Why Methodology Is Important: Coffee as a Candidate Treatment for COVID-19?

coronavirus disease 2019 (COVID-19) current therapies methodology symptomatic treatment trimethylxanthine

Journal

Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588

Informations de publication

Date de publication:
17 Nov 2020
Historique:
received: 12 10 2020
revised: 05 11 2020
accepted: 11 11 2020
entrez: 20 11 2020
pubmed: 21 11 2020
medline: 21 11 2020
Statut: epublish

Résumé

During this pandemic situation, some studies have led to hasty conclusions about Corona Virus Disease-19 (COVID-19) treatment, due to a lack of methodology. This pedagogic study aimed to highlight potential biases in research on COVID-19 treatment. We evaluate the effect of coffee's active part, 1,3,7-trimethylxanthine (TMX) on patients with COVID-19. A cohort of 93 patients, with a diagnosis of COVID-19 is analyzed. TMX group and control group included, respectively, 26 and 67 patients. In the TMX group, patients had a median length of stay in hospital of 5.5 days shorter than in the control group (9.5 vs. 15 days, Multiple biases prevents us from concluding to an effect of coffee on COVID-19. Despite an important social pressure during this crisis, methodology and conscientiousness are the best way to avoid hasty conclusions that can be deleterious for patients. Identifier: NCT04395742.

Sections du résumé

BACKGROUND BACKGROUND
During this pandemic situation, some studies have led to hasty conclusions about Corona Virus Disease-19 (COVID-19) treatment, due to a lack of methodology. This pedagogic study aimed to highlight potential biases in research on COVID-19 treatment.
METHODS METHODS
We evaluate the effect of coffee's active part, 1,3,7-trimethylxanthine (TMX) on patients with COVID-19. A cohort of 93 patients, with a diagnosis of COVID-19 is analyzed.
RESULTS RESULTS
TMX group and control group included, respectively, 26 and 67 patients. In the TMX group, patients had a median length of stay in hospital of 5.5 days shorter than in the control group (9.5 vs. 15 days,
CONCLUSIONS CONCLUSIONS
Multiple biases prevents us from concluding to an effect of coffee on COVID-19. Despite an important social pressure during this crisis, methodology and conscientiousness are the best way to avoid hasty conclusions that can be deleterious for patients. Identifier: NCT04395742.

Identifiants

pubmed: 33213035
pii: jcm9113691
doi: 10.3390/jcm9113691
pmc: PMC7698499
pii:
doi:

Banques de données

ClinicalTrials.gov
['NCT04395742']

Types de publication

Journal Article

Langues

eng

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Auteurs

Yaniss Belaroussi (Y)

INSERM, Bordeaux Population Health Research Center, ISPED, University of Bordeaux, 33000 Bordeaux, France.
Department of Neurosurgery, Centre Hospitalier Universitaire de Bordeaux, 33000 Bordeaux, France.

Paul Roblot (P)

INSERM, Bordeaux Population Health Research Center, ISPED, University of Bordeaux, 33000 Bordeaux, France.
Department of Neurosurgery, Centre Hospitalier Universitaire de Bordeaux, 33000 Bordeaux, France.

Nathan Peiffer-Smadja (N)

IAME, INSERM, Université de Paris, F-75006 Paris, France.
Service de Maladies Infectieuses et Tropicales, AP-HP Hôpital Bichat, F-75018 Paris, France.
National Institute for Health Research, Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London SW7 2AZ, UK.

Thomas Delaye (T)

Service de Maladies Infectieuses et Tropicales, CHU Poitiers, 86000 Poitiers, France.

Simone Mathoulin-Pelissier (S)

INSERM, Bordeaux Population Health Research Center, ISPED, University of Bordeaux, 33000 Bordeaux, France.
INSERM CIC1401, Clinical and Epidemiological Research Unit, Institut Bergonié, 33000 Bordeaux, France.

Joffrey Lemeux (J)

INSERM, Bordeaux Population Health Research Center, ISPED, University of Bordeaux, 33000 Bordeaux, France.
Department of Neurosurgery, Centre Hospitalier Universitaire de Bordeaux, 33000 Bordeaux, France.

Gwenaël Le Moal (G)

Service de Maladies Infectieuses et Tropicales, CHU Poitiers, 86000 Poitiers, France.
INSERM U1070, University of Poitiers, 86000 Poitiers, France.

Eric Caumes (E)

Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Pitié-Salpêtrière Charles Foix, Infectious Diseases Department, Pitié-Salpêtrière Hospital, 47-83 Boulevard de l'hôpital, 75013 Paris, France.
INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, Sorbonne University, 75013 Paris, France.
COVID SMIT PSL STUDY GROUP Infectious Diseases Department, Pitié-Salpêtrière Hospital, 47-83 Boulevard de l'hôpital, 75013 Paris, France.

France Roblot (F)

Service de Maladies Infectieuses et Tropicales, CHU Poitiers, 86000 Poitiers, France.
INSERM U1070, University of Poitiers, 86000 Poitiers, France.

Alexandre Bleibtreu (A)

Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Pitié-Salpêtrière Charles Foix, Infectious Diseases Department, Pitié-Salpêtrière Hospital, 47-83 Boulevard de l'hôpital, 75013 Paris, France.
INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, Sorbonne University, 75013 Paris, France.
COVID SMIT PSL STUDY GROUP Infectious Diseases Department, Pitié-Salpêtrière Hospital, 47-83 Boulevard de l'hôpital, 75013 Paris, France.

Classifications MeSH