A171 DEVELOPMENT AND VALIDATION OF THE DIETITIAN INTEGRATED EVALUATION TOOL FOR GLUTEN-FREE DIETS (DIET-GFD)
Bibliographic record
Abstract
Celiac disease (CD) is a chronic autoimmune disease characterized by small intestinal villous damage that recovers with a gluten-free diet (GFD). A consultation with a skilled dietitian is the clinical gold standard for monitoring GFD adherence. Yet, there is no standardized tool for dietitians to objectively grade GFD adherence. To develop a standardized tool to evaluate GFD adherence that can be used by dietitians. Participants were recruited from the Manitoba Celiac Disease Cohort, a prospective inception cohort of confirmed CD based on elevated TTG and/or EMA antibodies and Marsh III histology. Using a consensus process, an expert panel of gastroenterologists, dietitians with expertise in GFDs, clinical health psychologists and persons with CD developed the DIET-GFD. Two dietitians then performed duplicate assessments of 27 newly diagnosed participants who had been advised to follow a GFD. The global adherence scale was further revised following panel discussions of the cases where the dietitian ratings were discordant or they were uncertain which rating to apply. The scoring system was then validated using duplicate assessments of additional 37 CD participants. Interrater agreement between the two dietitians was assessed using square-weight Cohen’s kappa. The DIET-GFD includes features related to frequency and quantity of gluten ingestion based upon self-report and food frequency evaluation, shopping and dining habits, how and where food is prepared and consumed, eating behaviors, and label reading skills. The DIET-GFD global assessment is reported using a 10-point ordinal descriptive scale ranging from 1 (takes few precautions and regularly eats gluten) to 10 (no gluten in kitchen and rarely eats food prepared outside the home). The validation study included 38 study visits (n = 38) involving 37 participants. The kappa of DIET-GFD global assessment was 0.845 (almost perfect agreement). DIET-GFD is a useful tool for dietitians to evaluate GFD adherence. Given a high level of agreement between two expert dietitians, further studies are needed to confirm that the score from DIET-GFD is reliable across institutions and cultures as well as dietitians who do not have GFD expertise. CAG, CIHRNational Institutes of Health (NIH)
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 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 | 0.024 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".