Management of Reflux Symptoms with Over-the-Counter Proton Pump Inhibitors: Issues and Proposed Guidelines
Bibliographic record
Abstract
BACKGROUND: Symptoms of gastroesophageal reflux are widely prevalent. There is a continuum between subjects with mild reflux symptoms and those severely affected by gastroesophageal reflux disease (GERD). Both groups may at times access over-the-counter (OTC) therapies. For the purpose of this review, relevant papers, including national and international guidelines were reviewed and recommendations made for appropriate use of OTC proton pump inhibitor (PPI) therapy. RESULTS: PPIs are the gold standard for treatment of reflux symptoms. OTC therapy with histamine(2) receptor antagonists (H2RAs) also plays a role. For the majority affected by reflux symptoms, effective symptom control is the most important outcome, as only a subgroup requires investigations or interventions. However, patients with alarm features (i.e. troublesome dysphagia, weight loss, predominant upper abdominal pain) are not recommended for OTC therapy and need prompt medical referral. Frequent relapses or failure to adequately respond to OTC therapy are additional triggers for medical assessment. CONCLUSIONS: OTC treatment of typical reflux symptoms (acid regurgitation, heartburn) with antacids and H2RAs is now accepted as safe and results in short-term relief of symptoms. There is no evidence of additional risk with OTC PPIs compared to these existing OTC therapies and PPIs are significantly more efficacious.
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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".