A Systematic Review of Vaccinations to Reduce the Shedding of <i>Escherichia coli</i> O157 in the Faeces of Domestic Ruminants
Bibliographic record
Abstract
The objective of this study was to conduct a systematic review and meta-analysis of the published literature to evaluate the efficacy of vaccines in reducing faecal shedding of Escherichia coli O157 in ruminants. A systematic search of eight databases and land-grant university research reports using an algorithm adapted from a previous systematic review of pre-harvest interventions against E. coli O157 was conducted to locate all reports of in vivo trials of E. coli O157 vaccines in ruminants published between 1990 and 2010. All located references were screened by two independent reviewers, and data were extracted from all relevant papers, with treatment effect measured in odds ratios. For trials with a faecal prevalence outcome that did not involve mixing of treated and untreated cattle in the same pen, efficacy was explored using random-effects meta-analysis. Funnel plots were used to evaluate publication bias, and random-effects meta-regression was performed to explore heterogeneity. The search located 20 relevant manuscripts which detailed 24 trials and 46 treatment comparisons; all but one trial involved cattle. There were 9 deliberate challenge trials (19 comparisons), and 15 natural exposure trials (27 comparisons). For Type III protein vaccines, there were 9 natural exposure trials detailing 17 comparisons, and meta-analysis of 8 comparisons revealed that vaccine treatment resulted in a statistically significant reduction in E. coli O157 faecal prevalence [odds ratio (OR)=0.38, 95% confidence interval (CI)=0.29, 0.51]. Siderophore receptor and porin protein (SRP) vaccines (three trials/four comparisons) also reduced faecal prevalence (OR=0.42, 95% CI=0.20, 0.61); however, none of the bacterin vaccine trials (n=3, six comparisons) resulted in a statistically significant reduction in prevalence. The results suggest that Type III protein and SRP vaccines significantly reduce faecal shedding in cattle; however, caution should be taken in interpreting the results because of the heterogeneity in the 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 | 0.020 | 0.058 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.016 | 0.018 |
| Bibliometrics | 0.011 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| 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; 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".