Severe and enduring anorexia nervosa: Can risk of persisting illness be identified, and prevented, in young patients?
Bibliographic record
Abstract
OBJECTIVE: Long-term outcome studies of anorexia nervosa (AN) have demonstrated that up to 20% of cases will follow an unremitting course despite many attempts at symptom-based treatments. The objectives of this study are to identify in a younger age group with AN whether persistent illness can be identified early and prevented. METHODS: An extensive literature review of such studies published in Pubmed was conducted. RESULTS: This review revealed that these studies have generally been conducted in adult patients who have been chronically ill over many years. DISCUSSION: Despite that fact that there is little published evidence on severe and persistent illness in a younger rage group, there are important clinical questions to consider in such a group of AN individuals. This commentary attempts to answer these questions, often in the absence of research evidence. These questions include whether it is possible to identify those who will go on to develop a severe, enduring course; whether early intervention can prevent the development of a such a course; and whether a focus on quality of life rather symptom alleviation is appropriate for a younger age group of unremitted sufferers. In the absence of research that that clearly informs these questions, the authors are left to recommend answers to these question based on a case by case interrogation of relevant factors, including the presence of the risk architecture to which AN has been strongly linked, the age of the patient, the wishes of the family and importantly, the opinions of expert bioethicists and clinicians sufficiently knowledgeable about the psychopathology, natural history, and treatment of AN to be able to render an informed decision.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".