficult.

Indexed as

DietFeeding BehaviorWhole GrainsAdultAgedAged, 80 and overBiomarkersC-Reactive ProteinCytokinesFemaleHumansInflammationMaleMiddle AgedPlasminogen Activator Inhibitor 1Randomized Controlled Trials as TopicBiomarkersC-Reactive ProteinCytokinesPlasminogen Activator Inhibitor 1clinical trialsdietinflammationmeta-analysiswhole grains

Identifiers

PMID31301131
PMCPMC7442343

What OpenQuestion holds

Textmetadata
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.