Purging disorder: Psychopathology and treatment outcomes
Bibliographic record
Abstract
OBJECTIVE: To characterize a tertiary care treatment-seeking sample and assess post-treatment remission and completion rates for purging disorder (PD). METHOD: Consecutively admitted women with PD (n = 122), anorexia nervosa (AN) restricting subtype (AN-R; n = 146), AN binge-purge subtype (AN-B; n = 154), and bulimia nervosa-purging subtype (BN-P; n = 415) were compared on general and eating disorder specific psychopathology. A subsample (n = 256) attended a day treatment program and were assessed for post-treatment remission and completion rates. RESULTS: PD occurred in 17.3% of eating disorders not otherwise specified and 6.7% of total eating disorder referrals. PD patients were similar to AN-B and BN-P, but had higher levels than AN-R, on general and eating disorder psychopathology. PD individuals did not have different post-treatment remission or completion rates compared to other eating disorders. DISCUSSION: The results add to a growing literature on the utility of PD as a diagnosis.
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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 | 0.000 |
| 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) | 0.001 | 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 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".