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膳食抗氧化维生素与胶质瘤风险之间的关联:观察性研究的最新系统评价和荟萃分析。

Associations between dietary antioxidant vitamins and risk of glioma: an updated systematic review and meta-analysis of observational studies.

作者信息

Ni Ya-Jun, Huang Yi-Qian, Yu Lin, Zhang Xiao-Yan, Zhu Qin, Shu Long, Zhang Lun

机构信息

Department of Anesthesia Operation, Zhejiang Hospital, Zhejiang Hospital, Hangzhou, Zhejiang, China.

Department of Nutrition, Zhejiang Hospital, Hangzhou, Zhejiang, China.

出版信息

Front Nutr. 2024 Aug 6;11:1428528. doi: 10.3389/fnut.2024.1428528. eCollection 2024.

DOI:10.3389/fnut.2024.1428528
PMID:39166130
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11333925/
Abstract

BACKGROUND

Epidemiological studies investigating the potential associations between antioxidant vitamins intake and risk of glioma have yielded inconsistent results. To address this, we carried out a systematic review and updated meta-analysis to explore the relationship between dietary antioxidant vitamins intake and risk of glioma.

METHODS

We comprehensively searched electronic databases including PubMed, Web of Science, Embase, Scopus, China National Knowledge Infrastructure (CNKI) and Wan fang Data from their inception to March 2024. We employed fixed-effects or random-effects models to estimate the pooled relative risks (RRs) and 95% confidence intervals (CIs) for the associations between dietary antioxidant vitamins intake and risk of glioma. Publication bias was assessed through the visual inspection of the funnel plots and quantified by the Begg's and Egger's tests. Heterogeneity across studies was assessed using the Cochran's Q test and I-square (I). Additionally, subgroup and sensitivity analyses were performed to explore potential sources of heterogeneity and evaluate the robustness of the results.

RESULTS

Overall, a total of 15 articles involving 3,608 glioma cases and 771,930 participants were included in the final analysis. The pooled analyses revealed that the highest intake of vitamin C significantly reduced the risk of glioma (RR = 0.78; 95%CI: 0.63-0.96; = 0.022), compared to the lowest intake. However, no significant associations were observed between vitamin A and vitamin E intake and the risk of glioma (>0.05). Subgroup analyses revealed the inverse association between vitamin C intake and risk of glioma in the population-based case-control studies (RR = 0.82; 95%CI: 0.68-1.00, = 0.049) and study quality <7(RR = 0.52, 95%CI: 0.29-0.92, = 0.025).

CONCLUSION

Our findings show that higher intake of vitamin C is strongly associated with a reduced risk of glioma, although a dose-response relationship was not evident. Future large-scale prospective studies are warranted to confirm these findings.

摘要

背景

关于抗氧化剂维生素摄入量与胶质瘤风险之间潜在关联的流行病学研究结果并不一致。为解决这一问题,我们进行了一项系统综述和更新的荟萃分析,以探讨膳食抗氧化剂维生素摄入量与胶质瘤风险之间的关系。

方法

我们全面检索了电子数据库,包括从创刊至2024年3月的PubMed、Web of Science、Embase、Scopus、中国知网(CNKI)和万方数据。我们采用固定效应或随机效应模型来估计膳食抗氧化剂维生素摄入量与胶质瘤风险之间关联的合并相对风险(RRs)和95%置信区间(CIs)。通过漏斗图的直观检查评估发表偏倚,并通过Begg检验和Egger检验进行量化。使用Cochran's Q检验和I²(I)评估研究间的异质性。此外,进行亚组分析和敏感性分析以探索异质性的潜在来源并评估结果的稳健性。

结果

总体而言,最终分析纳入了总共15篇文章,涉及3608例胶质瘤病例和771930名参与者。汇总分析显示,与最低摄入量相比,维生素C的最高摄入量显著降低了胶质瘤风险(RR = 0.78;95%CI:0.63 - 0.96;P = 0.022)。然而,未观察到维生素A和维生素E摄入量与胶质瘤风险之间存在显著关联(P>0.05)。亚组分析显示,在基于人群的病例对照研究中(RR = 0.82;95%CI:0.68 - 1.00,P = 0.049)以及研究质量<7的研究中(RR = 0.52,95%CI:0.29 - 0.92,P = 0.025),维生素C摄入量与胶质瘤风险之间存在负相关。

结论

我们的研究结果表明,较高的维生素C摄入量与降低的胶质瘤风险密切相关,尽管剂量反应关系并不明显。未来有必要进行大规模前瞻性研究来证实这些发现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3464/11333925/de96c447f418/fnut-11-1428528-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3464/11333925/cb0f17d2f707/fnut-11-1428528-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3464/11333925/24a55bd7e6bd/fnut-11-1428528-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3464/11333925/a96032778f07/fnut-11-1428528-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3464/11333925/de96c447f418/fnut-11-1428528-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3464/11333925/cb0f17d2f707/fnut-11-1428528-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3464/11333925/24a55bd7e6bd/fnut-11-1428528-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3464/11333925/a96032778f07/fnut-11-1428528-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3464/11333925/de96c447f418/fnut-11-1428528-g0004.jpg

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