Balanced efficacy, safety, and tolerability recommendations for the clinical management of bipolar disorder
Bibliographic record
Abstract
OBJECTIVE: To provide practical and clinically meaningful treatment recommendations that amalgamate clinical experience and research findings for each phase of bipolar disorder. METHODS: A comprehensive search of the literature was undertaken using electronic database search engines (Medline, PubMed, Cochrane reviews) using key words (e.g., bipolar depression, mania, treatment). All relevant randomised controlled trials were examined, along with review papers, meta-analyses, and book chapters known to the authors. In addition, the recommendations from accompanying papers in this supplement have been distilled and captured in the form of summary boxes. The findings, in conjunction with the clinical experience of international researchers and clinicians who are practiced in treating mood disorders, formed the basis of the treatment recommendations within this paper. RESULTS: Balancing clinical experience with evidence informed and lead to the development of practical clinical recommendations that emphasise the importance of safety and tolerability alongside efficacy in the clinical management of bipolar disorder. CONCLUSIONS: The current paper summarises the treatment recommendations relating to each phase of bipolar disorder while providing additional, evidence-based, practical insights. Medication-related side effects and monitoring strategies highlight the importance of safety and tolerability considerations, which, along with efficacy information, should be given equal merit.
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 | 0.039 | 0.089 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".