ArticleHealth science reports2025
Can Coenzyme Q10 Supplementation Reduce Cardiovascular Disease Risk Factors? A Protocol for a GRADE-Assessed Systematic Review and Dose-Response Meta-Analysis of Randomized Controlled Trials.
Article in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled 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.
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
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effects of Coenzyme Q10 on Lipid, Glycemic, and Inflammatory Markers in Metabolic Disorders: A Systematic Review and Meta-Analysis.Journal of diabetes research · 2026Pooled it
- Can ginger improve cardiovascular health indices? A protocol for a GRADE-assessed systematic review and planned dose-response meta-analysis of randomized controlled trials.Systematic reviews · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aims: Cardiovascular diseases (CVDs), encompassing a variety of conditions affecting the heart and blood vessels, remain a significant global public health challenge. Among various therapeutic options, Coenzyme Q10 (CoQ10) has garnered attention due to its potential benefits for cardiovascular health. CoQ10 is a naturally occurring antioxidant that plays a crucial role in cellular energy production and has long been used therapeutically. This study aims to summarize and systematically analyze the scientific literature on glycemic profile, lipid profile, anthropometric measures, blood pressure, inflammatory factors, liver function tests, oxidative stress parameters and adipokines associated with CoQ10 supplementation to provide a basis for clinical treatment. Methods: A systematic electronic search will be conducted to identify articles published from inception to July 2024 across databases including PubMed, Scopus, Web of Science, CENTRAL, and EMBASE. The search will focus on randomized controlled trials (RCTs) involving both healthy and unhealthy participants. Two independent reviewers will evaluate articles, extract data, and assess study quality using the Cochrane risk of bias tool. Discrepancies will be resolved through consultation with a third reviewer. If a sufficient number of eligible studies are identified, a meta-analysis will be performed on the selected outcomes. Results: The results will provide a comprehensive synthesis of the effects of CoQ10 supplementation on cardiovascular disease risk factors, including glycemic profile, lipid profile, anthropometric measures, blood pressure, inflammatory factors, liver function tests, oxidative stress parameters, and adipokines. Conclusion: This protocol outlines a comprehensive approach to systematically review and perform a dose-response meta-analysis on the effects of CoQ10 supplementation on CVD risk factors. The study will employ rigorous methodologies, including independent evaluation and GRADE assessment, to ensure high-quality evidence synthesis from RCTs.
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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 Socratic graph.