Hydroxychloroquine in Nonhospitalized Adults With Early COVID-19
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Résumé
LettersMarch 2021Hydroxychloroquine in Nonhospitalized Adults With Early COVID-19FREEAnusuya Bhattacharyya, MBBS, DO, DNB (Ophthalmology), Phulen Sarma, MBBS, MD, DM (Clinical Pharmacology), PDCR, Hardeep Kaur, MSc, Bikash Medhi, MBBS, MD, MAMSAnusuya Bhattacharyya, MBBS, DO, DNB (Ophthalmology)Government Medical College & Hospital, Chandigarh, IndiaSearch for more papers by this author, Phulen Sarma, MBBS, MD, DM (Clinical Pharmacology), PDCRPostgraduate Institute of Medical Education and Research, Chandigarh, IndiaSearch for more papers by this author, Hardeep Kaur, MScPostgraduate Institute of Medical Education and Research, Chandigarh, IndiaSearch for more papers by this author, Bikash Medhi, MBBS, MD, MAMSPostgraduate Institute of Medical Education and Research, Chandigarh, IndiaSearch for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/L21-0001 SectionsAboutVisual AbstractPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail TO THE EDITOR: Skipper and colleagues' multicenter trial (1) was conducted in 2 locations (the United States and Canada) with the intention of evaluating the absolute therapeutic efficacy of HCQ in symptomatic, nonhospitalized adults with COVID-19. Patients were randomly assigned to either the HCQ or placebo group. While evaluating the composition of the placebo regimen, we noted that a folic acid tablet, 400 mcg, was used as placebo in the U.S. population and a lactose tablet in the Canadian population.In in silico studies, folic acid acted as a good binder against severe acute respiratory syndrome coronavirus 2 furin (which is required for viral entry to the host cell) (2). In clinical studies, Itelman and associates (3) reported lower blood folic acid levels among patients with severe disease than in their counterparts with mild disease. Pregnant women seem to be less likely to require hospitalization for COVID-19 (4), and Acosta-Elias and Espinosa-Tanguma (4) postulated that folic acid uptake may be the protective factor. Use of Angiovit (Altayvitaminy), an agent containing folic acid and vitamin B12, has been associated with a shorter duration of “hospital stay” and “fever” compared with mainstay therapy (5). Several trials evaluating folic acid as a therapeutic agent in COVID-19 are currently under way (https://clinicaltrials.gov/ct2/show/NCT04354428 and https://covid-19.cochrane.org/studies/crs-15322074).Skipper and colleagues concluded that there was no statistically significant difference in “COVID-19–related symptoms,” “incidence of hospitalization,” and “death” between both groups. This comparable efficacy does not indicate the absolute efficacy of HCQ; rather, it indicates the comparative efficacy between HCQ and folic acid, and both performed equally. Again, rather than describing this trial as “placebo controlled,” it would be better classified as a “head-on” comparison between HCQ and folic acid.References1. Skipper CP, Pastick KA, Engen NW, et al. Hydroxychloroquine in nonhospitalized adults with early COVID-19. A randomized trial. Ann Intern Med. 2020;173:623-31. doi:10.7326/M20-4207 LinkGoogle Scholar2. Sheybani Z, Dokoohaki MH, Negahdaripour M, et al. The role of folic acid in the management of respiratory disease caused by COVID-19. ChemRxiv. Preprint posted online 30 March 2020. doi:10.26434/chemrxiv.12034980.v1 Google Scholar3. Itelman E, Wasserstrum Y, Segev A, et al. Clinical characterization of 162 COVID-19 patients in Israel: preliminary report from a large tertiary center. Isr Med Assoc J. 2020;22:271-4. [PMID: 32378815] MedlineGoogle Scholar4. Acosta-Elias J, Espinosa-Tanguma R. The folate concentration and/or folic acid metabolites in plasma as factor for COVID-19 infection. Front Pharmacol. 2020;11:1062. [PMID: 32765270] doi:10.3389/fphar.2020.01062 CrossrefMedlineGoogle Scholar5. Boyko AN, Shamalov NA, Boyko OV, et al. The first experience with Angiovit in the combination treatment of acute COVID-19 infection. Neurology, Neuropsychiatry, Psychosomatics. 2020;12:82-6. doi:10.14412/2074-2711-2020-3-82-86 Google Scholar Comments 0 Comments Sign In to Submit A Comment Author, Article, and Disclosure InformationAuthors: Anusuya Bhattacharyya, MBBS, DO, DNB (Ophthalmology); Phulen Sarma, MBBS, MD, DM (Clinical Pharmacology), PDCR; Hardeep Kaur, MSc; Bikash Medhi, MBBS, MD, MAMSAffiliations: Government Medical College & Hospital, Chandigarh, IndiaPostgraduate Institute of Medical Education and Research, Chandigarh, IndiaDisclosures: Authors have disclosed no conflicts of interest. Forms can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=L21-0001. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoHydroxychloroquine in Nonhospitalized Adults With Early COVID-19 Caleb P. Skipper , Katelyn A. Pastick , Nicole W. Engen , Ananta S. Bangdiwala , Mahsa Abassi , Sarah M. Lofgren , Darlisha A. Williams , Elizabeth C. Okafor , Matthew F. Pullen , Melanie R. Nicol , Alanna A. Nascene , Kathy H. Hullsiek , Matthew P. Cheng , Darlette Luke , Sylvain A. Lother , Lauren J. MacKenzie , Glen Drobot , Lauren E. Kelly , Ilan S. Schwartz , Ryan Zarychanski , Emily G. McDonald , Todd C. Lee , Radha Rajasingham , and David R. Boulware Hydroxychloroquine in Nonhospitalized Adults With Early COVID-19 Claudia N. Paiva , Daniel V. Tausk Hydroxychloroquine in Nonhospitalized Adults With Early COVID-19 Bruno Luís de Castro Araujo Hydroxychloroquine in Nonhospitalized Adults With Early COVID-19 Caleb P. Skipper , David R. 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Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».