Evidence map›Paper›PMID 32593741›Full record

ReviewClinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases2020

Diagnostic strategies for SARS-CoV-2 infection and interpretation of microbiological results.

G Caruana, A Croxatto, A T Coste, O Opota, F Lamoth, K Jaton, G Greub

Open access · hybridAbstract readReview
In one paragraph

Review in Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 4% 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

81 citing papers in PubMed, 1 synthesis or guideline pooled it, 177 citations in OpenAlex.

  1. Pooled it
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  11. Quartz Crystal Microbalance Platform for SARS-CoV-2 Immuno-Diagnostics.International journal of molecular sciences · 2023
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21 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 1 country.

G CaruanaInstitut de Microbiologie, Département de médecine de laboratoire et pathologie (DMLP), Centre Hospitalier Universitaire Vaudois and Université de Lausanne, Lausanne, Switzerland.
A CroxattoInstitut de Microbiologie, Département de médecine de laboratoire et pathologie (DMLP), Centre Hospitalier Universitaire Vaudois and Université de Lausanne, Lausanne, Switzerland.
A T CosteInstitut de Microbiologie, Département de médecine de laboratoire et pathologie (DMLP), Centre Hospitalier Universitaire Vaudois and Université de Lausanne, Lausanne, Switzerland.
O OpotaInstitut de Microbiologie, Département de médecine de laboratoire et pathologie (DMLP), Centre Hospitalier Universitaire Vaudois and Université de Lausanne, Lausanne, Switzerland.
F LamothInstitut de Microbiologie, Département de médecine de laboratoire et pathologie (DMLP), Centre Hospitalier Universitaire Vaudois and Université de Lausanne, Lausanne, Switzerland; Service de Maladies Infectieuses, Département de médecine, Centre Hospitalier Universitaire Vaudois and Université de Lausanne, Lausanne, Switzerland.
K JatonInstitut de Microbiologie, Département de médecine de laboratoire et pathologie (DMLP), Centre Hospitalier Universitaire Vaudois and Université de Lausanne, Lausanne, Switzerland.
G GreubInstitut de Microbiologie, Département de médecine de laboratoire et pathologie (DMLP), Centre Hospitalier Universitaire Vaudois and Université de Lausanne, Lausanne, Switzerland; Service de Maladies Infectieuses, Département de médecine, Centre Hospitalier Universitaire Vaudois and Université de Lausanne, Lausanne, Switzerland. Electronic address: gilbert.greub@chuv.ch.
University Hospital of Lausanne · CHUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo face the current COVID-19 pandemic, diagnostic tools are essential. It is recommended to use real-time RT-PCR for RNA viruses in order (a) to perform a rapid and accurate diagnostic, (b) to guide patient care and management and (c) to guide epidemiological strategies. Further studies are warranted to define the role of serological diagnosis and a possible correlation between serological response and prognosis.

objectivesThe aim was to guide clinical microbiologists in the use of these diagnostic tests and clinicians in the interpretation of their results. SOURCES: A search of literature was performed through PubMed and Google Scholar using the keywords SARS-CoV-2, SARS-CoV-2 molecular diagnosis, SARS-CoV-2 immune response, SARS-CoV-2 serology/antibody testing, coronavirus diagnosis. CONTENT: The present review discusses performances, limitations and use of current and future diagnostic tests for SARS-CoV-2. IMPLICATIONS: Real-time RT-PCR remains the reference method for diagnosis of SARS-CoV-2 infection. On the other hand, notwithstanding its varying sensitivity according to the time of infection, serology represents a valid asset (a) to try to solve possible discrepancies between a highly suggestive clinical and radiological presentation and negative RT-PCR, (b) to solve discrepancies between different PCR assays and (c) for epidemiological purposes.

Indexed as

Antibodies, ViralCOVID-19COVID-19 Nucleic Acid TestingCOVID-19 Serological TestingCOVID-19 TestingHumansReal-Time Polymerase Chain ReactionAntibodies, ViralCoronavirusCOVID-19Molecular diagnostic testingReverse transcriptase polymerase chain reactionSARS-COV-2Serology

Identifiers

PMID32593741
PMCPMC7315992
OpenAlexW3037255484

What OpenQuestion holds

Textmetadata
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.