Eating Disorders in Individuals with Type 1 Diabetes: Case Series and day Hospital Treatment Outcome
Bibliographic record
Abstract
Women with type 1 diabetes are at high risk for eating disorders (ED), a combination that can increase medical complications and mortality. As little is known about treatment response in this population, clinical presentation and treatment outcome in an extended case series were assessed. A chart review at the Eating Disorders Day Hospital Program at Toronto General Hospital identified a total of 100 individuals with type 1 diabetes assessed 1990-2012. Of 37 who attended day hospital, most experienced improvement in ED symptoms, but only 18.8% had a good immediate treatment outcome, while 43.8% had an intermediate outcome and 37.5% had a poor outcome (meeting diagnostic criteria at discharge). This is poorer than program outcomes in individuals without diabetes (χ(2) = 12.2, df = 2; p = 0.002). Factors influencing treatment engagement and outcome must be further studied and used to improve treatment results in this high-risk group.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".