Rash in Multicenter Trials of Lamotrigine in Mood Disorders
Bibliographic record
Abstract
BACKGROUND: The rate of lamotrigine-associated rash in patients with mood disorders has not been well characterized. The objective of this report was to determine rash rates in clinical trials of lamotrigine in DSM-IV unipolar depression or bipolar disorder. METHOD: A retrospective analysis was conducted of rates of lamotrigine-related rash in 12 multicenter studies, including 1 open study, 7 randomized controlled acute trials, and 4 randomized controlled maintenance trials from 1996 to 2001. RESULTS: A total of 1955 patients were treated with lamotrigine in open-label settings (open-label phases preceding or following randomization and 1 stand-alone open-label study); 1198 patients received lamotrigine in controlled settings, and 1056 patients received placebo. In controlled settings, rates of benign rash were 8.3% and 6.4% in lamotrigine- and placebo-treated patients, respectively. Rates of serious rash were 0% with lamotrigine, 0.1% (N = 1) with placebo, and 0% with comparators. In the open-label setting, the overall rate of rash for lamotrigine was 13.1% (N = 257) and of serious rash, 0.1% (N = 2). One mild case of Stevens-Johnson syndrome not requiring hospitalization occurred in a patient treated with lamotrigine. There were no cases of toxic epidermal necrolysis in any setting. CONCLUSION: Serious drug eruptions associated with lamotrigine were rare. Although rash is a potentially life-threatening reaction, the risk of serious rash due to lamotrigine should be weighed against more common risks associated with untreated or undertreated bipolar depression.
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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 | 0.127 | 0.134 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".