Evidence map›Paper›PMID 33329483›Full record

ArticleFrontiers in microbiology2020

Rapid Scanning Electron Microscopy Detection and Sequencing of Severe Acute Respiratory Syndrome Coronavirus 2 and Other Respiratory Viruses.

Gabriel Haddad, Sara Bellali, Anthony Fontanini, Rania Francis, Bernard La Scola, Anthony Levasseur, Jacques Bou Khalil, Didier Raoult

RetractedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 28% 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.

  1. Article
  2. Article
  3. Article
  4. Implementation of an in-house real-time reverse transcription-PCR assay for the rapid detection of the SARS-CoV-2 Marseille-4 variant.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2021
    Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Gabriel HaddadAix-Marseille Université, Institut de Recherche pour le Développement(IRD), UMR Microbes Evolution Phylogeny and Infections (MEPHI), Marseille, France.
Sara BellaliInstitut Hospitalo-Universitaire Méditerranée-Infection, Marseille, France.
Anthony FontaniniInstitut Hospitalo-Universitaire Méditerranée-Infection, Marseille, France.
Rania FrancisAix-Marseille Université, Institut de Recherche pour le Développement(IRD), UMR Microbes Evolution Phylogeny and Infections (MEPHI), Marseille, France.
Bernard La ScolaAix-Marseille Université, Institut de Recherche pour le Développement(IRD), UMR Microbes Evolution Phylogeny and Infections (MEPHI), Marseille, France.
Anthony LevasseurAix-Marseille Université, Institut de Recherche pour le Développement(IRD), UMR Microbes Evolution Phylogeny and Infections (MEPHI), Marseille, France.
Jacques Bou KhalilInstitut Hospitalo-Universitaire Méditerranée-Infection, Marseille, France.
Didier RaoultAix-Marseille Université, Institut de Recherche pour le Développement(IRD), UMR Microbes Evolution Phylogeny and Infections (MEPHI), Marseille, France.
Méditerranée Infection Foundation · FRInstitut de Recherche pour le Développement · FRInstitut de Recherche Pour le Développement · BF

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an urgent need for accurate and rapid testing methods to quickly identify infected patients as well as asymptomatic carriers, in order to prevent the spread of emerging viruses. Here, we developed a rapid testing strategy by scanning electron microscopy capable of detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and other respiratory viruses directly from patients. We evaluated our results by comparing them to real-time reverse transcription-polymerase chain reaction (RT-PCR) and metagenomic sequencing results. We correlated the presence of the SARS-CoV-2 to the viral load, where samples with Ct values lower than 18 were all detected by scanning electron microscopy (SEM). The sensitivity deacresed progressively with higher Ct values. In addition, we found a correlation with metagenomic sequencing, where all samples detected by SEM were sequenced and viral sequences were easily recovered. Following this study, SEM proved its efficiency as a frontline method for directly detecting previously unknown microorganisms that cannot be targeted by molecular methods and can cause potential outbreaks.

Indexed as

COVID-19SARS-CoV-2scanning electron microscopysequencingvirus detection

Identifiers

PMID33329483
PMCPMC7711091
OpenAlexW3098424104

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.