MétaCan
Menu
Retour à la cohorte
Enregistrement W3096792008 · doi:10.4103/aian.aian_652_20

Neurology and COVID-19: Time to burn the candle at both ends

2020· editorial· en· W3096792008 sur OpenAlexaboutno aff
AchalK Srivastava, Divyani Garg

Notice bibliographique

RevueAnnals of Indian Academy of Neurology · 2020
Typeeditorial
Langueen
DomaineMedicine
ThématiqueLong-Term Effects of COVID-19
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCandleCoronavirus disease 2019 (COVID-19)Medicine2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PandemicMedical emergencyVirologyInternal medicineEngineeringOutbreak

Résumé

récupéré en direct d'OpenAlex

Although the most prominent feature of SARS-CoV-2 infection is respiratory involvement, neurological manifestations continue to be increasingly reported from various centers, and a slew of systematic reviews summarizing the same in COVID-19 has emerged in recent literature.[1-4] Notably, multiple levels of neuraxial involvement as well as myriad putative mechanisms ranging from direct infiltration, retrograde transmission, para- and post-infectious immune-mediated mechanisms to explain neurological findings have been described. While we continue to accrue observational data on neurological conditions in patients infected with SARS-CoV-2, we must simultaneously answer one core question, that is, pertaining to causality. Are the neurological features that we report induced by infection with SARS-CoV-2 or are these mere associations? The appropriate tool by which this may be answered is a case-control study design, which is currently not feasible, considering challenges in determining exposure. In this scenario, the next best approach would be a collective effort to create and maintain a registry of COVID-19 patients with neurological conditions, as well as clear and transparent reports of observations which avoid being over-interpretative. Efforts are underway for the former in several countries. The Spanish Neurological Society [www.sen.es], amidst the ongoing pandemic, has created a registry of acute and subacute neurological conditions appearing in patients with SARS-CoV-2 infection. The CoroNerve Studies Group has been set up as a collaborative venture in the United Kingdom (www.CoroNerve.com). It has been learnt that an Indian registry is also being set up under the aegis of the World Federation of Neurology. As has been emphasized by Ellul et al., we must seek to define causality in COVID-19 by applying the Bradford Hill criteria, 1965, key principles of which include strength, specificity and consistency of association, biological plausibility, biological gradient, temporal relationship to proposed agent, and supportive experimental evidence.[5] While acute and subacute de novo neurological conditions continue to be reported, we also need to remember to be on the lookout for long-term or delayed neurological features and complications. Considering the SARS-CoV-1 as well as other historical paradigms, these may perhaps not be uncommon. Following the 2003 outbreak, a Canadian study reported chronic neurological concerns among 22 healthcare workers 13 to 26 months following SARS-CoV-1 infection. These included sleep disturbances with increased Rapid Eye Movement (REM) apneas/hypopneas, depression, myalgias, persistent fatigue, and increased sleep Electroencephalography (EEG) cyclical alternating pattern.[6] Encephalitis lethargica, a form of Parkinsonism, was reported following the 1918–1920 influenza epidemic although epidemiological analyses later suggested that these disorders were possibly co-incidental.[7] Moreover, while we grapple with COVID-19 and its neurological ramifications, let us not forget the non-COVID patients with neurological illnesses. A comprehensive stroke center in Canada has preliminarily documented declining stroke rates, with an average fall of 38% in new stroke cases during the COVID-19 period which was mostly attributable to the smaller proportion of patients accessing healthcare services.[8] Certainly, practical barriers to implementing and sustaining the continuity of neurological care in patients without COVID-19 are tremendous despite which care must be ensured to avoid corollary damage to this group of patients. It is also clear that most of the data on neurological involvement in COVID-19 is anecdotal and fragmentary and likely represents the tip of the iceberg; epidemiological studies would serve as optimal vehicles to answer questions not only related to the neurology of COVID-19 but the disease itself. As neurologists, the battle against COVID-19 is going to be long and hard-won, and we must continue to keep our noses to the grindstone.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,023
score de la tête « metaresearch » (Gemma)0,070
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,065
Score d'incertitude au seuil0,217

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0230,070
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0040,003
Bibliométrie0,0030,003
Études des sciences et des technologies0,0050,006
Communication savante0,0110,034
Science ouverte0,0040,009
Intégrité de la recherche0,0180,026
Charge utile insuffisante (le modèle a refusé de juger)0,0650,026

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.

Tête enseignante Opus0,029
Tête enseignante GPT0,347
Écart entre enseignants0,318 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueAnnals of Indian Academy of NeurologyMême sujetLong-Term Effects of COVID-19Travaux en français237 207