Level of Evidence of Guidelines for Perioperative Management of Patients With Obstructive Sleep Apnea: An Evaluation Using the Appraisal of Guidelines for Research and Evaluation II Tool
Bibliographic record
Abstract
Currently, the quality of guidelines for the perioperative management of patients with obstructive sleep apnea (OSA) is unknown, leaving anesthesiologists to make perioperative management decisions with some degree of uncertainty. This study evaluated the quality of clinical practice guidelines regarding the perioperative management of patients with OSA. This study was reported in compliance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A systematic search of the MedlineALL (Ovid) database was conducted from inception to February 26, 2021, for clinical practice guidelines in the English language. Quality appraisal of guidelines was evaluated using the Appraisal of Guidelines for Research and Evaluation II (AGREE II) framework. Descriptive statistical analysis of each of the 6 domains was expressed as a percentage using the formula: (obtained score - minimum possible score)/(maximum possible score - minimum possible score). Of 192 articles identified in the search, 41 full texts were assessed for eligibility, and 10 articles were included in this review. Intraclass correlation coefficients of the AGREE II scores across the 7 evaluators for each guideline were each >0.9, suggesting that the consistency of the scores among evaluators was high. Sixty percent of recommendations were based on evidence using validated methods to grade medical literature, while the remainder were consensus based. The median and range scores of each domain were: (1) scope and purpose, 88% (60%-95%); (2) stakeholder involvement, 52% (30%-82%); (3) rigor of development, 67% (40%-90%); (4) clarity of presentation, 74% (57%-88%); (5) applicability, 46% (20%-73%); and (6) editorial independence, 67% (19%-83%). Only 4 guidelines achieved an overall score of >70%. This critical appraisal showed that many clinical practice guidelines for perioperative management of patients with OSA used validated methods to grade medical literature, such as Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) and Oxford classification, with lower scores for stakeholder involvement due to lack of engagement of patient partners and applicability domain due to lack of focus on the complete perioperative period such as postdischarge counseling. Future efforts should be directed toward establishing higher focus on the quality of evidence, stakeholder involvement, and applicability to the wider perioperative patient experience.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".