Representation of published core outcome sets in practice guidelines
Bibliographic record
Abstract
OBJECTIVES: A core outcome set (COS) is an agreed standardized set of outcomes that should be measured and reported, as a minimum, in specific areas of health or health care. A COS is developed through a consensus process to ensure health care outcomes to be measured are relevant to decision-makers, including patients and health-care professionals. Use of COS in guideline development is likely to increase the relevance of the guideline to those decision-makers. Previous work has looked at the uptake of COS in trials, systematic reviews, health technology assessments and regulatory guidance but to date there has been no evaluation of the use of COS in practice guideline development. The objective of this study was to investigate the representation of core outcomes in a set of international practice guidelines. STUDY DESIGN AND SETTING: We searched for clinical guidelines relevant to ten high-quality COS (with focus on the United Kingdom, Germany, China, India, Canada, Denmark, United States and World Health Organisation). We matched scope between COS and guideline in terms of condition, population and outcome. We calculated the proportion of guidelines mentioning or referencing COS and the proportion of COS domains specifically, or generally, matching to outcomes specified in each guideline populations, interventions, comparators and outcome (PICO) statement. RESULTS: We found 38 guidelines that contained 170 PICO statements matching the scope of the ten COS and of sufficient quality to allow data extraction. None of the guidelines reviewed explicitly mentioned or referenced the relevant COS. The median (range) of the proportion of core outcomes covered either specifically or generally by the guideline PICO was 30% (0%-100%). CONCLUSION: There is no evidence that COS are being used routinely to inform the guideline development process, and concordance between outcomes in published guidelines and those in COS is limited. Further work is warranted to explore barriers and facilitators in the use of COS when developing clinical guidelines.
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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 | 0.303 | 0.781 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.042 | 0.043 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.006 | 0.011 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".