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Meta-Analysis
. 2017 Jan;96(3):e5713.
doi: 10.1097/MD.0000000000005713.

Lung ultrasound for the diagnosis of pneumonia in adults: A meta-analysis

Affiliations
Meta-Analysis

Lung ultrasound for the diagnosis of pneumonia in adults: A meta-analysis

Ling Long et al. Medicine (Baltimore). 2017 Jan.

Abstract

Background: Pneumonia is a common and serious infectious disease that can cause high mortality. The role of lung ultrasound (LUS) in the diagnosis of pneumonia is becoming more and more important.

Methods: In the present study, we collected existing evidence regarding the use of LUS to diagnose pneumonia in adults and conducted a systematic review to summarize the technique's diagnostic accuracy. We specifically searched the Cochrane Central Register of Controlled Trials (CENTRAL), PubMed, and Embase databases and retrieved outcome data to evaluate the efficacy of LUS for the diagnosis of pneumonia compared with chest radiography or chest computed tomography. The pooled sensitivity (SEN) and specificity (SPE) were determined using the Mantel-Haenszel method, and the pooled diagnostic odds ratio (DOR) was determined using the DerSimonian-Laird method. We also assessed heterogeneity of sensitivity, specificity, and diagnostic odds ratio using the Q and I statistics.

Results: Twelve studies containing 1515 subjects were included in our meta-analysis. The SEN and SPE were 0.88 (95% CI: 0.86-0.90) and 0.86 (95% CI: 0.83-0.88), respectively. The pooled negative likelihood ratio (LR) was 0.13 (95% CI: 0.08-0.23), the positive LR was 5.37 (95% CI: 2.76-10.43), and the DOR was 65.46 (95% CI: 29.24-146.56). The summary receiver operating characteristic curve indicated a relationship between sensitivity and specificity. The area under the curve for LUS was 0.95.

Conclusion: LUS can help to diagnose adult pneumonia with high accuracy.

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Conflict of interest statement

The authors have no conflicts of interest to disclose.

Figures

Figure 1
Figure 1
Flowchart of articles retrieved from the search of databases and reasons for exclusion.
Figure 2
Figure 2
Details of quality assessment by the QUADAS-2 tool.
Figure 3
Figure 3
Forrest plots of pooled sensitivity and specificity.
Figure 4
Figure 4
Forest plots for lung ultrasound for the diagnosis of pneumonia.
Figure 5
Figure 5
The summary receiver operating characteristic of LUS for the detection of pneumonia compared with CR or chest CT. CT = computed tomography.
Figure 6
Figure 6
Funnel plot.

References

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