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特发性炎性肌病患者黑色素瘤风险的荟萃分析。

A meta-analysis of melanoma risk in idiopathic inflammatory myopathy patients.

作者信息

Luo Rui, Xia Dan, Yu Siyang

机构信息

General medicine department, The first People's hospital of Longquanyi District Chengdu, Sichuan, China.

出版信息

Z Rheumatol. 2024 Dec;83(Suppl 3):299-304. doi: 10.1007/s00393-024-01473-3. Epub 2024 Jan 29.

Abstract

BACKGROUND

Idiopathic inflammatory myopathy (IIM) is a group of chronic acquired autoimmune diseases. The association between IIM and malignancies has been observed for decades. No meta-analysis has been conducted to summarize the relationship between IIM and melanoma. Herein, we specifically wanted to investigate whether IIM is associated with a higher incidence of melanoma.

METHODS

We searched both Chinese and English databases (CNKI, VIP, Wanfang, PubMed, Embase, Web of Science) for studies on IIM related to melanoma published up to October 2023. Two independent authors reviewed all literature to identify studies according to predefined selection criteria. Fixed effects models were applied to pool the risk. Publication bias was also evaluated and sensitivity analysis performed.

RESULTS

A total of 1660 articles were initially identified but only four cohort studies met the criteria. Thus, 4239 IIM patients were followed up. The pooled overall risk ratio/hazard ratio was 3.08 (95% confidence interval [CI] 0.79-5.37) and the standardized incidence ratio was 6.30 (95% CI 1.59-11.02).

CONCLUSION

The present meta-analysis suggests that IIM patients are at a significantly higher risk of developing melanoma.

摘要

背景

特发性炎性肌病(IIM)是一组慢性获得性自身免疫性疾病。IIM与恶性肿瘤之间的关联已被观察到数十年。尚未进行荟萃分析来总结IIM与黑色素瘤之间的关系。在此,我们特别想研究IIM是否与黑色素瘤的更高发病率相关。

方法

我们检索了中国知网(CNKI)、维普(VIP)、万方、PubMed、Embase、Web of Science等中英文数据库,以查找截至2023年10月发表的关于IIM与黑色素瘤相关的研究。两名独立作者根据预定义的选择标准对所有文献进行审查以确定研究。应用固定效应模型汇总风险。还评估了发表偏倚并进行了敏感性分析。

结果

最初共识别出1660篇文章,但只有四项队列研究符合标准。因此,对4239例IIM患者进行了随访。汇总的总体风险比/风险比为3.08(95%置信区间[CI]0.79 - 5.37),标准化发病率比为6.30(95%CI 1.59 - 11.02)。

结论

本荟萃分析表明,IIM患者发生黑色素瘤的风险显著更高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6a1/11655601/8e40d0855f5b/393_2024_1473_Fig1_HTML.jpg

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