The effect of bariatric surgery on psychiatric course among patients with bipolar disorder
Bibliographic record
Abstract
OBJECTIVE: Bariatric surgery is the most effective therapy for severe obesity. People with bipolar disorder have increased risk of obesity, yet are sometimes considered ineligible for bariatric surgery due to their bipolar disorder diagnosis. This study aimed to determine if bariatric surgery alters psychiatric course among stable patients with bipolar disorder. METHODS: A matched cohort study (2006-2009) with mean follow-up of 2.17 years was conducted within Kaiser Permanente Northern California, a group practice integrated health services delivery organization that provides medical and psychiatric care to 3.3 million people. Participants were 144 severely obese patients with bipolar disorder who underwent bariatric surgery, and 1,440 control patients with bipolar disorder, matched for gender, medical center, and contemporaneous health plan membership. Controls met referral criteria for bariatric surgery. Hazard ratio for psychiatric hospitalization, and change in rate of outpatient psychiatric utilization from baseline to Years 1 and 2, were compared between groups. RESULTS: A total of 13 bariatric surgery patients (9.0%) and 153 unexposed to surgery (10.6%) had psychiatric hospitalization during follow-up. In multivariate Cox models adjusting for potential confounding factors, the hazard ratio of psychiatric hospitalization associated with bariatric surgery was 1.03 [95% confidence interval (CI): 0.83-1.23]. In fully saturated multivariate general linear models, change in outpatient psychiatric utilization was not significantly different for surgery patients versus controls, from baseline to Year 1 (-0.4 visits/year, 95% CI: -0.5 to 0.4) or baseline to Year 2 (0.4 visits/year, 95% CI: -0.1 to 1.0). CONCLUSIONS: Bariatric surgery did not affect psychiatric course among stable patients with bipolar disorder. The results of this study suggest that patients with bipolar disorder who have been evaluated as stable can be considered for bariatric surgery.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 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".