Managing dyspepsia without alarm signs in primary care: new national guidance for England and Wales
Bibliographic record
Abstract
AIM: To report new recommendations for the primary care management of dyspepsia without alarm signs in England and Wales. METHOD: An independent, representative group of health care professionals, patient representatives and researchers developed the guideline using evidence-based and small group-working principles, and incorporated extensive peer-reviewing and feedback from stakeholder organizations. RESULTS: Referral to investigate dyspepsia should be made for alarm signs and not on the basis of age alone, reflecting the balance of benefit and harm from endoscopy. Empirical management without formal diagnosis is appropriate for most patients: reviewing patient history, lifestyle, over-the-counter medicines, and providing a course of proton-pump inhibitors and/or Helicobacter pylori test and treatment. Patients with ongoing symptoms require at least annual review to discuss symptoms and lifestyle, and as appropriate, encourage stepping down prescribed medication and returning to self-care. A new strategy included in the step down process is the use of therapies 'on-demand'. CONCLUSION: The guideline provides structured and supported recommendations for both undiagnosed and endoscopically investigated dyspepsia. Some favour increased investigation to detect Barrett's oesophagus and carcinoma. However, there is inconclusive evidence that patients without alarm signs will benefit subsequently from endoscopy, while investigation involves a small but real risk of harm.
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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 | 0.015 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.010 | 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".