Evidence map›Paper›PMID 32443459›Full record

ReviewJournal of clinical medicine2020

Point-of-Care Diagnostic Tests for Detecting SARS-CoV-2 Antibodies: A Systematic Review and Meta-Analysis of Real-World Data.

Matteo Riccò, Pietro Ferraro, Giovanni Gualerzi, Silvia Ranzieri, Brandon Michael Henry, Younes Ben Said, Natalia Valeryevna Pyatigorskaya, Elena Nevolina, Jianhong Wu, Nicola Luigi Bragazzi and 1 more

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 9 pooled it
2.1field-weighted citation impact, top 7% 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

57 citing papers in PubMed, 9 syntheses or guidelines pooled it, 88 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 8 institutions in 4 countries.

Matteo RiccòAUSL-IRCCS di Reggio Emilia, Servizio di Prevenzione e Sicurezza negli ambienti di Lavoro (SPSAL), I-42122 Reggio Emilia (RE), Italy.ORCID 0000-0002-6525-2159
Pietro FerraroASL Foggia, Dipartimento di Prevenzione, Servizio Prevenzione e Sicurezza Ambienti Lavoro, Piazza Pavoncelli 11, I-41121 Foggia (FG), Italy.
Giovanni GualerziDepartment of Medicine and Surgery, School of Medicine, University of Parma, 43123 Parma (PR), Italy.
Silvia RanzieriDepartment of Medicine and Surgery, School of Occupational Medicine, University of Parma, I-43123 Parma (PR), Italy.ORCID 0000-0002-9607-8624
Brandon Michael HenryCardiac Intensive Care Unit, The Heart Institute, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229-3026, USA.
Younes Ben SaidDepartment of Industrial Pharmacy, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
Natalia Valeryevna PyatigorskayaDepartment of Industrial Pharmacy, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
Elena NevolinaExecutive Director of the Union "National Pharmaceutical Chamber", 125009 Moscow, Russia.
Jianhong WuLaboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada.
Nicola Luigi BragazziLaboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada.ORCID 0000-0001-8409-868X
Carlo SignorelliSchool of Medicine, Vita-Salute San Raffaele University, 20132 Milan (MI), Italy.
Sechenov University · RUUniversity of Parma · ITYork University · CAAzienda Sanitaria Unità Locale di Reggio Emilia · ITCincinnati Children's Hospital Medical Center · USUnited States Chamber of Commerce · USUniversity of Foggia · ITVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 is responsible for a highly contagious infection, known as COVID-19. SARS-CoV-2 was discovered in late December 2019 and, since then, has become a global pandemic. Timely and accurate COVID-19 laboratory testing is an essential step in the management of the COVID-19 outbreak. To date, assays based on the reverse-transcription polymerase chain reaction (RT-PCR) in respiratory samples are the gold standard for COVID-19 diagnosis. Unfortunately, RT-PCR has several practical limitations. Consequently, alternative diagnostic methods are urgently required, both for alleviating the pressure on laboratories and healthcare facilities and for expanding testing capacity to enable large-scale screening and ensure a timely therapeutic intervention. To date, few studies have been conducted concerning the potential utilization of rapid testing for COVID-19, with some conflicting results. Therefore, the present systematic review and meta-analysis was undertaken to explore the feasibility of rapid diagnostic tests in the management of the COVID-19 outbreak. Based on ten studies, we computed a pooled sensitivity of 64.8% (95%CI 54.5-74.0), and specificity of 98.0% (95%CI 95.8-99.0), with high heterogeneity and risk of reporting bias. We can conclude that: (1) rapid diagnostic tests for COVID-19 are necessary, but should be adequately sensitive and specific; (2) few studies have been carried out to date; (3) the studies included are characterized by low numbers and low sample power, and (4) in light of these results, the use of available tests is currently questionable for clinical purposes and cannot substitute other more reliable molecular tests, such as assays based on RT-PCR.

Indexed as

COVID-19point-of-care diagnosticsrapid testingreal-world dataSARS-CoV-2systematic review and meta-analysis

Identifiers

PMID32443459
PMCPMC7290955
OpenAlexW3025139238

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.