Anticonvulsant hypersensitivity syndrome: an update
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
INTRODUCTION: Anticonvulsant hypersensitivity syndrome (AHS) is a rare but potentially life-threatening adverse drug reaction, primarily associated with phenytoin, phenobarbital and carbamazepine. It is characterized by a triad of fever, skin eruption and internal organ involvement (usually liver), which occur two to eight weeks after the initiation of therapy. Anticonvulsant hypersensitivity syndrome has been estimated to occur between 1 and 1000 and 1 in 10,000 exposures; however, its true incidence is unknown because of the variable presentation and inaccurate reporting. AREAS COVERED: This paper presents the incidence, epidemiology and pathogenesis of AHS, along with recommendations for its diagnosis and management. EXPERT OPINION: Avoidance of all aromatic anticonvulsants is recommended in patients who develop AHS with one of these agents, as there is a high degree of crossreactivity among all these agents. There are no universally recognized tests for the prediction of AHS due to aromatic anticonvulsants or lamotrigine. Yet genetic testing in a predictive sense would help guide the choice of an appropriate anticonvulsant medication. Other tests, using cellular surrogates, such as lymphocytes or platelets, have been used primarily for diagnostic testing and do not have the universal practicality afforded to genetic tests.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.003 |
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