Anxiety disorders and bipolar disorder: a review
Bibliographic record
Abstract
CONTEXT: Epidemiological, clinical and familial studies indicate that anxiety disorders (ADs) are highly comorbid in persons with bipolar disorder (BPD). The phenomenological overlap between ADs and BPD is reported more frequently in individuals with female predominant bipolar presentations (e.g., bipolar II disorder). Anxiety comorbidity in the BPD population poses a serious hazard. For example, it is associated with an intensification of symptoms, non-recovery, substance use comorbidity and harmful dysfunction (e.g., suicidality). OBJECTIVE: The evidentiary base informing treatment decisions for the anxious bipolar patient is woefully inadequate. Several expert consensus and evidence-based treatment guidelines for BPD suggest various treatment avenues, although these have been insufficiently studied. The encompassing aim of this paper is to synthesize extant studies reporting on the co-occurrence of AD and BPD. Taken together, a compelling basis emerges for prioritizing the identification and management of anxiety symptomatology in the BPD population.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".