CovidFranceV1, Main, Exploration, bibRecord, 001801

A snapshot of the ongoing clinical research on COVID-19.

Identifieur interne : 001801 ( Main/Exploration ); précédent : 001800; suivant : 001802

A snapshot of the ongoing clinical research on COVID-19.

Auteurs : Daniele Piovani [Italie] ; Claudia Pansieri [Italie] ; Laurent Peyrin-Biroulet [France] ; Silvio Danese [Italie] ; Stefanos Bonovas [Italie]

Source :

F1000Research [ 2046-1402 ] ; 2020.

RBID : pubmed:32518636

Descripteurs français

KwdFr :
- Betacoronavirus (MeSH), Essais cliniques comme sujet (MeSH), Humains (MeSH), Infections à coronavirus (traitement médicamenteux), Pandémies (MeSH), Pneumopathie virale (traitement médicamenteux), Recherche biomédicale (tendances).
MESH :
- tendances : Recherche biomédicale.
- traitement médicamenteux : Infections à coronavirus, Pneumopathie virale.
- Betacoronavirus, Essais cliniques comme sujet, Humains, Pandémies.

English descriptors

KwdEn :
- Betacoronavirus (MeSH), Biomedical Research (trends), Clinical Trials as Topic (MeSH), Coronavirus Infections (drug therapy), Humans (MeSH), Pandemics (MeSH), Pneumonia, Viral (drug therapy).
MESH :
- drug therapy : Coronavirus Infections, Pneumonia, Viral.
- trends : Biomedical Research.
- Betacoronavirus, Clinical Trials as Topic, Humans, Pandemics.

Abstract

The pandemic of coronavirus disease 2019 (COVID-19) presents an unprecedented challenge to rapidly develop new diagnostic, preventive and therapeutic strategies. Currently, thousands of new COVID-19 patients are quickly enrolled in clinical studies. We aimed to investigate the characteristics of the COVID-19 studies registered in ClinicalTrials.gov and report the extent to which they have incorporated features that are desirable for generating high-quality evidence. On April 28, 2020, a total of 945 studies on COVID-19 have been registered in ClinicalTrials.gov; 586 studies are interventional (62.0%), the most frequent allocation scheme is the parallel group assignment (437; 74.6%), they are open-label and the most common primary purpose is the research on treatment. Too many of the ongoing interventional studies have a small expected sample size and may not generate credible evidence at completion. This might lead to a delayed recognition of effective therapies that are urgently needed, and a waste of time and resources. In the COVID-19 pandemic era, it is crucial that the adoption of new diagnostic, preventive and therapeutic strategies is based upon evidence coming from well-designed, adequately powered and carefully conducted clinical trials.

DOI: 10.12688/f1000research.23843.1
PubMed: 32518636
PubMed Central: PMC7256468

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 000E67
to stream Main, to step Curation: 000E67

Le document en format XML

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<front><div type="abstract" xml:lang="en">The pandemic of coronavirus disease 2019 (COVID-19) presents an unprecedented challenge to rapidly develop new diagnostic, preventive and therapeutic strategies. Currently, thousands of new COVID-19 patients are quickly enrolled in clinical studies. We aimed to investigate the characteristics of the COVID-19 studies registered in ClinicalTrials.gov and report the extent to which they have incorporated features that are desirable for generating high-quality evidence. On April 28, 2020, a total of 945 studies on COVID-19 have been registered in ClinicalTrials.gov; 586 studies are interventional (62.0%), the most frequent allocation scheme is the parallel group assignment (437; 74.6%), they are open-label and the most common primary purpose is the research on treatment. Too many of the ongoing interventional studies have a small expected sample size and may not generate credible evidence at completion. This might lead to a delayed recognition of effective therapies that are urgently needed, and a waste of time and resources. In the COVID-19 pandemic era, it is crucial that the adoption of new diagnostic, preventive and therapeutic strategies is based upon evidence coming from well-designed, adequately powered and carefully conducted clinical trials.</div>
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</noRegion>
<name sortKey="Bonovas, Stefanos" sort="Bonovas, Stefanos" uniqKey="Bonovas S" first="Stefanos" last="Bonovas">Stefanos Bonovas</name>
<name sortKey="Bonovas, Stefanos" sort="Bonovas, Stefanos" uniqKey="Bonovas S" first="Stefanos" last="Bonovas">Stefanos Bonovas</name>
<name sortKey="Danese, Silvio" sort="Danese, Silvio" uniqKey="Danese S" first="Silvio" last="Danese">Silvio Danese</name>
<name sortKey="Danese, Silvio" sort="Danese, Silvio" uniqKey="Danese S" first="Silvio" last="Danese">Silvio Danese</name>
<name sortKey="Pansieri, Claudia" sort="Pansieri, Claudia" uniqKey="Pansieri C" first="Claudia" last="Pansieri">Claudia Pansieri</name>
<name sortKey="Pansieri, Claudia" sort="Pansieri, Claudia" uniqKey="Pansieri C" first="Claudia" last="Pansieri">Claudia Pansieri</name>
<name sortKey="Piovani, Daniele" sort="Piovani, Daniele" uniqKey="Piovani D" first="Daniele" last="Piovani">Daniele Piovani</name>
</country>
<country name="France"><region name="Grand Est"><name sortKey="Peyrin Biroulet, Laurent" sort="Peyrin Biroulet, Laurent" uniqKey="Peyrin Biroulet L" first="Laurent" last="Peyrin-Biroulet">Laurent Peyrin-Biroulet</name>
</region>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/CovidFranceV1/Data/Main/Exploration

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001801 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 001801 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    CovidFranceV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     pubmed:32518636
   |texte=   A snapshot of the ongoing clinical research on COVID-19.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i   -Sk "pubmed:32518636" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd   \
       | NlmPubMed2Wicri -a CovidFranceV1

This area was generated with Dilib version V0.6.37.
Data generation: Tue Oct 6 23:31:36 2020. Site generation: Fri Feb 12 22:48:37 2021

	Serveur d'exploration sur la COVID en France
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Serveur d'exploration sur la COVID en France

A snapshot of the ongoing clinical research on COVID-19.

A snapshot of the ongoing clinical research on COVID-19.

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki