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Enregistrement W6906494032 · doi:10.17605/osf.io/67sqv

Evaluation of the Quality of Guidelines for the Treatment of Symptoms of Dengue, Zika, and Chikungunya and Management of the Aedes aegypti Mosquito

2024· other· en· W6906494032 sur OpenAlexaboutno aff

Notice bibliographique

RevueOpen Science Framework · 2024
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésChikungunyaAedes aegyptiDiseaseQuality (philosophy)MalariaPublic healthTransmission (telecommunications)Health care

Résumé

récupéré en direct d'OpenAlex

1. INTRODUCTION Arboviruses such as Dengue, Zika, and Chikungunya are caused by the DENV, ZIKV, and CHIKV viruses, respectively[1-3]. Symptoms include fever, skin rash, nausea, vomiting, conjunctivitis, easy bleeding, body pain, and hematological changes. Severe complications like Guillain-Barré syndrome, neuropathies, myelitis, hemorrhage, fetal malformations, miscarriages, premature births, and death can occur[2-4]. The treatment for these diseases is symptomatic, generally involving the use of paracetamol or dipyrone, hydration, and rest[5]. Transmission occurs mainly through mosquitoes of the Aedes genus in tropical and subtropical regions, including around 128 countries[6]. In Brazil, the Aedes aegypti mosquito is the primary vector, and mosquito control is the most effective measure to curb the spread of these arboviruses, mainly by eliminating standing water sites necessary for the hatching of eggs[3, 5]. To guide effective public policies in disease treatment and vector control, it is crucial to gather relevant scientific evidence and develop guiding documents known as guidelines[7]. Health guidelines are important tools for improving the quality of healthcare services[8-10] and can be divided into clinical practice guidelines (CPGs) and health system guidelines (HS). CPGs provide recommendations based on systematic reviews to optimize patient care[11, 12], while health system guidelines offer solutions for policy development in health systems[13-15]. To ensure the quality in the development and purpose of these guidelines, tools have been developed since the early 1990s. Today, the most widely used are from the AGREE collaboration: AGREE II[16]– methodological quality of clinical guidelines; AGREE REX[17]– excellence of recommendations; and AGREE HS[18]– methodological quality of health system guidelines. 1.1 JUSTIFICATION According to the latest epidemiological bulletin from the Ministry of Health, covering the first 7 epidemiological weeks of 2024, the number of probable dengue cases has tripled compared to the same period in 2023, primarily affecting the Southeast, Midwest, South, and North regions of Brazil, with around 700,000 Brazilians affected by the disease. For the same period, approximately 40% of the Chikungunya cases from 2023 have already been recorded (about 150,000)[19]. Thus, considering the dengue epidemic, the large number of Chikungunya cases, and a likely increase in Zika cases, effective sanitary measures are needed to combat these arboviruses, either through mosquito management or symptom treatment, justifying the comparison and verification of the methodological quality and recommendations of existing guidelines. 1.2 OBJECTIVES 1.2.1 General Objective To evaluate the methodological quality and recommendations for the treatment of symptoms of Dengue, Zika, and Chikungunya and for the management of Aedes aegypti mosquitoes. 1.2.2 Specific Objectives Evaluate and compare the methodological quality of the guidelines. Evaluate and compare treatment recommendations for diseases and mosquito management. 1. Guzman, M.G., et al., Dengue: a continuing global threat. Nat Rev Microbiol, 2010. 8(12 Suppl): p. S7-16. 2. Krauer, F., et al., Zika Virus Infection as a Cause of Congenital Brain Abnormalities and Guillain-Barré Syndrome: Systematic Review. PLoS Med, 2017. 14(1): p. e1002203. 3. Weaver, S.C. and W.K. Reisen, Present and future arboviral threats. Antiviral Res, 2010. 85(2): p. 328-45. 4. de Araújo, T.V.B., et al., Association between microcephaly, Zika virus infection, and other risk factors in Brazil: final report of a case-control study. Lancet Infect Dis, 2018. 18(3): p. 328-336. 5. Soni, S., et al., Dengue, Chikungunya, and Zika: The Causes and Threats of Emerging and Re-emerging Arboviral Diseases. Cureus, 2023. 15(7): p. e41717. 6. Brady, O.J., et al., Refining the global spatial limits of dengue virus transmission by evidence-based consensus. PLoS Negl Trop Dis, 2012. 6(8): p. e1760. 7. Schunemann, H.J., et al., Guidelines 2.0: systematic development of a comprehensive checklist for a successful guideline enterprise. Canadian Medical Association Journal, 2014. 186(3): p. E123-E142. 8. Woolf, S.H., Practice guidelines: a new reality in medicine. I. Recent developments. Arch Intern Med, 1990. 150(9): p. 1811-8. 9. Woolf, S.H., et al., Clinical guidelines: potential benefits, limitations, and harms of clinical guidelines. BMJ, 1999. 318(7182): p. 527-30. 10. Harris, R.P., et al., Current methods of the US Preventive Services Task Force: a review of the process. Am J Prev Med, 2001. 20(3 Suppl): p. 21-35. 11. IOM, Institute of Medicine. Committee on Standards for Developing Trustworthy Clinical Practice, Guidelines. Clinical Practice Guidelines We Can Trust., ed. R. Graham, et al. 2011, Washington (DC): National Academies Press. 12. IOM, Institute of Medicine. Clinical Practice Guidelines: Directions for a New Program, ed. M.J. Field and K.N. Lohr. 1990, Washington, DC: The National Academies Press. 168. 13. Ako-Arrey, D.E., et al., Health systems guidance appraisal--a critical interpretive synthesis. Implement Sci, 2016. 11(1): p. 9. 14. Ako-Arrey, D.E., et al., Health system guidance appraisal--concept evaluation and usability testing. Implement Sci, 2016. 11: p. 3. 15. Brouwers, M.C., et al., Validity and usability testing of a health systems guidance appraisal tool, the AGREE-HS. Health Res Policy Syst, 2018. 16(1): p. 51. 16. Brouwers, M.C., et al., AGREE II: advancing guideline development, reporting and evaluation in health care. CMAJ, 2010. 182(18): p. E839-42. 17. Florez, I.D., et al., Assessment of the quality of recommendations from 161 clinical practice guidelines using the Appraisal of Guidelines for Research and Evaluation–Recommendations Excellence (AGREE-REX) instrument shows there is room for improvement. Implementation Science, 2020. 15(1): p. 79. 18. Brouwers, M.C., et al., Assessment of health systems guidance using the Appraisal of Guidelines for Research and Evaluation - Health Systems (AGREE-HS) instrument. Health Policy, 2019. 123(7): p. 646-651.

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,011
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,535
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0110,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,002
Études des sciences et des technologies0,0000,003
Communication savante0,0000,000
Science ouverte0,0030,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,213
Tête enseignante GPT0,499
Écart entre enseignants0,287 · 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 tête enseignante, pas un consensus.

Devis d'étudeAutre devis
Domainenon disponible
GenreEmpirique

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
Publié2024
Routes d'admission1
Résumé présentoui

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