Evidence map›Paper›PMID 34976868›Full record

ArticleFrontiers in cellular and infection microbiology2021

Earlier

Samuel Lebourgeois, Houssem Redha Chenane, Nadhira Houhou-Fidouh, Reyene Menidjel, Valentine Marie Ferré, Gilles Collin, Nabil Benmalek, Romain Coppée, Lucile Larrouy, Yazdan Yazdanpanah and 4 more

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Samuel LebourgeoisUniversité de Paris, Infection Antimicrobials Modelling Evolution (IAME), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France.
Houssem Redha ChenaneUniversité de Paris, Infection Antimicrobials Modelling Evolution (IAME), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France.
Nadhira Houhou-FidouhAssistance Publique - Hôpitaux de Paris (AP-HP), University Hospital Bichat-Claude Bernard, Laboratoire de Virologie, Paris, France.
Reyene MenidjelUniversité de Paris, Infection Antimicrobials Modelling Evolution (IAME), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France.
Valentine Marie FerréUniversité de Paris, Infection Antimicrobials Modelling Evolution (IAME), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France.
Gilles CollinUniversité de Paris, Infection Antimicrobials Modelling Evolution (IAME), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France.
Nabil BenmalekAssistance Publique - Hôpitaux de Paris (AP-HP), University Hospital Bichat-Claude Bernard, Laboratoire de Virologie, Paris, France.
Romain CoppéeUniversité de Paris, Infection Antimicrobials Modelling Evolution (IAME), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France.
Lucile LarrouyUniversité de Paris, Infection Antimicrobials Modelling Evolution (IAME), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France.
Yazdan YazdanpanahUniversité de Paris, Infection Antimicrobials Modelling Evolution (IAME), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France.
Jean-François TimsitUniversité de Paris, Infection Antimicrobials Modelling Evolution (IAME), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France.
Charlotte CharpentierUniversité de Paris, Infection Antimicrobials Modelling Evolution (IAME), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France.
Diane DescampsUniversité de Paris, Infection Antimicrobials Modelling Evolution (IAME), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France.
Benoit VisseauxUniversité de Paris, Infection Antimicrobials Modelling Evolution (IAME), Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since its emergence in China at the end of 2019, SARS-CoV-2 has rapidly spread across the world to become a global public health emergency. Since then, the pandemic has evolved with the large worldwide emergence of new variants, such as the Alpha (B.1.1.7 variant), Beta (B.1.351 variant), and Gamma (P.1 variant), and some other under investigation such as the A.27 in France. Many studies are focusing on antibody neutralisation changes according to the spike mutations, but to date, little is known regarding their respective replication capacities. In this work, we demonstrate that the Alpha variant provides an earlier replication

Indexed as

COVID-19SARS-CoV-2Viral LoadHumansKineticsPandemicsalphainfectious titresreplication cycleSARS-CoV-2variants

Identifiers

PMID34976868
PMCPMC8716835

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.