Is <i>Helicobacter Pylori</i> infection inversely associated with atopy? A systematic review and meta‐analysis
Bibliographic record
Abstract
BACKGROUND: The role Helicobacter Pylori (H. pylori) infection plays in the aetiology of atopy remains unclear, although a possible protective role has been hypothesized. OBJECTIVE: The aim of this study was to undertake a systematic review and meta-analysis of epidemiological studies to quantify the association between H. pylori infection and atopy. METHODS: A comprehensive literature search in MEDLINE/PUBMED and EMBASE (up to August 2013) was carried out to identify all observational epidemiological studies (cross-sectional, cohort and case-control) published in English that evaluated the association between H. pylori infection and objectively measured atopy (measured by allergen skin tests or specific IgE). The quality of included studies was assessed by the Newcastle-Ottawa scale. Random-effects meta-analyses were performed to obtain pooled estimates of effect. RESULTS: Twenty-two observational studies involving 21 348 participants were identified as eligible for inclusion in the review, of which 16 were included in the meta-analysis. H. pylori infection was associated with a significantly reduced odds of atopy (pooled odds ratio (OR) 0.82; 95% confidence interval (CI) 0.73 - 0.91; P < 0.01). Subgroup analysis according to atopy definition revealed a slightly greater protective effect for atopy defined as raised allergen-specific IgE (OR 0.75; 95% CI 0.62 - 0.92; P < 0.01; seven studies). Findings did not differ according to the population age (adult or children), methodological quality or study design. CONCLUSION AND CLINICAL RELEVANCE: Evidence from epidemiological studies suggests that H. pylori infection is associated with an estimated 18% reduction in odds of atopy. If the observed association is causal, more insights into the underlying mechanisms could provide clues to possible therapeutic opportunities in allergic disease.
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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) | 0.012 | 0.005 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".