Approach to gastroesophageal reflux disease in primary care: Putting the Montreal definition into practice.
Bibliographic record
Abstract
OBJECTIVE: To apply the recently published Montreal definition of gastroesophageal reflux disease (GERD) in primary care. SOURCES OF INFORMATION: The Montreal definition of GERD was developed by an international consensus group of experts in GERD and primary care physicians using rigorous evidence-based methods along with modern consensus development techniques and a patient-centred approach. MAIN MESSAGE: Gastroesophageal reflux disease can be diagnosed in primarycare based on symptoms alone without additional diagnostic testing. Symptoms reach a threshold where they constitute disease when they are troublesome (cause difficulty) to patients. In addition to the cardinal symptoms of heartburn and regurgitation, people with GERD can also have sleep disturbances, chest pains, or respiratory symptoms. Monitoring patients' response to proton pump inhibitor therapy can confirm the success of management. Treatment for symptoms of GERD can also heal underlying reflux esophagitis if it is present. CONCLUSION: Primary care physicians can diagnose and manage GERD confidently in most patients by investigating and treating troublesome symptoms without the need for additional investigations or referral to specialists.
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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 | 0.019 | 0.058 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".