A meta-analysis of internal mammary lymph node metastasis in breast cancer patients.

IF 0.3 4区 医学 Q4 Medicine
Onkologie Pub Date : 2013-01-01 Epub Date: 2013-11-20 DOI:10.1159/000356867
Zongtao Li, Xiaomei Gu, Junwang Tong, Bingli Liu, Liqian Sun, Xiaozeng Gao, Xiaohua Jiang
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引用次数: 12

Abstract

Background: Knowing the status of the internal mammary lymph (IML) nodes is important for accurate staging and appropriate selection of subsequent treatment in breast cancer. We conducted a meta-analysis to clarify the rate of IML node metastasis in breast cancer patients and discussed the importance of this finding.

Methods: We retrieved articles from the literature that reported positive rates of IML node metastasis in breast cancer patients. The quality of the selected articles was assessed using the 'Methodological Index for Non-Randomized Studies'. The heterogeneity was tested, and publication bias was assessed using a funnel plot. Finally, the positive rate of IML node metastasis in breast cancer patients was calculated using the random-effects model.

Results: 15 articles met the inclusion criteria and a total of 4,248 patients were included in the analysis. Heterogeneity across the studies was statistically significant (p = 0.014); thus, the random-effects model was used and the calculated positive rate of IML node metastasis was 23% (95% confidence interval (CI), 0.21-0.25).

Conclusions: Approximately 23% of the breast cancer patients had IML node metastases, for which the prognosis is generally poor. Accurate staging and integrated treatment are necessary to improve the survival of these patients.

乳腺癌患者内乳淋巴结转移的meta分析。
背景:了解乳腺内淋巴结(IML)的状态对乳腺癌的准确分期和正确选择后续治疗具有重要意义。我们进行了一项荟萃分析,以澄清乳腺癌患者中IML淋巴结转移率,并讨论了这一发现的重要性。方法:我们从文献中检索报道乳腺癌患者IML淋巴结转移阳性率的文章。所选文章的质量采用“非随机研究方法学指数”进行评估。异质性检验,发表偏倚评价采用漏斗图。最后,采用随机效应模型计算乳腺癌患者IML淋巴结转移阳性率。结果:符合纳入标准的文献15篇,共纳入患者4248例。各研究的异质性有统计学意义(p = 0.014);因此,采用随机效应模型,计算IML淋巴结转移阳性率为23%(95%可信区间(CI), 0.21-0.25)。结论:约23%的乳腺癌患者发生IML淋巴结转移,其预后普遍较差。准确的分期和综合治疗是提高这些患者生存的必要条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Onkologie
Onkologie 医学-肿瘤学
CiteScore
0.40
自引率
33.30%
发文量
0
审稿时长
3 months
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