Comparison of American and European Guideline Recommendations for Diagnostic Workup and Secondary Prevention of Ischemic Stroke and Transient Ischemic Attack
Bibliographic record
Abstract
Guidelines help to facilitate treatment decisions based on available evidence, and also to provide recommendations in areas of uncertainty. In this paper, we compare the recommendations for stroke workup and secondary prevention of ischemic stroke and transient ischemic attack of the American Heart Association (AHA)/American Stroke Association (ASA) with the European Stroke Organization (ESO) guidelines. The primary aim of this paper is to offer clinicians guidance by identifying areas where there is consensus and where consensus is lacking, in the absence or presence of high-level evidence. We compared AHA/ASA with the ESO guideline recommendations for 7 different topics related to diagnostic stroke workup and secondary prevention. We categorized the recommendations based on class and level of evidence to determine whether there were relevant differences in the ratings of evidence that the guidelines used for its recommendations. Finally, we summarized major topics of agreement and disagreement, while also prominent knowledge gaps were identified. In total, we found 63 ESO and 82 AHA/ASA recommendations, of which 38 were on the same subject. Most recommendations are largely similar, but not all are based on high-level evidence. For many recommendations, AHA/ASA and ESO assigned different levels of evidence. For the 10 recommendations with Level A evidence (high quality) in AHA/ASA, ESO only labeled 4 of these as high quality . There are many remaining issues with either no or insufficient evidence, and some topics that are not covered by both guidelines. Most ESO and AHA/ASA Guideline recommendations for stroke workup and secondary prevention were similar. However not all were based on high-level evidence and the appointed level of evidence often differed. Clinicians should not blindly follow all guideline recommendations; the accompanying level of evidence informs which recommendations are based on robust evidence. Topics with lower levels of evidence, or those with recommendations that disagree or are missing, may be an incentive for further clinical research.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".