Notice bibliographique
Résumé
We thank Liu et al. for their interest in our paper1 and for initiating an important discussion about using Appraisal of Guidelines for Research and Evaluation (AGREE) tools to evaluate the quality of guidelines. We would like to emphasize that the main purpose of our scoping review was to identify and synthesize outpatient rehabilitation assessment and treatment recommendations for adults continuing to experience signs and symptoms of postacute COVID-19. Secondarily, because we anticipated that several sources of recommendations would not be traditional clinical practice guidelines (given the urgency to provide information to clinicians in a pandemic), we thought it important to provide a relatively simple yet relevant evaluation of the quality and transparency of development of the recommendations identified in the scoping review to assist readers in interpreting our results. However, the main purpose of our study was not to evaluate treatment guideline recommendations. Although we did conduct a critical appraisal of all included studies, we reported results only for the 4 consensus guidelines (Table 3 in our article). All other studies did not meet the majority of our chosen criteria because they were not designed to provide systematically and rigorously developed guidelines. We believe that this result in and of itself (ie, that the majority of recommendations were not developed in a systematic or rigorous manner), provides valuable context for our readers. In determining how best to assess recommendations, we did consider items from the AGREE II as well as from the AGREE-REX. The 2 lead authors completed the AGREE II training tutorials and used the AGREE II in previously published research.2 Although we agree that the AGREE II assesses the quality of the entire guideline development process, its authors state the purpose more broadly as “to provide a framework to: 1) assess the quality of guidelines, 2) provide a methodological strategy for the development of guidelines; and 3) inform what information and how information ought to be reported in guidelines.”3 We found items in the AGREE II that were relevant for our purposes. We did not use the entire AGREE II tool because we anticipated that many of the items would not be relevant for the recommendation papers we were likely to find. We acknowledge that it would be more accurate to state that we used selected items from the AGREE II to inform our critical appraisal. It was not our intention to imply that we used the AGREE II tool in its entirety or that we followed recommended practices (eg, rating each statement on the designated 7-point scale). Rather, we thought that the answers to the standardized items (selected from 3 of the 6 AGREE II domains) would help clinicians to better understand the background of recommendations provided in the identified literature. This is why we did not report a numerical score, but rather yes/no answers to the statements selected from the AGREE IItool. In their letter, Liu et al. have suggested that the AGREE II focuses on methodological quality and does not evaluate the evidence behind the recommendations. In assessing the quality of guidelines (the first stated purpose of AGREE II),2 the tool does provide some statements to evaluate evidence (in Domain 3, Rigour of Development). For example, item #9 asks the assessor to determine whether “the strengths and limitation of the body of evidence are clearly described”; item #12 asks whether “there is an explicit link between the recommendations and the supporting evidence”; and item #13 asks whether “the guideline has been externally reviewed by experts prior to its publication”.2 We included statements #9 and #13 in the 7 questions we selected to use in our critical appraisal. Liu et al. have suggested that it may have been more appropriate for us to use the AGREE-REX in our study. We did review the AGREE-REX before deciding on our methods. Both the AGREE II and the AGREE-REX deal with evaluating quality of guidelines,3,4 and the authors of the AGREE-REX state that the tool is meant to complement the AGREE II by including items that address clinical credibility, consideration of values of all stakeholders, and implementability of the recommendations.3 In evaluating the criteria listed for each item in the AGREE-REX, we found some overlap with items from the AGREE II. For example, AGREE-REX #1 provides 8 criteria that can be used to evaluate the evidence supporting the recommendations. These criteria are similar to criteria included in items #7 and #9 from the AGREE II. As another example, AGREE-REX #5 includes 4 criteria related to the values and preferences of patients/populations. These criteria are similar to AGREE II #5, which asks whether the views and preferences of the target population have been sought. Overall, we found quite a bit of similarity between items that we thought were relevant for our purposes from the AGREE II and AGREE-REX tools. We felt the wording of the items chosen from the AGREE II was straightforward and provided enough clarity for clinicians to understand aspects related to the quality and transparency of development of the recommendations. We thank Liu et al. for drawing attention to the different AGREE tools available to evaluate guidelines relevant to clinical practice. We agree that it would not be appropriate to suggest that using only select questions from the AGREE II—and providing only a yes/no evaluation (vs rating on the recommended 7-point scale after assessing all suggested criteria for each item)—could provide the same degree of information about guideline quality and development as that obtained through proper use of the entire tool. Our intention was simply to conduct a brief appraisal to provide some context for clinicians to better understand the included studies, according to a simplified set of criteria that we did not develop on our own but that we extracted from items in the AGREE II tool.
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 | 0,012 | 0,113 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,005 | 0,004 |
| Communication savante | 0,009 | 0,003 |
| Science ouverte | 0,004 | 0,004 |
| Intégrité de la recherche | 0,059 | 0,033 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,059 | 0,046 |
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 ».