The frequency and clinical aspects of extraesophageal syndromes in elderly patients with gastroesophageal reflux disease
Bibliographic record
Abstract
AIM: To investigate the frequency of extraesophageal syndromes in elderly patients with gastroesophageal reflux disease (GERD). MATERIALS AND METHODS: This cross-sectional study was conducted to compare the clinical manifestations of GERD in 1100 patients aged 60 to 75 years and in 453 patients aged 36 to 60 years. A control group consisted of 154 elderly patients without GERD and 178 mature-aged patients without this condition. GERD was diagnosed via analysis of its symptoms, esophagogastroduodenoscopy, and 24-hour pH monitoring on the basis of the Montreal consensus guidelines. Extraesophageal syndromes were detected actively using the current methods accepted to treat lung, heart, and ENT diseases and a simultaneous gastroesophageal examination. RESULTS: Chronic cough, asthma, chronic laryngitis, cardialgias and cardiac arrhythmias were much more common in elderly patients with GERD than in those without this condition and prevalent in patients with erosive esophagitis and Barrett's esophagus as compared with those with non-erosive reflux disease. The mature-aged patients were recorded to have similar but less pronounced trends. The authors proposed an algorithm for the management of patients with extraesophageal manifestations of GERD, the important aspect of which was two-month acid-suppressive therapy used as both diagnostic testing and empirical treatment for this pathology. CONCLUSION: The extraesophageal manifestations of GERD in elderly patients are a serious clinical problem calling for considerable attention.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".