A guide to the community management of paediatric eating disorders
Bibliographic record
Abstract
Eating disorders (EDs) are a group of serious, potentially life-threatening illnesses that typically have their onset during adolescence and can be associated with severe medical and psychosocial complications. The impact of EDs on caregivers and other family members can also be significant. Health care providers (HCPs) play an important role in the screening and management of adolescents and young adults with EDs. This position statement assists community-based HCPs with recognizing, diagnosing, and treating EDs in the paediatric population. Screening modalities, indications for hospitalization, medical complications, and monitoring of young people with EDs are summarized. Current evidence supports the use of family-based treatment (FBT) as the first-line psychological therapeutic modality for adolescents with restrictive EDs. While the provision of FBT may be beyond the scope of practice for some community physicians, this statement reviews its core tenets. When an ED is diagnosed, early application of these principles in the community setting by HCPs may slow disease progression and provide guidance to families.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.032 | 0.022 |
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".