Mortality and Its Predictors in Severe Bulimia Nervosa Patients
Bibliographic record
Abstract
BACKGROUND: The risk of mortality remains unclear for bulimia nervosa (BN) patients, especially the most severe. The aims of this study were to improve knowledge on BN and mortality. METHODS: With initial evaluation at admission, 258 BN (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition) consecutive inpatients were included (1988-2004). Vital status was established from the French national register. Standardized Mortality Ratio (SMR) calculation and bivariate Cox analysis were performed for the hypothesised predictors of mortality. RESULTS: Mean follow-up duration was 10.5 years. Ten deaths were recorded, and the crude mortality ratio was 3.9%; SMR = 5.52 [CI95 (2.64-10.15)]. The majority of deaths were from suicide [6/10, SMR = 30.9 (5.7-68.7)]. The mean age at time of death was 29.6 years. Predictive factors were previous suicide attempt and low minimum BMI. CONCLUSIONS: Severe BN patients are at higher risk of death (mainly suicide) especially if previous suicide attempt or previous low BMI. More studies are needed to confirm these results.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".