Efficacy of <i>Helicobacter pylori</i> eradication therapy for functional dyspepsia: updated systematic review and meta-analysis
Bibliographic record
Abstract
Objective Functional dyspepsia (FD) is a chronic disorder that is difficult to treat. Helicobacter pylori may contribute to its pathophysiology. A Cochrane review from 2006 suggested that eradication therapy was beneficial, but there have been numerous randomised controlled trials (RCTs) published since. We evaluated impact of eradication therapy on both cure and improvement of FD, as well as whether any benefit was likely to arise from eradication of H. pylori . Design We searched the medical literature through October 2021 to identify RCTs examining efficacy of eradication therapy in H. pylori -positive adults with FD. The control arm received antisecretory therapy or prokinetics, with or without placebo antibiotics, or placebo alone. Follow-up was for ≥3 months. We pooled dichotomous data to obtain a relative risk (RR) of symptoms not being cured or symptoms not improving with a 95% CI. We estimated the number needed to treat (NNT). Results Twenty-nine RCTs recruited 6781 H . pylori -positive patients with FD. Eradication therapy was superior to control for symptom cure (RR of symptoms not being cured=0.91; 95% CI 0.88 to 0.94, NNT=14; 95% CI 11 to 21) and improvement (RR of symptoms not improving=0.84; 95% CI 0.78 to 0.91, NNT=9; 95% CI 7 to 17). There was no significant correlation between eradication rate and RR of FD improving or being cured (Pearson correlation coefficient=−0.23, p=0.907), but the effect was larger in patients with successful eradication of H. pylori than with unsuccessful eradication (RR=0.65; 95% CI 0.52 to 0.82, NNT=4.5, 95% CI 3 to 9). Adverse events (RR=2.19; 95% 1.10 to 4.37) and adverse events leading to withdrawal (RR=2.60; 95% CI 1.47 to 4.58) were more common with eradication therapy. Conclusion There is high quality evidence to suggest that H. pylori eradication therapy leads to both cure and improvement in FD symptoms, although the benefit is modest.
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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 | 0.011 | 0.030 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.019 | 0.029 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".