Quanto há de doença celíaca na síndrome dispéptica?
Bibliographic record
Abstract
Introduction: Celiac disease is an autoimmune condition triggered by the ingestion of and contact with gluten in genetically predisposed individuals. Dyspeptic syndrome, on the other hand, is characterized by chronic upper digestive symptoms. The relationship between these two conditions is the main focus of this review. Objective: To investigate the prevalence of celiac disease in patients with dyspeptic syndrome based on the analysis of epidemiological characteristics, upper digestive endoscopy, duodenal histology and serology. Method: Narrative review carried out with information published on virtual platforms in Portuguese and English and analyzed during the period from January 2022 to August 2023. The material for reading and analysis was selected from the SciELO platforms – Scientific Electronic Library Online, Google Scholar, Pubmed and Scopus using the following terms: “dyspepsia, celiac disease, gluten, prevalence” with AND or OR search, considering the title and/or abstract. Afterwards, the full texts were read, including 18 articles. Results: In dyspeptic patients, the average age was 45.13 years and the female gender was predominant. Symptoms associated with gluten were reported in 6%. The antitransglutaminase antibody was positive, with an estimated prevalence of 1.5%. Considering the Brazilian sample of 100 patients, the diagnosis of celiac disease was made with a prevalence of 3%. Conclusion: Although the prevalence of celiac disease in dyspeptic patients may be higher than in the general population, results are variable and depend on several factors, including testing methodologies and regional characteristics. This review also highlights the importance of an individualized approach in the investigation of celiac disease in dyspeptic patients, considering aspects such as family history, gluten-related symptoms and autoimmune comorbidities.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".