Heartburn‐dominant, uninvestigated dyspepsia: a comparison of ‘PPI‐start’ and ‘H<sub>2</sub>‐RA‐start’ management strategies in primary care – the CADET‐HR Study
Bibliographic record
Abstract
BACKGROUND: There are few data on empiric, stepped therapy for heartburn relief or subsequent relapse in primary care. AIMS: To compare heartburn relief produced by a proton pump inhibitor-start or an H(2)-receptor antagonist-start with step-up therapy, as needed, followed by a treatment-free period to assess relapse. METHODS: Heartburn-dominant uninvestigated dyspepsia patients from 46 primary care centres were randomized to one of two active treatment strategies: omeprazole 20 mg daily (proton pump inhibitor-start) or ranitidine 150 mg bid (H2-receptor antagonist-start) for the first 4-8 weeks, stepping up to omeprazole 40 or 20 mg daily, respectively, for 4-8 weeks for persistent symptoms. Daily diaries documented heartburn relief (score < or = 3/7 on < or = of 7 prior days) and relapse (score > or = 4 on > or = 2 of 7 prior days). RESULTS: For 'proton pump inhibitor-start' (n = 196) vs. 'H2-receptor antagonist-start' (n = 194), respectively, heartburn relief occurred in 55.1% vs. 27.3% (P < 0.001) at 4 weeks and in 88.3% vs. 87.1% at 16 weeks. After therapy, 308 patients were heartburn-free (159 vs. 149); median times to relapse were 8 vs. 9 days and cumulative relapse rates were 78.6% vs. 75.8%, respectively. CONCLUSIONS: An empiric 'proton pump inhibitor-start' strategy relieves heartburn more effectively than an 'H2-receptor antagonist-start' strategy up to 12 weeks but has no effect on subsequent relapse, which is rapid in most patients.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".