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维生素D与肺癌皮肤转移之间关联的评估:一项系统评价方案

Evaluation of the association between vitamin D and lung cancer skin metastasis: A protocol for systematic review.

作者信息

Zhao Dan, Wang Tao, Li Yu-Feng, Huang Jian-Wei

机构信息

Department of Dermatology, Second Affiliated Hospital of Mudanjiang Medical University.

Department of Chest Surgery, The Affiliated Hongqi Hospital of Mudanjiang Medical University, Mudanjiang, China.

出版信息

Medicine (Baltimore). 2020 Dec 4;99(49):e23281. doi: 10.1097/MD.0000000000023281.

DOI:10.1097/MD.0000000000023281
PMID:33285703
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7717721/
Abstract

BACKGROUND

This study aims to investigate the association between vitamin D (VD) and lung cancer skin metastasis (LCSM).

METHODS

The following databases will be retrieved from the beginning to the present of each database without language limitation: PUBMED, EMBASE, Cochrane Library, Web of Science, CBM, and CNKI. The reference lists of included trials and other sources will also be checked. Two researchers will independently undertake literature selection, data collection, and study quality evaluation. We will utilize a fixed or random-effect model to pool the data according to the heterogeneity test. The RevMan 5.3 software will be used to analyze the data and perform meta-analysis.

RESULTS

This study will summarize high quality study to explore the association between VD and LCSM.

CONCLUSION

The findings of this study will help to judge whether there is association between VD and LCSM.

ETHICS AND DISSEMINATION

No research ethical approval is required in this study, because it will only analyze published data. It is expected to disseminate through a peer-reviewed journal.

STUDY REGISTRATION

osf.io/ph2au.

摘要

背景

本研究旨在探讨维生素D(VD)与肺癌皮肤转移(LCSM)之间的关联。

方法

将检索以下数据库,从各数据库建库至当前,无语言限制:PUBMED、EMBASE、Cochrane图书馆、科学网、中国生物医学文献数据库和中国知网。还将检查纳入试验的参考文献列表及其他来源。两名研究人员将独立进行文献筛选、数据收集和研究质量评估。我们将根据异质性检验采用固定效应或随机效应模型合并数据。将使用RevMan 5.3软件分析数据并进行荟萃分析。

结果

本研究将总结高质量研究,以探索VD与LCSM之间的关联。

结论

本研究结果将有助于判断VD与LCSM之间是否存在关联。

伦理与传播

本研究无需研究伦理批准,因为仅分析已发表的数据。预计将通过同行评审期刊进行传播。

研究注册

osf.io/ph2au。

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