Mathur Sujata, So Matthew, Tahir Peggy, Peluso Michael J, Martin Jeffrey N, Kelly J Daniel
Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
UCSF Library, University of California, San Francisco, CA, USA.
Open Forum Infect Dis. 2023 Jul 10;10(8):ofad346. doi: 10.1093/ofid/ofad346. eCollection 2023 Aug.
Data on the performance of blood-based nucleocapsid antigen tests for diagnosing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and infectious viral shedding are limited. To address this knowledge gap, we conducted a systematic review to assess the performance of blood-based nucleocapsid (N) antigen tests in diagnosing SARS-CoV-2 infection and identifying infectiousness. This review was registered on PROSPERO (registration no. CRD42022339635). We comprehensively searched PubMed, Embase, Web of Science, and the Coronavirus Research Database for relevant studies published through 27 February 2023. Each study's risk of bias was evaluated using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool. Our findings indicate that the performance of the N-antigen test is influenced by factors such as assay type, sampling timing, and illness severity. Sensitive assays provide suitable methods for viable screening and laboratory diagnostic tests in different clinical and research settings during the early phase of illness.
用于诊断严重急性呼吸综合征冠状病毒2（SARS-CoV-2）感染和传染性病毒脱落的基于血液的核衣壳抗原检测的性能数据有限。为了填补这一知识空白，我们进行了一项系统评价，以评估基于血液的核衣壳（N）抗原检测在诊断SARS-CoV-2感染和识别传染性方面的性能。本评价已在PROSPERO上注册（注册号CRD42022339635）。我们全面检索了PubMed、Embase、Web of Science和冠状病毒研究数据库，以查找截至2023年2月27日发表的相关研究。使用诊断准确性研究质量评估2（QUADAS-2）工具评估每项研究的偏倚风险。我们的研究结果表明，N抗原检测的性能受检测类型、采样时间和疾病严重程度等因素影响。灵敏的检测方法为疾病早期不同临床和研究环境中的可行筛查和实验室诊断检测提供了合适的方法。
