Evidence map›Paper›PMID 36316641›Full record

ArticleBMC infectious diseases2022

Evaluation of qualitative and semi-quantitative cut offs for rapid diagnostic lateral flow test in relation to serology for the detection of SARS-CoV-2 antibodies: findings of a prospective study.

Maddalena Peghin, Giulia Bontempo, Maria De Martino, Alvisa Palese, Valentina Gerussi, Elena Graziano, Martina Fabris, Federica D'Aurizio, Francesco Sbrana, Andrea Ripoli and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
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

5 citing papers in PubMed, 14 citations in OpenAlex.

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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

13 authors at 3 institutions in 1 country.

Maddalena PeghinInfectious Diseases Division, Department of Medicine, University of Udine and Azienda sanitaria universitaria Friuli Centrale (ASUFC), Udine, Italy. maddalena.peghin@gmail.com.
Giulia BontempoInfectious Diseases Division, Department of Medicine, University of Udine and Azienda sanitaria universitaria Friuli Centrale (ASUFC), Udine, Italy.
Maria De MartinoDivision of Medical Statistics, Department of Medicine (DAME), University of Udine, 33100, Udine, Italy.
Alvisa PaleseDepartment of Medical Sciences, School of Nursing, University of Udine, Udine, Italy.
Valentina GerussiInfectious Diseases Division, Department of Medicine, University of Udine and Azienda sanitaria universitaria Friuli Centrale (ASUFC), Udine, Italy.
Elena GrazianoInfectious Diseases Division, Department of Medicine, University of Udine and Azienda sanitaria universitaria Friuli Centrale (ASUFC), Udine, Italy.
Martina FabrisInstitute of Clinical Pathology, Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy.
Federica D'AurizioInstitute of Clinical Pathology, Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy.
Francesco SbranaU.O. Lipoapheresis and Center for Inherited Dyslipidemias - Fondazione Toscana Gabriele Monasterio, Pisa, Italy.
Andrea RipoliBioengineering Department, Fondazione Toscana Gabriele Monasterio, Pisa, Italy.
Francesco CurcioInstitute of Clinical Pathology, Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy.
Miriam IsolaDivision of Medical Statistics, Department of Medicine (DAME), University of Udine, 33100, Udine, Italy.
Carlo TasciniInfectious Diseases Division, Department of Medicine, University of Udine and Azienda sanitaria universitaria Friuli Centrale (ASUFC), Udine, Italy.
University of Udine · ITOspedale Santa Maria della Misericordia di Udine · ITFondazione Toscana Gabriele Monasterio · IT

Funding

This research was funded by PRIN 2017 n.20178S4EK9 ‒ "Innovative statistical methods in biomedical research on biomarkers: from their identification to their use in clinical practice". The funding body had no role in the design of the study, in the collection, analysis, and interpretation of data and in writing the manuscript This research was funded by PRIN 2017 n.20178S4EK9 ‒ "Innovative statistical methods in biomedical research on biomarkers: from their identification to their use in clinical practice". The funding body had no role in the design of the study, in the collection, analysis, and interpretation of data and in writing the manuscript
6 · The paper itself

Abstract

backgroundThere is limited information to compare the qualitative and semi-quantitative performance of rapid diagnostic tests (RDT) and serology for the assessment of antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Therefore, the objective of the study was (a) to compare the efficacy of SARS-CoV-2 antibody detection between RDT and laboratory serology, trying to identify appropriate semi-quantitative cut-offs for RDT in relation with quantitative serology values and to (b) evaluate diagnostic accuracy of RDT compared to the NAAT gold standard in an unselected adult population.

methodsSARS-CoV-2 antibodies were simultaneously measured with lateral flow immunochromatographic assays (LFA), the Cellex qSARS-CoV-2 IgG/IgM Rapid Test (by capillary blood), the iFlash-SARS-CoV-2 IgG/IgM chemiluminescent immunoassay (CLIA) (by venous blood) and the nucleic acid amplification test (NAAT) in samples from in- and out-patients with confirmed, suspected and negative diagnosis of coronavirus disease 2019 (COVID-19) attending Udine Hospital (Italy) (March-May 2020). Interpretation of RDT was qualitative (positive/negative) and semi-quantitative based on a chromatographic intensity scale (negative, weak positive, positive).

resultsOverall, 720 paired antibody measures were performed on 858 patients. The qualitative and semiquantitative agreement analysis performed in the whole sample between LFA and CLIA provided a Kendall's tau of 0.578 (p < 0.001) and of 0.623 (p < 0.001), respectively, for IgM and IgG. In patients with a diagnosis of COVID-19, accordance between LFA and CLIA was maintained as a function of time from the onset of COVID-19 disease and the severity of disease both for qualitative and semi-quantitative assessments. RDT compared to the NAAT gold standard in 858 patients showed 78.5% sensitivity (95% CI 75.1%-81.7%) and 94.1% specificity (95% CI 90.4%-96.8%), with variable accordance depending on the timing from symptom onset.

conclusionThe RDT used in our study can be a non-invasive and reliable alternative to serological tests and facilitate both qualitative and a semi-quantitative antibody detection in COVID-19.

Indexed as

COVID-19SARS-CoV-2AdultAntibodies, ViralHumansImmunoassayImmunoglobulin GImmunoglobulin MProspective StudiesSensitivity and SpecificityAntibodies, ViralImmunoglobulin GImmunoglobulin MAntibodiesCLIACOVID-19ELISALateral flow immunoassayPOCRapid diagnostic testRDTSARS-CoV-2Serology

Identifiers

PMID36316641
PMCPMC9619007
OpenAlexW4307885815

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.