Pharmacotherapy of bipolar II disorder: a critical review of current evidence
Bibliographic record
Abstract
OBJECTIVES: There is much controversy surrounding the diagnosis and treatment of patients with bipolar II disorder (BP II). To address the growing need to find effective treatment strategies for patients with BP II, this article identifies and summarizes available published evidence specific to the pharmacotherapy of BP II. METHODS: Using the keywords, 'bipolar disorder', 'type II' or 'type 2', 'bipolar II', 'hypomania', and 'bipolar spectrum', a search of the databases Medline (via PubMed), the Cochrane Central Register of Controlled Trials (via Ovid), and PsychInfo was conducted for the period January 1994 to January 2003. Articles deemed directly relevant to the treatment of BP II were selected. Studies that included both BP I and II patients were excluded if results for BP II patients were not analyzed and reported separately. RESULTS: Fourteen articles were selected for the review period. There are no double blind, randomized controlled trials (RCT) involving only BP II patients. Most studies investigating the pharmacotherapy of BP II are methodologically limited, having observational or retrospective designs and small samples. For long-term treatment, lamotrigine has the strongest quality of evidence (double blind RCT), while lithium is the best studied. With regard to short-term treatment, there is some limited support for the use of risperidone in hypomania, and for divalproex, fluoxetine and venlafaxine in treating depression. CONCLUSIONS: There is a paucity of sound evidence to help guide clinicians treating BP II patients. Decisions about pharmacotherapy should be made on a case-by-case basis; overall, broad recommendations that are based on available evidence cannot be adequately made. More quality research is needed to delineate effective treatment strategies.
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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 | 0.006 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".