Evidence-Based Migraine Therapy: Learning Needs and Knowledge Assessment
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
One of the primary goals of continuing medical education (CME) is to enhance the learners' performance, and a major goal of evidence-based medicine (EBM) is to improve knowledge of current best care. This paper overviews the use of a Learning Needs and Knowledge Assessment tool to highlight the potential learning needs and knowledge of neurologists and to focus the issues, interest and interactions of neurologists in a workshop on EBM migraine therapy. Virtually all neurologists felt they used evidence-based medicine in their daily practice. Surprisingly, 50% of neurologists agreed that they were uncertain which triptan to use. The great majority of neurologists felt that the triptans were not all equally efficacious. Our survey identified significant knowledge gaps among neurologists regarding how to appraise the validity of evidence from a randomized clinical trial, and with regard to what are the most clinically useful measures of benefit in clinical trials.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it