Similarities and Differences Across Bipolar Disorder Subtypes Among Adolescents
Bibliographic record
Abstract
Objectives: To compare demographic, clinical, and familial characteristics across bipolar disorder (BD) subtypes in adolescents. Methods: A total of 168 participants, 13 to 19 years of age, with BD-I (n = 41), BD-II (n = 68), or operationalized BD—not otherwise specified (NOS) (n = 59) were recruited from a tertiary subspecialty clinic at an academic health sciences center. Diagnoses were determined using the semistructured K-SADS-PL (Schedule for Affective Disorders and Schizophrenia for School-Age Children—Present and Lifetime Version) interview. Omnibus analyses were followed up with post hoc pairwise comparisons. Results: After controlling for age, race, and living with both natural parents, BD-I was associated with greater functional impairment, increased rates of psychiatric hospitalization, psychosis, and lifetime exposure to second-generation antipsychotics and lithium, less self-injurious behavior, less anxiety disorders, and less severe worst lifetime depression and lower levels of emotional dysregulation and lability compared with both BD-II and BD-NOS. Lifetime most severe manic symptoms were highest in BD-I, lowest in BD-NOS, with BD-II intermediate. Lifetime exposure to psychosocial treatment followed the opposite pattern: lowest in BD-I, highest in BD-NOS, with BD-II intermediate. Variables for which there were no significant between-group differences included suicidal ideation, suicide attempts, comorbidities other than anxiety, or family history of BD. Conclusion: Among observed differences, most distinguish BD-I from other subtypes, whereas few variables differed between BD-II and BD-NOS. Different BD subtypes share important similarities in multiple clinical and familial characteristics, including family history of BD. Present findings support and extend knowledge regarding the course and outcome of bipolar youth study operationalized definition of BD-NOS. Further research is warranted to evaluate intermediate phenotypes and treatment strategies that address these subtype-related differences.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".