Efficacy and Safety of Budesonide in the Treatment of Eosinophilic Esophagitis: Updated Systematic Review and Meta-Analysis of Randomized and Non-Randomized Studies
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Eosinophilic esophagitis (EE) is an immune/antigen-driven inflammation that causes esophageal dysfunction. Budesonide has shown promising effect in the management of EE in multiple studies, and we therefore conducted this systematic review/meta-analysis to assess budesonide efficacy and safety in order to provide more updated and robust evidence. METHODS: In April 2018, we conducted a systematic electronic search through four databases: PubMed, Scopus, Web of Science (ISI), and Cochrane Central. All original studies reporting the efficacy of budesonide in the treatment of EE were included in our meta-analysis. The Cochrane Collaboration tool was employed to assess the risk of bias among included randomized controlled trials, while the Newcastle-Ottawa Scale was used for non-randomized studies. RESULTS: A total of 12 studies including 555 participants were included in our review. Budesonide showed marked efficacy at the level of histological response compared to placebo [risk ratio (RR) (95% confidence interval (CI)) 11.93 (4.82-29.50); p > 0.001]. Analysis of randomized and non-randomized studies revealed considerable reduction in eosinophil count, with a mean difference (MD) (95% CI) of - 69.41 (- 105.31 to - 33.51; p < 0.001) and 46.85 (33.93-59.77; p < 0.001), respectively. Similarly, there was a marked improvement in the clinical symptoms via the analysis of randomized and non-randomized studies, with an RR (95% CI) of 1.72 (1.22-2.41; p = 0.002) and MD (95% CI) of 2.45 (0.76-4.15; p = 0.005), respectively. CONCLUSION: Budesonide showed significant effect at all treatment endpoints. However, since budesonide carries a risk of candidiasis and our inferences are based only on a small number of included studies, more research is warranted to clarify these results.
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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 | 0.025 | 0.053 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.024 | 0.042 |
| Bibliometrics | 0.010 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 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".