A systematic review and meta-analysis exploring the bidirectional association between asthma and gastroesophageal reflux disease in children
Bibliographic record
Abstract
Background: Asthma is the most prevalent chronic respiratory disease in children, and gastroesophageal reflux disease (GERD) is one of its extraesophageal complications of asthma. Both conditions are commonly observed in pediatric outpatient clinics, but the causality between them in children is still debated. Therefore, we conducted a systematic review and meta-analysis to evaluate the bidirectional association between asthma and GERD in children. Methods: We systematically reviewed original studies published from January 2000 to February 2024 by searching the data bases. We also performed manual retrieval and screening to identify studies that met the inclusion criteria. The quality of the final included studies was evaluated by using the Newcastle‐Ottawa Scale, and outcome measures were extracted. Results: We identified nine eligible studies, which included 304,399 children of different ages from seven countries. Overall, the risk of developing GERD in children with asthma (odds ratio [OR] 2.16 [95% confidence interval [CI], 1.6‐2.91) was higher than the risk of developing asthma in children with GERD (OR 1.55 [95% CI, 1.32‐1.82]). Conclusion: Based on the available studies, it can be concluded that asthma and GERD are mutually aggravating factors in children, presenting a bidirectional association. However, the risk of developing GERD in children with asthma is higher to some extent. More large-scale and high-quality prospective cohort studies are needed in the future to provide richer evidence and more research opportunities.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".