Quality appraisal of clinical practice guidelines and consensus statements on the use of biologic agents in rheumatoid arthritis: A systematic review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To evaluate the quality of clinical practice guidelines (CPGs) and consensus statements (CS) for the treatment of rheumatoid arthritis with tumor necrosis factor alpha (TNFalpha) antagonists. METHODS: We searched for CPGs and CS on the use of infliximab, etanercept, and/or adalimumab for the treatment of rheumatoid arthritis, published through October 10, 2006. Sources included electronic databases (Medline, EMBase, BIOSIS, etc.), guideline registries, and pertinent Web sites. Review of 4,915 citations revealed 16 CPGs and 20 CS. Two independent reviewers evaluated development methods of selected studies using the 23-item Appraisal of Guidelines for Research and Evaluation (AGREE) instrument and compared recommendations between guidelines. RESULTS: Of the 16 guidelines, only 5 (31%) were based on a systematic review of relevant research evidence. Only 4 (25%) of the guidelines fulfilled > or = 60% of the AGREE criteria. AGREE scores were lower for guidelines from rheumatology societies than government agencies when reporting scope and purposes (P = 0.03), stakeholder involvement (P = 0.03), and clarity and presentation (P = 0.01). Guidelines scored higher than CS in most domains. Overall, guideline recommendations were consistent with respect to the use of biologic agents after failure of disease-modifying antirheumatic drugs, but differed or did not provide specific guidance on tests for screening. CONCLUSION: Guidelines for introducing TNFalpha antagonists in rheumatoid arthritis often fail to meet expected methodologic criteria and therefore vary significantly in quality and with respect to some recommendations for patient assessment and management.
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.
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 | 0.026 | 0.482 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 it