Awareness and Acceptance of Advanced Therapies among Patients with Celiac Disease in Saudi Arabia
Bibliographic record
Abstract
Abstract Background and Objectives: Celiac disease (CD) is a chronic autoimmune condition resulting in malabsorption of ingested nutrients with increased risk of malignancy. The current long-term definitive treatment of CD is following a gluten-free diet (GFD). Strict adherence to GFD for the treatment of CD has been found to be difficult for patients with strict GFD being shown to increase the risk of hyperglycemia and fatty liver disease. Pharmaceutical clinical trials are ongoing for the development of novel medications for the treatment of CD. We aimed in this study to assess the level of awareness and acceptance of CD patients living in Saudi Arabia to receive novel pharmacological treatments once they become available in the near future. Methods: Online-based validated questionnaire distributed electronically among Saudi population through CD patient’s support group over a period of 2 months. Statistical analysis was done through the use of RStudio software. Results: Out of 245 questionnaire participants, 37% were aware of ongoing pharmaceutical trials. Statistically significant, male and single patients were more accepting to take novel CD medications with clear preference for orally administered medications. Conclusion: Given low patient awareness among studied Saudi CD patient participants and high-interest to use novel CD pharmacological treatments once made available internationally, further efforts should be made by specialists treating CD patients in Saudi Arabia to increase overall awareness regarding nondietary based long-term definitive pharmacological treatments under development. The development of definitive long-term CD pharmacological treatments is likely to enhance patient adherence to CD treatment and enhance disease outcome.
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 | 0.000 | 0.002 |
| 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".