Assessing the Methodological Quality of Glaucoma Clinical Practice Guidelines and Their Recommendations on Microinvasive Glaucoma Surgery: A Systematic Review
Notice bibliographique
Résumé
INTRODUCTION: Clinical practice guidelines (CPG) are regarded by many as critical communications providing guidance within specific medical fields. Over a decade ago, the first microinvasive glaucoma surgical (MIGS) procedures were introduced. Since then, a number of these novel intraocular pressure controlling surgical options have been approved worldwide. Governing bodies and health care administration often utilize CPGs when considering funding for newer technologies. This highlights the importance of well-written, accurate, and up-to-date CPGs in the rapidly evolving field of MIGS. If CPGs are unable to fill this role, their use in treatment decision-making is doing a disservice to patients, who will be denied currently available and potentially superior care. To determine the overall value of a CPG, the methodological quality with which it was developed, in addition to the current relevance and appropriateness of its recommendations, should be evaluated. The objective of the present study was to assess the methodological quality of currently available international glaucoma CPGs, as well as their coverage of MIGS as a surrogate marker of relevance and appropriateness to policy-makers and ophthalmologists alike. MATERIALS AND METHODS: To identify potentially relevant CPGs, a predefined search strategy was used to search the following databases: Medline, EMBASE, BIOSIS, and Web of Science. All CPGs related to adult glaucoma and published in English were included. CPG methodological quality was assessed by 3 individuals using the Appraisal of Guidelines for Research and Evaluation II (AGREE II) tool. Studies were then assessed for coverage of MIGS devices and procedures. RESULTS: Search strategy and subsequent screening identified 11 CPGs for analysis. Eight were of high quality according to the AGREE II criteria. Three included basic information on MIGS, but none provided specific recommendations regarding their indications or which patient populations would benefit most. CONCLUSIONS: Many international glaucoma CPGs are of high methodological quality. However, coverage of MIGS is sparse, nonspecific and in many instances, absent. This causes CPGs to be a suboptimal source in guiding physicians and health policy-makers in areas characterized by novel and/or rapidly evolving technologies. Mechanisms to incorporate updated evidence in CPGs would have to be considered before they can be used as a source of contemporary clinical decision-making.
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 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 | 0,106 | 0,591 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,012 | 0,004 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».