Evidence map›Paper›PMID 32790827›Full record

SynthesisAdvances in nutrition (Bethesda, Md.)2021

Comparing the Effects of Docosahexaenoic and Eicosapentaenoic Acids on Inflammation Markers Using Pairwise and Network Meta-Analyses of Randomized Controlled Trials.

Cécile Vors, Janie Allaire, Sonia Blanco Mejia, Tauseef A Khan, John L Sievenpiper, Benoît Lamarche

Registry-linked trialOpen access · greenAbstract readComparative StudyNetwork Meta-AnalysisSystematic Review
In one paragraph

Synthesis in Advances in nutrition (Bethesda, Md.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03520556 (Do Docosahexaenoic and Eicosapentaenoic Acids Have Similar Effects on Inflammation Markers? A Systematic Review and Meta-analysis of Randomized Controlled Trials), which is not on this map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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.

NCT03520556 completednot on this map

Do Docosahexaenoic and Eicosapentaenoic Acids Have Similar Effects on Inflammation Markers? A Systematic Review and Meta-analysis of Randomized Controlled Trials

TypeobservationalSponsorLaval UniversityRan2018 to 2020Enrolled1ConditionsMetabolic Syndrome, Overweight, Obesity, Chronic Inflammation
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  3. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Cécile VorsCentre Nutrition, Santé et Société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels (INAF), Laval University, Quebec City, Canada.
Janie AllaireCentre Nutrition, Santé et Société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels (INAF), Laval University, Quebec City, Canada.
Sonia Blanco MejiaDepartment of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Canada.
Tauseef A KhanDepartment of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Canada.
John L SievenpiperDepartment of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Canada.
Benoît LamarcheCentre Nutrition, Santé et Société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels (INAF), Laval University, Quebec City, Canada.
Université Laval · CASt. Michael's Hospital · CAUniversity of Toronto · CA

Funding

CIHR
6 · The paper itself

Abstract

Recent data from randomized clinical trials (RCTs) suggest that DHA may have stronger anti-inflammatory effects than EPA. This body of evidence has not yet been quantitatively reviewed. The aim of this study was to compare the effect of DHA and EPA on several markers of systemic inflammation by pairwise and network meta-analyses of RCTs. MEDLINE, EMBASE, and The Cochrane Library were searched through to September 2019. We included RCTs of ≥7 d on adults regardless of health status that directly compared the effects of DHA with EPA and RCTs of indirect comparisons, in which the effects of DHA or EPA were compared individually to a control fatty acid. Differences in circulating concentrations of C-reactive protein (CRP), interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α) and adiponectin were the primary outcome measures. Data were pooled by pairwise and network meta-analysis and expressed as mean differences (MDs) with 95% CIs. Heterogeneity was assessed (Cochran Q statistic) and quantified (I2 statistic) in the pairwise meta-analysis. Inconsistency and transitivity were evaluated in the network meta-analysis. The certainty of evidence was assessed using the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) approach. Eligibility criteria were met by 5 RCTs (N = 411) for the pairwise meta-analysis and 20 RCTs (N = 1231) for the network meta-analysis. In the pairwise meta-analysis, DHA and EPA had similar effects on plasma CRP [MDDHA versus EPA = 0.14 mg/L (95% CI: -0.57, 0.85); I2 = 61%], IL-6 [MDDHA versus EPA = 0.10 pg/mL (-0.15, 0.34); I2 = 40%], and TNF-α [MDDHA versus EPA = -0.10 pg/mL (-0.37, 0.18); I2 = 40%]. In the network meta-analysis, the effects of DHA and EPA on plasma CRP [MDDHA versus EPA = -0.33 mg/L (-0.75, 0.10)], IL-6 [MDDHA versus EPA = 0.09 pg/mL (-0.12, 0.30)], and TNF-α [MDDHA versus EPA = -0.02 pg/mL (-0.25, 0.20)] were also similar. DHA and EPA had similar effects on plasma adiponectin in the network meta-analysis. Results from pairwise and network meta-analyses suggest that supplementation with either DHA or EPA does not differentially modify systemic markers of subclinical inflammation.

Indexed as

Docosahexaenoic AcidsEicosapentaenoic AcidInflammationRandomized Controlled Trials as TopicDiabetes Mellitus, Type 2Dietary SupplementsDouble-Blind MethodHumansDocosahexaenoic AcidsEicosapentaenoic Acidcardiovascular diseaseC-reactive proteinDHAEPAinflammationinterleukinmeta-analysisomega-3systematic review

Identifiers

PMID32790827
PMCPMC7850108
OpenAlexW3049693707

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.