Evidence map›Paper›PMID 40702568›Full record

ArticleNutrition & metabolism2025

The effectiveness and safety of specific dietary supplements in modulating uric acid levels, oxidative stress, and lipid metabolism in patients: a network meta-analysis of 13 interventions.

Guancheng Ye, Chunping Liu, Xiaojia Zheng, Jinying Fang, Cunxiang Xie, Mingxuan Liu, Yiwen Wang, Luming Zhao, Hailong Wang

Abstract read
In one paragraph

Article in Nutrition & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Guancheng Ye *Department of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
Chunping Liu *Department of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
Xiaojia ZhengDepartment of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
Jinying FangDepartment of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
Cunxiang XieDepartment of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
Mingxuan LiuDepartment of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
Yiwen WangDepartment of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
Luming ZhaoDepartment of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
Hailong WangDepartment of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China. wanghailong@bucm.edu.cn.

Funding

Dongzhimen Hospital High level Traditional Chinese Medicine Hospital Project DZMG-XZYY-23006National Key Research and Development Program of China 2022YFC3501200 and 2022YFC3501203
6 · The paper itself

Abstract

backgroundHyperuricemia and gout have garnered increasing attention as significant health concerns in recent years, often associated with damage to multiple bodily systems. Consequently, the reduction of uric acid levels has become particularly crucial. The utilization of dietary supplements presents potential adjunctive treatment options for individuals with gout. Certain dietary supplements are purported to aid in the reduction of uric acid levels and are highly preferred by patients due to their affordability, ease of use, and accessibility. The aim of this article was to compare the efficacy and safety of dietary supplements in modulating uric acid, oxidative stress, and lipid metabolism in patients with hyperuricemia or gout, using a comprehensive network meta-analysis (NMA) approach. METHODOLOGY: A comprehensive search was performed across both Chinese and English databases to identify randomized controlled trials (RCTs) examining the efficacy of dietary supplements in reducing uric acid levels. Network meta-analysis was conducted using Stata 16.0 software, while RevMan 5.3 software was employed to assess the quality of the literature and evaluate the risk of bias.

resultA total of 30 RCTs, encompassing 44,972 patients, were conducted. The findings of the study indicated that folic acid (mean difference [MD] = -57.62 μmol/L, 95% confidence interval [CI] [-107.14, -8.1]) and probiotics (MD = -42.52 μmol/L, 95% CI [-81.95, -3.09]) significantly reduced uric acid levels compared to conventional therapy. Furthermore, Vitamin C (MD = -0.92 nmmol/ml, 95% CI [-1.54, -0.31]) and Vitamin E (MD = -1.05 nmmol/ml, 95% CI [-2.01, -0.1]) were effective in reducing oxidative stress-related malondialdehyde (MDA) levels. In terms of lipid metabolism improvement, DKB114 (MD = -0.45 mmol/L, 95% CI [-0.9, -0.001]) and curcumin (MD = -0.54 mmol/L, 95% CI [-0.89, -0.18]) demonstrated statistically significant reductions in low-density lipoprotein (LDL) levels. Analysis of subgroups revealed that administration of 500 mg of vitamin C resulted in a significant reduce in uric acid levels when compared to conventional treatment (MD =  - 21.67 μmol/L, 95% CI [- 43.01, - 0.33]), indicating statistically significant differences. The safety profile of all dietary supplements has generally been demonstrated to be favorable.

conclusionDietary supplements hold significant potential for managing gout and hyperuricemia, as well as improving patients' metabolic status. Future research should focus on larger-scale studies to further explore these findings.

Indexed as

Dietary supplementsEffectivenessGoutHyperuricemiaNetwork meta-analysis

Identifiers

PMID40702568
PMCPMC12288254

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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.