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旋涡征预测脑出血血肿扩大的准确性:一项荟萃分析。

Accuracy of swirl sign for predicting hematoma enlargement in intracerebral hemorrhage: a meta-analysis.

机构信息

Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

West China School of Medicine, Sichuan University, Chengdu, Sichuan, China.

出版信息

J Neurol Sci. 2019 Apr 15;399:155-160. doi: 10.1016/j.jns.2019.02.032. Epub 2019 Feb 22.

Abstract

BACKGROUND

Hematoma enlargement happens in about 30% patients with intracerebral hemorrhage, which is reported to be closely correlated with poor prognosis. Swirl sign has been reported to have correlation with hematoma enlargement. This meta-analysis analyzed the accuracy of swirl sign for predicting hematoma enlargement in intracerebral hemorrhage.

METHODS

Five databases were searched for potentially eligible literature. Studies were included if they were about the predictive properties of swirl sign for hematoma enlargement in intracerebral hemorrhage. Sensitivity and specificity of swirl sign for hematoma enlargement prediction were pooled. Pooled positive and negative likelihood ratios were also calculated.

RESULTS

Six studies with 2647 patients were finally included in meta-analysis. The pooled sensitivity and specificity of swirl sign were 0.45 (95%CI 0.32-0.59) and 0.79 (95%CI 0.73-0.84), respectively. The pooled positive likelihood ratio of swirl sign was 2.2 (95%CI 1.8-2.5). In contrast, the pooled negative likelihood ratio of swirl sign was 0.69 (95%CI 0.57-0.84).

CONCLUSIONS

This meta-analysis suggests that swirl sign has the relatively high specificity for hematoma enlargement prediction in patients with intracerebral hemorrhage.

摘要

背景

脑出血患者约有 30%会发生血肿扩大,据报道与预后不良密切相关。漩涡征已被报道与血肿扩大有关。本荟萃分析分析了漩涡征预测脑出血血肿扩大的准确性。

方法

检索了五个数据库中可能符合条件的文献。纳入研究的条件是关于漩涡征对脑出血血肿扩大预测的预测特性。汇总了漩涡征对血肿扩大预测的敏感性和特异性。还计算了汇总的阳性和阴性似然比。

结果

荟萃分析最终纳入了 6 项研究,共 2647 名患者。漩涡征的汇总敏感性和特异性分别为 0.45(95%CI 0.32-0.59)和 0.79(95%CI 0.73-0.84)。漩涡征的阳性似然比为 2.2(95%CI 1.8-2.5)。相比之下,漩涡征的阴性似然比为 0.69(95%CI 0.57-0.84)。

结论

本荟萃分析表明,漩涡征对脑出血患者血肿扩大的预测具有较高的特异性。

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