Evidence map›Paper›PMID 37489712›Full record

SynthesisBioengineered2023

Diagnostic value of BinaxNOW antigen card for Severe Acute Respiratory Syndrome Coronavirus 2.

Yue-Xue Mai, Jia-Hao Zhang, Xi-Feng Qian, Ke-Fan Wu, Xin Yin, Zhan-Fu Mo, Xiao-Ying Zhong, Qi-Qing Ye, Zi-Yuan Yu, Xu-Guang Guo

Abstract readMeta-Analysis
In one paragraph

Synthesis in Bioengineered, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yue-Xue MaiDepartment of Clinical Laboratory Medicine, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Jia-Hao ZhangDepartment of Clinical Laboratory Medicine, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Xi-Feng QianDepartment of Clinical Laboratory Medicine, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Ke-Fan WuDepartment of Clinical Laboratory Medicine, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Xin YinDepartment of Clinical Laboratory Medicine, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Zhan-Fu MoDepartment of Clinical Laboratory Medicine, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Xiao-Ying ZhongDepartment of Clinical Laboratory Medicine, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Qi-Qing YeDepartment of Clinical Laboratory Medicine, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Zi-Yuan YuDepartment of Clinical Laboratory Medicine, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Xu-Guang GuoDepartment of Clinical Laboratory Medicine, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid laboratory detection is remarkably crucial to diagnosing coronavirus disease 2019 (COVID-19) infection, due to whose outbreak causes to the world pandemic. The BinaxNOW antigen card (BinaxNOW) is a simple, effective, and cheap tool to detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The meta-analysis in this study was conducted to evaluate the diagnostic performance of BinaxNOW for SARS-CoV-2. The researchers independently retrieved the related databases (PubMed, Embase, Web of Science, Cochrane Library) before May 1st, 2021, and extracted the relevant data based on the early inclusion/exclusion criterion. Quality Assessment of Diagnostic Accuracy Study-2 was used to evaluate the quality of the enrolled studies. Stata 16.0, Meta-DiSc 1.4, and Review Manager 5.3 were used to generate analytical data for the statistical analysis. 59 sets of data were identified from the seven studies included in this meta-analysis. The combined sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and their 95% confidence intervals were 0.77 (0.76 to 0.79), 0.99 (0.99 to 0.99), 65.72 (48.23 to 89.56), 0.23 (0.19 to 0.28), and 461.10 (281.55 to 755.13), respectively. The area under curve was 0.9910 in the summary receiver operating characteristic curve. BinaxNOW is beneficial for symptomatic patients' onset within 7 days. CT value and testing site may be the heterogeneity source of BinaxNOW accuracy. Moreover, this technology has an efficient performance for diagnosing COVID-19, especially in patients with heavy viral load. BinaxNOW may become a practical tool for large-scale or at-home use for COVID-19 in the post-pandemic era.Highlights● Pooled sensitivity with 0.77 and specificity with 0.99 in the BinaxNOW assay.● CT value and testing site may be the heterogeneity source of BinaxNOW accuracy.● BinaxNOW is beneficial for symptomatic patients' onset within 7 days.● BinaxNOW may become a practical tool for large-scale or at-home use for COVID-19.

Indexed as

COVID-19SARS-CoV-2COVID-19 TestingDatabases, FactualHumansOdds RatioPandemicsBinaxNOW antigen carddiagnosismeta-analysisSARS-CoV-2systematic review

Identifiers

PMID37489712
PMCPMC10392737

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.