Comorbidity in bipolar disorder: a framework for rational treatment selection
Bibliographic record
Abstract
Bipolar disorders are heterogeneous disorders often requiring multimodality treatment. The expanding pharmacopeia for bipolar disorders invites the need for a treatment framework that both recognizes and anticipates the multidimensionality and comorbidity of the illness. No available neurotherapeutic agent is singularly efficacious for the complete mélange of bipolar symptomatology. An apparent paradox has emerged in the management of bipolar disorder; whilst results from rigorous controlled monotherapy trials suggest that a disparate assortment of neurotherapeutic agents are efficacious in distinct phases of bipolar disorder, the majority of tertiary-treated bipolar patients receive polypharmacotherapeutic regimens. The evidentiary base for polypharmacotherapy is sparse and has recently become an area of active research focus. In the interim, clinicians are encouraged to invoke an organizational schema for the treatment of bipolar disorder that considers the spectrum of effectiveness of putative and established mood stabilizers. This schema should be further informed by the treatment data for comorbid and accessory conditions. The authors propose a schema to provide the impetus for further work in the area.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".