Medical Comorbidity in Bipolar Disorder: Implications for Functional Outcomes and Health Service Utilization
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Full frame distilled prediction
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.
- Candidate categories
- none
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: ObservationalConsensus signal: Observational
- Genre
- Candidate signal: EmpiricalConsensus signal: Empirical
- Teacher disagreement score
- 0.304
- Threshold uncertainty score
- 0.960
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.297 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
OBJECTIVE: This is the first cross-national population-based investigation exploring the prevalence and functional implications of comorbid general medical disorders in bipolar disorder. METHODS: Data were extracted from the Canadian Community Health Survey (N = 36,984). Analyses were conducted to ascertain the prevalence and prognostic implications of predetermined comorbid general medical disorders among persons who screened positive for a lifetime manic episode (indicative of a diagnosis of bipolar disorder). Within the subpopulation of people who screened positive for a manic episode, the effect of medical comorbidity on employment, functional role, psychiatric care, and medication use was examined. RESULTS: When the data were weighted to be representative of the household population of the ten provinces in 2002, an estimated 2.4 percent of respondents screened positive for a lifetime manic episode. Rates of chronic fatigue syndrome, migraine, asthma, chronic bronchitis, multiple chemical sensitivities, hypertension, and gastric ulcer were significantly higher in the bipolar disorder group (all p < .05). Chronic medical disorders were associated with a more severe course of bipolar disorder, increased household and work maladjustment, receipt of disability payments, reduced employment, and more frequent medical service utilization. CONCLUSIONS: Comorbid medical disorders in bipolar disorder are associated with several indices of harmful dysfunction, decrements in functional outcomes, and increased utilization of medical services.
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.
The record
- Venue
- Psychiatric Services
- Topic
- Bipolar Disorder and Treatment
- Field
- Medicine
- Canadian institutions
- University of Toronto
- Funders
- not available
- Keywords
- Bipolar disorderComorbidityMedicinePsychiatryNational Comorbidity SurveyPrevalence of mental disordersPopulationChronic bronchitisBipolar I disorderMental healthInternal medicineManiaEnvironmental healthMood
- Has abstract in OpenAlex
- yes