The FDA alert on suicidality and antiepileptic drugs: Fire or false alarm?
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.
Full frame distilled prediction
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.
- Candidate categories
- Meta-epidemiology (narrow)
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: Not applicableConsensus signal: none
- Genre
- Candidate signal: ReviewConsensus signal: Review
- Teacher disagreement score
- 0.973
- Threshold uncertainty score
- 1.000
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.325 · how far apart the two teachers sit on this one work
- Validation status
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
Abstract
In January 2008, the U.S. Food and Drug Administration (FDA) issued an alert about an increased risk for suicidality in 199 clinical trials of 11 antiepileptic drugs (AEDs) for three different indications, including epilepsy. An advisory panel voted against a black-box warning on AED labels, and the FDA has accepted this recommendation. We discuss three potential problems with the alert. First, adverse event data were used rather than systematically collected data. Second, the 11 drugs grouped together as a single class of AEDs have different mechanisms of action and very different relative risks, many of which were not statistically significant and some of which were smaller than one. These facts suggest that they should not be grouped as a class. Third, the risk of adverse effects from uncontrolled seizures almost certainly outweighs the small risk of suicidality. We place our comments in the context of a review of the literature on suicidality and depression in epilepsy and the sparse literature on AEDs and suicidality. We recommend that all patients with epilepsy be routinely evaluated for depression, anxiety, and suicidality, and that future clinical trials include validated instruments to systematically assess these conditions to determine whether the possible signal observed by the FDA is real.
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.
The record
- Venue
- Epilepsia
- Topic
- Epilepsy research and treatment
- Field
- Medicine
- Canadian institutions
- not available
- Funders
- GlaxoSmithKlineValeant Pharmaceuticals InternationalPfizer
- Keywords
- MedicineContext (archaeology)EpilepsyAdverse effectFood and drug administrationPsychiatryDepression (economics)Clinical trialAnxietyDrug classLamotrigineDrugMedical emergencyPharmacologyInternal medicine
- Has abstract in OpenAlex
- yes