Bibliographic record
Abstract
The primary endpoint traditionally measured in clinical trials of triptans for acute migraine therapy has been 2-hour pain relief, a decrease in pain intensity from moderate/severe to mild/none. Although harder to achieve, endpoints such as 2-hour pain free and the composite measure sustained pain free are now preferred as they better reflect what patients desire from medication, namely rapid onset of action, and complete and lasting relief of pain. A comprehensive meta-analysis has shown that oral triptans differ in their ability to achieve these endpoints, with almotriptan 12.5 mg, eletriptan 80 mg and rizatriptan 10 mg providing the highest likelihood of success. Although all triptans have simple and consistent pharmacokinetic features, they also have specific differences that may play a part in their differing clinical attributes. Incorporating tolerability to generate a more stringent endpoint, sustained pain free with no adverse events (SNAE), may provide an even better representation of patients' expectations. Comparison of SNAE rates using data from the meta-analysis of oral triptans indicates that almotriptan 12.5 mg has the best balance of high efficacy and good tolerability.
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.
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 | 0.087 | 0.103 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.006 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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; a candidate call from one source (direct Gemma or distilled Codex), 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".