The methodological quality of trials affects estimates of treatment efficacy in functional (non‐ulcer) dyspepsia
Bibliographic record
Abstract
AIM: To evaluate treatment efficacy using objective quality criteria. METHODS: A systematic review was performed of randomized controlled trials of endoscopically investigated dyspepsia (1979-2003) using the Jadad score and Rome II guidelines. The Jadad score differentiated studies as 'high quality' (score 4-5/5) vs. 'poor quality' (score 1-3/5). Three key Rome II guidelines on study design (cut-off of 0/3 or > 0/3) were also compared with the Jadad score. RESULTS: Poor quality trials suggested a benefit of prokinetic therapy [relative risk (RR) of remaining dyspeptic, 0.47; 95% confidence interval (CI), 0.39-0.56), which was not confirmed in high quality trials (RR, 1.0; 95% CI, 0.84-1.19). There was a marked benefit of H2-receptor antagonist therapy in poor quality trials (RR, 0.68; 95% CI, 0.61-0.76), but a marginal benefit in good quality trials (RR, 0.87; 95% CI, 0.79-0.97). Trial quality did not affect the small statistically significant benefit seen with Helicobacter pylori eradication. Two high quality trials suggested a limited benefit with the use of proton pump inhibitors, with no poor quality trials to provide a comparison. Separation of the studies by the Rome II criteria had a similar impact on the calculated treatment estimates. CONCLUSIONS: The magnitude of benefit of prokinetic and H2-receptor antagonist therapies reported in previous meta-analyses has been over-estimated. The quality of trials has an impact on the efficacy estimates of treatment. The Rome II criteria for study methodology may be appropriate for judging study quality.
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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 | 0.472 | 0.755 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.016 | 0.021 |
| Bibliometrics | 0.013 | 0.013 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.009 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".