The impact of vitamin D on disease activity in Crohn’s disease (CD) (LB330)
Bibliographic record
Abstract
Background: The impact of vitamin D on disease activity among CD patients has been studied as a modulator for autoimmune system. Since higher levels of vitamin D may significantly decrease disease activity. However, little is known about the effect of high doses of vitamin D on disease activity among CD patients. Objectives: Our aims are to determine vitamin D status and disease activity among CD cases in Canada and Saudi Arabia, and evaluate the impact of higher doses of vitamin D compared to EAR on disease activity among CD patients. Methods: This pilot study is a double‐blind, randomized, control trial involving approximately 60 recent, active CD patients engaged in induction therapy. The sample size includes patients in Saskatoon, Saskatchewan, Canada (n=30) and Riyadh, Saudi Arabia (n=30). The patients have been divided into three groups to receive different oral doses of vitamin D including: 1: 400 IU/day (Control group, EAR level) 2: 2,000 IU/day 3: 10,000 IU/day. The study is expected to last between January and April 2014, with nine weeks duration of intervention. Data are collected at baseline (0), 9 weeks, and at 2 months follow‐up. Along with anthropometric measurements, participants undergo laboratory examinations such as, WBC, Hg, Hct, ferritin, vitamin D, hsCRP and submit fecal samples, fill out the health related quality of life, socio‐demographic and physical activity questionnaires. We assess their dietary intake at the baseline and week 9 using three 24‐hour dietary recalls. Results: Since vitamin D is utilized in autoimmune disease, we expect to see CD patients with active disease in high dose group will benefit the most from vitamin D supplementation. Grant Funding Source : Supported by the Saudi Arabian Cultural Bureau in Ottawa and University of Saskatchewan
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".