Long-term treatment of bipolar disorder with lamotrigine.
Bibliographic record
Abstract
Bipolar depression is as debilitating as mania in bipolar disorder, but the treatment of bipolar depression has historically received less attention. To date, there is no mood stabilizer (liberally defined as a medication that decreases episode severity, duration, or frequency in one phase of bipolar illness without producing a negative effect in other phases) that demonstrates similar efficacy in both the depressive and the manic phases of bipolar disorder. However, bipolar depression--which is prevalent, sometimes chronic, and associated with a low quality of life and a high risk of suicide--must be addressed as energetically as mania. Recent research into the long-term treatment of bipolar disorder has raised several questions about the generalizability of early lithium studies, as a result of these studies' designs. Researchers conducting more recent studies of mood stabilizers in the long-term treatment of bipolar disorder have attempted to clarify their results by, for example, performing survival analyses of the data. Until pharmacotherapy has been found that is equally efficacious in the treatment of both manic and depressive episodes in bipolar disorder, the use of combination therapy to manage bipolar disorder is advised. Lithium and divalproex sodium remain the first-line treatments for mania. Lamotrigine has been found to have acute efficacy in treating episodes of bipolar depression without increasing cycling or provoking a switch into mania, as well as a long-term role in delaying relapse and recurrence of depressive episodes.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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 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".