The effects of resveratrol supplementation on biomarkers of inflammation and oxidative stress among patients with metabolic syndrome and related disorders: a systematic review and meta-analysis of randomized controlled trials
Bibliographic record
Abstract
There are several current trials investigating the effect of resveratrol supplementation on biomarkers of inflammation and oxidative stress among patients with metabolic syndrome (MetS); however, their findings are controversial. This systematic review and meta-analysis of randomized controlled trials (RCTs) were conducted to summarize the existing evidence and collectively determine the effects of resveratrol supplementation on biomarkers of inflammation and oxidative stress among patients with MetS and related disorders. Two authors independently searched electronic databases, including MEDLINE, EMBASE, Cochrane Library, and Web of Science databases, until May 2018 in order to find relevant RCTs. The quality of the selected RCTs was evaluated using the Cochrane Collaboration risk of bias tool. Cochran's Q test and I-square (I2) statistic were used to determine whether heterogeneity exists across included trials. Standardized mean difference (SMD) and 95% CI between two intervention groups were used to determine pooled effect sizes. Out of 317 potential citations selected based on keywords, 24 RCTs met the inclusion criteria and were eligible for the current meta-analysis. The pooled results obtained by using the random-effects model showed that resveratrol supplementation significantly decreased C-reactive protein (CRP) (SMD = -0.55; 95% CI, -0.84, -0.26; P < 0.001; I2: 84.0) and tumor necrosis factor-α (TNF-α) (SMD = -0.68; 95% CI, -1.08, -0.28; P = 0.001; I2: 81.3) concentrations among patients with MetS and related disorders. Interleukin 6 (IL-6) (SMD = 0.05; 95% CI, -0.31, 0.41; P = 0.79; I2: 85.0) and superoxide dismutase (SOD) (SMD = 0.21; 95% CI, -3.16, 3.59; P = 0.90; I2: 97.7) concentrations did not significantly change following resveratrol supplementation. Resveratrol supplementation showed a promising lowering effect on some of the inflammatory markers among patients with MetS and related disorders. Additional prospective studies regarding the effect of resveratrol supplementation on biomarkers of inflammation and oxidative stress by using higher doses of resveratrol and longer duration of supplementation are necessary.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Meta-analysis | low |
| gpt | no category Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Meta-analysis | low |
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.036 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.022 | 0.037 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".