Analysis of the quality of clinical practice guidelines on established ischemic stroke
Bibliographic record
Abstract
OBJECTIVES: To catalogue and comparatively assess the quality of Clinical Practice Guidelines (CPG) for ischemic stroke taking into account format and development methodology. METHODS: We performed a comprehensive, systematic bibliographic search of CPGs addressing the management of ischemic stroke. We designed a sensitive strategy, using methodological filters in the following databases: Medline, IME and Lilacs, National Guidelines Clearinghouse, National electronic Library for Health, NICE, Guidelines International Network (GIN), Canadian Medical Association Infobase, development groups such as Scottish Intercollegiate Guidelines Network (SIGN), New Zealand Guidelines Group (NZGG), Agency for Healthcare Research and Quality (AHRQ), Ministry of Health Singapore, Institute for Clinical Systems Improvement (ICSI); and scientific societies: American Heart Association, American Medical Association, Royal College of Physicians London. We included all CPGs published in English, French, Italian, Portuguese, or Spanish from 1999 to 2005 and excluded those CPGs whose scope was primary prevention and rehabilitation from ischemic stroke. Four researchers independently assessed the structure and methodologies followed in drafting the CPGs using the Changing Professional Practice (CPP) and Appraisal of Guidelines Research & Evaluation (AGREE) instruments. RESULTS: We retrieved 117 documents; following application of exclusion criteria, twenty-seven CPGs were appraised. With regard to methodological quality (using the AGREE instrument), the domains that scored highest were "Scope and purpose" and "Clarity and presentation." The lowest scoring domains were "Stakeholder involvement," "Rigor of development," and "Applicability." Most guidelines received an overall score of "would not recommend" (77.8 percent). Finally, based on the CPP instrument, most of the CPGs evaluated were aimed at secondary care and did not provide updating procedures. CONCLUSIONS: The overall quality of the CPGs published for ischemic stroke management did not have minimum methodological quality. Quality improvement has been observed in more recent CPGs and may be due to the publication of new tools such as the AGREE or CPP instruments, as well as international initiatives for CPG improvement.
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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 | 0.007 | 0.070 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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".