Covid-19 e saúde baseada em evidências: diretrizes clínicas, laboratoriais, terapêuticas e de prognóstico
Notice bibliographique
Résumé
Introduction: The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has been increasing and has become a public health emergency. There is limited evidence on the outcomes of COVID-19 in patients when associated with other clinical conditions. Objective: To detect clinical, laboratory, therapeutic and prognostic guidelines, through evidence-based medicine, in situations involving patients infected with SARV-COV-2 associated with other clinical conditions. Methods: These are seven systematic reviews and meta-analyses, which followed the guidelines of PRISMA and MORSE, being registered in PROSPERO. PubMed, Web of Science, Embase, CINAHAL, LILACS, clinictrials.gov, SCOPUS, Google Scholar, and Cochrane, was the study bases used for articles published from December 2019 to February 2021. The primary outcomes were morbidity and mortality. Three independent reviewers selected the studies and extracted data from the original publications. The risk of bias was assessed using the Newcastle-Ottawa Scale for observational studies and RoB 2 for a randomized clinical trial. To assess the strength of evidence of the data included, the Assessment, Development, and Assessment of Classification of Recommendation (GRADE) method were used. Data synthesis was performed qualitatively. To assess heterogeneity, he calculated I2 (Higgins test). When applicable, quantitative synthesis was performed using R statistical software. Result: COVID-19 and Pregnancy: 70 articles were included involving 10047 pregnant women with COVID-19. The most common symptoms were: fever, cough, chest pain, dyspnea, nasal congestion, sore throat, headache, myalgia, anosmia, ageusia, nausea, vomiting, diarrhea, tachypnea, tachycardia, fatigue and oxygen desaturation. The main type of delivery was cesarean (42% [CI 95%; 0.38; 0.47]; I2 = 92%). There were 108 deaths (2% [CI 95%, 0.01; 0.03]; I2 = 46%) and 50 abortions (15% [CI 95%; 0.11; 0.21]; I2 = 73%] Ventilatory support, ICU admission, and pneumonia were unfavorable outcomes. Lymphopenia, increased CRP, and liver were complications during pregnancy. Of the neonatal outcomes: fetal distress (11% [CI 95%; 0.06; 0.19; I2 = 91 %], birth weight (15% [CI 95%; 0.10; 0.21; I2 = 76%]; APGAR less than 7 (9% [CI 96%; 0.03; 0.27; I2 = 26%], admission to the NICU (25% [CI 95%; 0.15; 0.39; I2 = 90%] and fetal stress (11% [CI 95%; 0.06; 0.19; I2 = 91 %] were more prevalent. There is no evidence of COVID-19 in placenta, breast milk, umbilical cord, and amniotic fluid. COVID-19 and HIV/AIDS: Chest CT has been observed in patients with SARS-CoV-2 pneumonia with findings of multiple ground-glass opacities (GGO) in the lungs, requiring supplemental oxygenation. One patient developed complicated encephalopathy and tonic-clonic seizures; four patients were transplanted (two liver; two kidneys), one patient developed severe SARS-CoV-2 pneumonia, and 30 patients died (mortality rate, 11%). COVID-19 and Guillain Bare Syndrome (GBS): The main manifestations were fever, cough, dyspnea, sore throat, ageusia, anosmia, and respiratory failure, in addition to upper and lower limb anesthesia, tetraparesis, facial diplegia, coldness, asthenia, mastoid pain, back pain, dizziness and back pain. Conclusion: The outcomes of COVID-19 in patients when associated with other clinical conditions (Pregnancy, HIV, and GBS) are similar to healthy individuals. However, there are relevant differences in morbidity and mortality.
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 | 0,043 | 0,149 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,005 | 0,005 |
| Bibliométrie | 0,012 | 0,012 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,008 | 0,005 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 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 ».