Bipolar Disorder Associated with Another Autoimmune Disease—Pemphigus: A Population-based Study
Bibliographic record
Abstract
OBJECTIVES: Recent evidence suggests a notable role for inflammation and immune dysregulation in the neuroprogression of bipolar disorders (BD). Several autoimmune comorbidities have been reported in association with BD. However, the epidemiological relationship between pemphigus and BD has not yet been elucidated. We aimed to estimate the association between pemphigus and BD using a large-scale, real-life computerized database. METHODS: Data for this study were retrieved from the database of the Clalit Health Services, the largest, state-mandated, health service organization in Israel. This study was designed as a cross-sectional study. The proportion of patients with BD was compared between patients diagnosed with pemphigus and age-, sex-, and ethnicity-matched control subjects. A logistic regression model was performed to estimate how pemphigus and other covariates contributed as risk factors for BD. RESULTS: A total of 1,985 pemphigus cases and 9,874 controls were included in the study. The prevalence of BD was greater in cases with pemphigus than in controls (1.0% v. 0.5%, respectively; P = 0.023). This coexistence was more prominent among patients of Jewish ethnicity. After controlling for confounders, such as age, sex, ethnicity, socioeconomic status, drug abuse, alcohol abuse, smoking, healthcare utilization, and comorbidities, pemphigus demonstrated a substantial independent association with BD (OR, 1.7; 95% CI, 1.0 to 2.9). CONCLUSIONS: Pemphigus is significantly associated with BD. Patients with pemphigus should be assessed for comorbid BD. Experimental research is needed to better recognize the biological mechanisms underlying this observation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".