What is remission in adolescent anorexia nervosa? A review of various conceptualizations and quantitative analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: The current article evaluated models of remission in anorexia nervosa (AN). METHOD: A dataset from 86 adolescents with AN was used to model definitions of remission by using (a) Morgan-Russell categories, (b) criteria proposed by Pike, (c) criteria proposed by Kordy, et al. (d) DSM-IV-text revision criteria, (e) other weight thresholds, (f) psychological symptoms (Eating Disorder Examination [EDE] scores), and (g) combinations of these. RESULTS: The mean age was 15.2 +/- 1.6 years. Remission rates varied from 3% to 96% depending on the method used. Combining percent ideal body weight and EDE scores appeared to reduce the variability in rates, capture the most meaningful aspects of remission, and avoid the pitfalls of other methods. CONCLUSION: These methods of defining remission produce a wide range of outcomes, demonstrating the importance of defining remission consistently. Weight and psychological variables combined appear most important in defining remission.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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 it