Analysis of the specificity of the SD Biosensor Standard Q Ag-Test based on Slovak mass testing data

Hledík, Michal; Polechová, Jitka; Beiglboeck, Mathias; Herdina, Anna Nele; Straßl, Robert; Posch, Martin

doi:10.1101/2020.12.08.20246090

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…The results of the mass rapid antigen testing in Slovakia were also studied in [12,31] (on the county-level data). There are significant differences between the results presented here and in [12] that does not analyze Round 3 data.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

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Characteristic spatial scales of SARS-CoV-2 pandemics: lessons from mass rapid antigen testing in Slovakia

Boďová

Kollár

2020

Preprint

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Mass antigen testing in Slovakia conducted in October and November 2020 is a source of important data. We perform its statistical analysis and study epidemic geographical patterns. We observe exponentially distributed test positivity and exponential trends in its geographical distribution, and its approximately 10 km spatial characteristic correlation length. A small correlation between positivity in two consecutive testing rounds appeared on the municipalities level but it significantly increased on the counties level. Recent 7-day PCR tests incidence per capita served as a good proxy for antigen test positivity. Positivity of non-residents was higher than of residents when mass testing was offered only in municipalities with the highest positivity in previous rounds. Reduction in positivity in repeated testing increased with the positivity in the earlier round. Our results contribute to better understanding of pandemic data, and aid an assessment of mass testing efficiency, and planning of mitigation measures.

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Section: Conclusion and Discussionmentioning

confidence: 99%

“…Dependence of antigen test sensitivity on viral load was studied in [30]. The lower specificity bound (99.6%) in mass testing in Slovakia was estimated in [31]. Test methodology and setup are described in detail in [12], see also additional information in Supplementary Material S1.4.…”

Section: Methodsmentioning

confidence: 99%

Characteristic spatial scales of SARS-CoV-2 pandemics: lessons from mass rapid antigen testing in Slovakia

Boďová

Kollár

2020

Preprint

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The accuracy of novel antigen rapid diagnostics for SARS-CoV-2: a living systematic review and meta-analysis

Brümmer

Katzenschlager

Gaeddert

et al. 2021

Preprint

102

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Background: SARS-CoV-2 antigen rapid diagnostic tests (Ag-RDTs) are increasingly being inte-grated in testing strategies around the world. Studies of the Ag-RDTs have shown variable performance. In this systematic review and meta-analysis, we assessed the clinical accuracy (sensi-tivity and specificity) of commercially available Ag-RDTs. Methods: We registered the review on PROSPERO (Registration number: CRD42020225140). We systematically searched multiple databases (PubMed, Web of Science Core Collection, medRvix and bioRvix, FINDdx) for publications up until December 11th, 2020. Descriptive analyses of all studies were performed and when more than four studies were avail-able, a random-effects meta-analysis was used to estimate pooled sensitivity and specificity in comparison to reverse transcriptase polymerase chain reaction testing. We assessed heterogeneity by subgroup analyses ((1) performed conform with manufacturers instructions for use (IFU) or not, (2) symptomatic vs. asymptomatic, (3) duration of symptoms less than seven days vs. more than seven days, (4) Ct-value <25 vs. <30 vs. >30, (5) by sample type)) and with meta-regression. We assessed study quality and risk of bias using the QUADAS 2 assessment tool. Results: From a total of 11,715 articles, we extracted 98 analytical and clinical data sets. 74 clinical accuracy data sets were evaluated that included 31,202 samples. Across all meta-analyzed samples, the pooled Ag-RDT sensitivity was 73.8% (CI 68.6 to 78.5). If analysis was re-stricted to studies that followed the Ag-RDT manufacturers instructions using fresh upper res-piratory swab samples, the sensitivity increased to 79.1% (95%CI 75.0 to 82.8). The SD Biosensor Standard Q and Abbott Panbio showed the highest sensitivity with 81.7% and 72.7%, respectively. The best Ag-RDT performance was found with nasopharyngeal sampling (77.3%, CI 72.0 to 81.9) in comparison to other sample types (e.g., anterior nasal or mid turbinate 63.5%, CI 49.5 to 75.5). Testing in the first week from symptom onset resulted in higher sensitivity (87.5%, CI 86.0 to 89.1) compared to testing after one week (64.1%, CI 54.4 to 73.8). The tests performed markedly better on samples with lower Ct-values, i.e., <30 (87.9%, CI 86.7 to 88.8), in comparison to those with Ct >30 (47.8%, CI 41.1 to 54.5). Bias concerns were raised across all data sets, and financial support from the manufacturer was reported in 28.2% of data sets. Conclusion: As Ag-RDTs detect most cases within the first week of symptom onset and those with high viral load, they can have high utility for screening purposes in the early phase of disease, and thus can be a valuable tool to fight the spread of SARS-CoV-2. Standardization of con-duct and reporting of clinical accuracy studies would improve comparability and use of data.

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Analysis of the specificity of the SD Biosensor Standard Q Ag-Test based on Slovak mass testing data

Cited by 2 publications

References 11 publications

Characteristic spatial scales of SARS-CoV-2 pandemics: lessons from mass rapid antigen testing in Slovakia

Characteristic spatial scales of SARS-CoV-2 pandemics: lessons from mass rapid antigen testing in Slovakia

The accuracy of novel antigen rapid diagnostics for SARS-CoV-2: a living systematic review and meta-analysis

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