SynthesisNutrients2025
Marine-Based Omega-3 Fatty Acids and Metabolic Syndrome: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.
Synthesis in Nutrients, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- The Immunometabolic Bridge: Targeting Metainflammation to Prevent the Transition from Obesity to Cardiovascular Disease.Journal of inflammation research · 2026Article
- Female Serum HER2 Expression: Its Association With Metabolic Syndrome and Treatment Drug Response.International journal of endocrinology · 2026Article
- Maternal docosahexaenoic acid and eicosapentaenoic acid supplementation: effects and mechanisms on lipid metabolism in the offspring.Frontiers in nutrition · 2026Review
- Effects of omega-3 PUFA-enriched egg consumption on metabolic parameters in elderly adults with metabolic syndrome: study protocol for a randomized controlled trial.Frontiers in nutrition · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMetabolic syndrome (MetS) is a set of cardiometabolic abnormalities, including central obesity, dyslipidemia, hypertension, and hyperglycemia, that substantially increases the risk of cardiovascular disease and type 2 diabetes. Marine-derived omega-3 polyunsaturated fatty acids (
methodsFollowing PRISMA guidelines, PubMed, Embase, Scopus, and Web of Science were searched to June 2024 for RCTs in adults with MetS or its components. Eligible trials assessed marine-derived omega-3 supplementation (EPA/DHA) versus placebo or control and reported at least one MetS diagnostic criterion (triglycerides, HDL cholesterol, fasting plasma glucose, blood pressure, or waist circumference) or related parameter (LDL cholesterol, HOMA-IR, or HbA1c). Data were extracted in duplicate and quality assessed using the Cochrane Risk-of-Bias Tool. Trials were categorized by dose-low (<1000 mg/day), medium (1000-2000 mg/day), and high (>2000 mg/day)-and duration: short-term (ST; ≤8 weeks), medium-term (MT; >8-12 weeks), and long-term (LT; >12 weeks). Meta-regression using ordinary least squares estimated dose-duration effects. Publication bias was assessed with funnel plots and Egger's test for outcomes with ≥3 studies.
resultsTwenty-one RCTs (
conclusionsMarine-derived omega-3 supplementation produces substantial triglyceride reductions, especially at doses >2000 mg/day for ≥8 weeks. HDL cholesterol and blood pressure benefits are not consistent, fasting glycemia is largely unaffected, and LDL cholesterol may increase, especially in low doses. High-dose marine omega-3s can be considered as part of dietary strategies for MetS management, with monitoring for LDL changes. Standardized intervention protocols and long-term RCTs are needed to clarify dose and duration-response relationships.
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Identifiers
What OpenQuestion holds
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.