Randomized‐controlled trial of esomeprazole in functional dyspepsia patients with epigastric pain or burning: does a 1‐week trial of acid suppression predict symptom response?
Bibliographic record
Abstract
BACKGROUND: Early identification of true responders to acid suppression in functional dyspepsia patients with symptoms of epigastric pain or burning may enable clinicians to optimally tailor treatment. AIM: To evaluate whether a 1-w acid suppression trial is useful for identifying true responders in this population. METHODS: Patients (18-70 years) were randomized to either esomeprazole 40 mg q.d.s., b.d. or placebo for 1w, and then esomeprazole 40 mg q.d.s. or placebo for 7w. Epigastric pain and/or burning were recorded on a 4-point scale (0 = none, 3 = severe). Trial-week response was defined as symptom score sum < or = 1 on last 3d of therapy; response at 8w was symptom score sum < or = 1 over preceding 7d. RESULTS: 1-w response rates were 33% (199 of 597), 29% (188 of 629) and 23% (71 of 315) with esomeprazole q.d.s., esomeprazole b.d. and placebo, respectively (P = 0.002 for esomeprazole groups vs. placebo). At 8w, trial week sensitivity and specificity were 46% and 80%, respectively, for esomeprazole (40 or 80 mg), and 33% and 87%, respectively, for placebo. The positive and negative predictive values for esomeprazole were 60% and 69%. CONCLUSION: Response to a 1-w acid suppression trial is of limited use for predicting symptom response at 8w in patients with unexplained epigastric pain or burning.
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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| 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".