Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
Patients with SARS-CoV-2 infection carry an increased risk of cardiovascular disease encompassing various implications, including acute myocardial injury or infarction, myocarditis, heart failure, and arrhythmias. A growing volume of evidence correlates SARS-CoV-2 infection with myocardial injury, exposing patients to higher mortality risk. SARS-CoV-2 attacks the coronary arterial bed with various mechanisms including thrombosis/rupture of preexisting atherosclerotic plaque, de novo coronary thrombosis, endotheliitis, microvascular dysfunction, vasculitis, vasospasm, and ectasia/aneurysm formation. The angiotensin-converting enzyme 2 receptor plays pivotal role on the cardiovascular homeostasis and the unfolding of COVID-19. The activation of immune system, mediated by proinflammatory cytokines along with the dysregulation of the coagulation system, can pose an insult on the coronary artery, which usually manifests as an acute coronary syndrome (ACS). Electrocardiogram, echocardiography, cardiac biomarkers, and coronary angiography are essential tools to set the diagnosis. Revascularization is the first-line treatment in all patients with ACS and obstructed coronary arteries, whereas in type 2 myocardial infarction treatment of hypoxia, anemia and systemic inflammation are indicated. In patients presenting with coronary vasospasm, nitrates and calcium channel blockers are preferred, while treatment of coronary ectasia/aneurysm mandates the use of antiplatelets/anticoagulants, corticosteroids, immunoglobulin, and biologic agents. It is crucial to untangle the exact mechanisms of coronary involvement in COVID-19 in order to ensure timely diagnosis and appropriate treatment. We have reviewed the current literature and provide a detailed overview of the pathophysiology and clinical spectrum associated with coronary implications of SARS-COV-2 infection. Patients with SARS-CoV-2 infection carry an increased risk of cardiovascular disease encompassing various implications, including acute myocardial injury or infarction, myocarditis, heart failure, and arrhythmias. A growing volume of evidence correlates SARS-CoV-2 infection with myocardial injury, exposing patients to higher mortality risk. SARS-CoV-2 attacks the coronary arterial bed with various mechanisms including thrombosis/rupture of preexisting atherosclerotic plaque, de novo coronary thrombosis, endotheliitis, microvascular dysfunction, vasculitis, vasospasm, and ectasia/aneurysm formation. The angiotensin-converting enzyme 2 receptor plays pivotal role on the cardiovascular homeostasis and the unfolding of COVID-19. The activation of immune system, mediated by proinflammatory cytokines along with the dysregulation of the coagulation system, can pose an insult on the coronary artery, which usually manifests as an acute coronary syndrome (ACS). Electrocardiogram, echocardiography, cardiac biomarkers, and coronary angiography are essential tools to set the diagnosis. Revascularization is the first-line treatment in all patients with ACS and obstructed coronary arteries, whereas in type 2 myocardial infarction treatment of hypoxia, anemia and systemic inflammation are indicated. In patients presenting with coronary vasospasm, nitrates and calcium channel blockers are preferred, while treatment of coronary ectasia/aneurysm mandates the use of antiplatelets/anticoagulants, corticosteroids, immunoglobulin, and biologic agents. It is crucial to untangle the exact mechanisms of coronary involvement in COVID-19 in order to ensure timely diagnosis and appropriate treatment. We have reviewed the current literature and provide a detailed overview of the pathophysiology and clinical spectrum associated with coronary implications of SARS-COV-2 infection.
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.
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,451 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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 découle