The role of <scp>C</scp> ochrane reviews in informing international guidelines: a case study of using the <scp>G</scp> rading of <scp>R</scp> ecommendations, <scp>A</scp> ssessment, <scp>D</scp> evelopment and <scp>E</scp> valuation system to develop World Health Organization guidelines for the psychosocially assisted pharmacological treatment of opioid dependence
Bibliographic record
Abstract
BACKGROUND AND AIMS: The World Health Organization (WHO), and a growing number of other organizations, have adopted the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) system in order to both assess the quality of research evidence and develop clinical practice guidelines. In 2009 WHO published a guideline on psychosocially assisted pharmacological treatment of opioid dependence, based on the results of Cochrane Reviews summarized using the GRADE methodology. The main features of this system are an a priori definition of outcomes and their relevance, and distinction between the quality of evidence (also referred to as confidence in the estimate of intervention effect) and the strength of recommendations. We consider how successful this approach has been. ANALYSIS AND EVIDENCE: We discuss the merits and limitations of using Cochrane Reviews and GRADE framework in developing guidelines in the field of drug addiction. In 2009 a panel of multi-disciplinary international experts identified 15 clinical questions and eight relevant outcomes. Cochrane reviews were available for each clinical question and four outcomes. The panel formulated 15 recommendations. Eight recommendations were classified as strong, two of which were based on high-quality evidence and three on very low-quality evidence. For example, the strong recommendation to use methadone in adequate doses in preference to buprenorphine was based on high-quality evidence, while the strong recommendation not to use the combination of opioid antagonists with heavy sedation in the management of opioid withdrawal was based on low-quality evidence. CONCLUSIONS: An explicit stepwise process of moving from evaluation of the quality of evidence to the definition of the strength of recommendations is important in providing practical and clear clinical guidance for practitioners and policy-makers in addiction.
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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 | 0.006 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".