Value of lung ultrasound for the diagnosis of COVID-19 pneumonia: a protocol for a systematic review and meta-analysis

Link to article at PubMed

BMJ Open. 2020 Aug 16;10(8):e039180. doi: 10.1136/bmjopen-2020-039180.

ABSTRACT

INTRODUCTION: In the recent COVID-19 pandemic, cases have exceeded over one million, with the number of confirmed cases increasing by 50 000-60 000 per day. The virus has killed nearly 50 000 people all over the world in only 3 months. These reforms bring major challenges to the public health and healthcare system. The pulmonary pathological features during the initial phase of COVID-19 are alveolar oedema, pneumocyte hyperplasia, gravitational consolidations and interstitial thickening. The ability of lung ultrasound (LUS) and its evolving applications in the diagnosis of COVID-19 pneumonia are widespread. This study aims to evaluate the surveillance value of LUS in the diagnosis of COVID-19 pneumonia.

METHODS AND ANALYSIS: We will perform a systematic search and meta-analysis on the use of LUS to diagnose and confirm COVID-19 pneumonia. We will search Ovid Medline, Ovid Embase, Web of Science, Cochrane Library, Scopus, Google Scholar, China Biology Medicine disc and WHO Global Health Library for studies on diagnostic accuracy from December 2019 to April 2021. Data collection and screening will be individually accomplished by two reviewers. The assessment of risk of bias for each outcome will be conducted using the QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies 2) tool. Data will be synthesised and heterogeneity will be evaluated. Meta-analysis will be conducted when strong homogeneous data are accessible. Grading of Recommendations Assessment, Development and Evaluation(GRADE) will be used to assess quality of evidence.

ETHICS AND DISSEMINATION: Approval of ethics committee is not needed for this review. While results will be disseminated electronically, effective dissemination will be done through presentations and peer-reviewed publication.

PROSPERO REGISTRATION NUMBER: CRD42020177803; pre-results.

PMID:32801207 | DOI:10.1136/bmjopen-2020-039180

Leave a Reply

Your email address will not be published.