Screening for osteoporosis: A systematic assessment of the quality and content of clinical practice guidelines, using the AGREE II instrument and the IOM Standards for Trustworthy Guidelines
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
BACKGROUND: Numerous clinical practice guidelines (CPGs) are published to guide management of osteoporosis. Little is known about their quality or how recommendations have changed over time. OBJECTIVE: To systematically assess the quality and content of the guidelines on screening for osteoporosis, using the Appraisal of Guidelines for Research and Evaluation (AGREE II) tool, and the Institute of Medicine (IOM) standards for trustworthy guidelines. METHODS: We conducted a systematic search for osteoporosis CPGs published between 2002-2016, using multiple databases and guideline websites. Two reviewers appraised the quality of eligible CPGs using the AGREE II. High quality CPGs were considered if they scored ≥ 60 in four or more domains including the domain for rigor of development. Non-parametric tests were used to test for the change of quality over time. One reviewer assessed the guidelines with IOM standards. We summarized the different evidence grading systems and extracted and compared the recommendations. RESULTS: A total of 33 CPGs were identified. The mean scores for AGREE II differed by domain (range: 42% to 71%). CPGs scored higher on domains for clarity of presentation, scope and purpose, and rigor of development. CPGs scored lower on domains for stakeholder involvement, editorial independence and applicability. Assessment of CPGs by IOM standards showed that CPGs scored better on standards for systematic review, establishing evidence foundation and rating strength of recommendation, articulation of recommendation, and establishing transparency. While scored lower on standards for updating, external review, and the development group composition. There was no difference in AGREE II and IOM defined guidelines' quality before and after the introduction of the two tools (P values >0.05). The IOM identified four more guidelines as high quality compared to the AGREE II. Examining these additional guidelines indicated that the two tools may give conflicting results especially for the rigor of development domain. Recommendations in certain areas showed substantial differences between guidelines. CONCLUSION: Osteoporosis screening CPGs are of variable quality, and their recommendations often differ. Guideline quality as measured by AGREE II and IOM standards has not improved overtime. Guideline developers should work together to improve the quality and consistency of recommendations to improve the likelihood that their guidelines will be used in practice.
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 | 0,058 | 0,276 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,005 | 0,001 |
| 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 | 0,001 |
| 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 découle