A comprehensive analysis of gastroesophageal reflux disease: Pathophysiology, clinical manifestations, and diagnostic approaches
Bibliographic record
Abstract
Background: Gastroesophageal reflux disease (GERD) is a common condition characterized by the reflux of stomach contents, leading to troublesome symptoms and potential complications. The Montreal definition emphasizes symptom severity, while the Lyon Consensus focuses on physiological aspects, and the Rome IV Conference highlights functional syndromes resembling GERD. This article aims to provide a comprehensive analysis of GERD, consolidating various definitions and perspectives. Aim: The study seeks to clarify the multifaceted nature of GERD, including its pathophysiology, clinical manifestations, diagnostic approaches, and therapeutic strategies. Methods: This narrative review synthesizes existing literature, examining prevalence, morbidity, and mortality associated with GERD, as well as its pathogenesis and the impact of lifestyle factors such as obesity. Data from various studies were analyzed to assess the global prevalence of GERD and its complications. Results: GERD prevalence varies globally, from 2.5% in China to 51.2% in Greece, with significant associations between obesity and GERD-related complications, including esophageal adenocarcinoma (EAC). The economic burden of GERD is substantial, with significant healthcare costs reported in multiple countries. The review also highlights the dual role of Helicobacter pylori, which may both exacerbate and protect against GERD symptoms.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".