Review and Critical Appraisal of Clinical Practice Guidelines of Modalities Used in the Diagnosis of Celiac Disease
Bibliographic record
Abstract
Background: There is controversy over the recommendations for specific serological strategies implemented and the need for a biopsy to confirm celiac disease (CeD). We reviewed and appraised the current clinical practice guidelines (CPGs) to assess the quality and reliability of recommendations for CeD diagnosis in pediatric and adult populations. Methods: We searched databases, including MEDLINE, EMBASE, Web of Science, and CINAHL, between December 2010 and January 2021 for CPGs. Four independent reviewers extracted data. Appraisal of Guidelines Research and Evaluation (AGREE II) criteria were applied by two reviewers, and a standardized score was calculated for each of the six domains. A cut-off of 60% was used to identify high-quality guidelines. Results: A total of 654 records were identified, 10 of which were eligible for data extraction. Both adult and pediatric CPGs averaged above 70% for the domains of 'scope and purpose' and 'clarity and presentation'. For 'stakeholder involvement', the mean adult and pediatric CPG scores were below the cut-off. Only one adult-focused guideline exceeded the cut-off for the 'rigour of development' domain. 'Applicability' scores were most alarming, with adult CPGs averaging 21% and pediatric CPGs averaging 23%. Conclusion: Our review and appraisal of the CPGs for the diagnosis of CeD highlight significant discrepancies in clinical recommendations and some concerns regarding methodological rigour, particularly in stakeholder engagement, rigour, and applicability. Creating a Canadian guideline of high methodological quality that overcomes these weaknesses is critical to optimize patient care and ensuring accurate diagnoses in CeD.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.176 | 0.574 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.011 | 0.009 |
| Bibliometrics | 0.043 | 0.035 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.011 | 0.006 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".